---
_id: '55916'
abstract:
- lang: eng
text: To produce explanations that are more likely to be accepted by humans, Explainable
Artificial Intelligence (XAI) systems need to incorporate explanation models grounded
in human communication patterns. So far, little is known about how an explainee,
who lacks understanding of an issue, and an explainer, who has knowledge to fill
the explainee's knowledge gap, actively shape an explanation process, and how
their involvement relates to explanatory success in terms of maximizing the explainee's
level of understanding. In this paper, we characterize explanations as dialogues
in which explainee and explainer take turns to advance the explanation process.
We build on an existing annotation scheme of ‘explanatory moves’ to characterize
such turns, and manually annotate 362 dialogical explanations from the “Explain
Like I'm Five” subreddit. Building on the annotated data, we compute correlations
between explanatory moves and explanatory success, measured on a five-point Likert
scale, in order to identify factors that are significantly correlated with explanatory
success. Based on a qualitative analysis of these factors, we develop a conceptual
model of the main factors that contribute to the success of explanatory dialogues.
author:
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A model of factors contributing to the
success of dialogical explanations. In: Proceedings of the 26th ACM International
Conference on Multimodal Interaction. ACM; 2024:373-381. doi:10.1145/3678957.3685744'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). A model of factors
contributing to the success of dialogical explanations. Proceedings of the
26th ACM International Conference on Multimodal Interaction, 373–381. https://doi.org/10.1145/3678957.3685744
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2024, place={San José, Costa
Rica}, title={A model of factors contributing to the success of dialogical explanations},
DOI={10.1145/3678957.3685744},
booktitle={Proceedings of the 26th ACM International Conference on Multimodal
Interaction}, publisher={ACM}, author={Booshehri, Meisam and Buschmeier, Hendrik
and Cimiano, Philipp}, year={2024}, pages={373–381} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A Model of
Factors Contributing to the Success of Dialogical Explanations.” In Proceedings
of the 26th ACM International Conference on Multimodal Interaction, 373–81.
San José, Costa Rica: ACM, 2024. https://doi.org/10.1145/3678957.3685744.'
ieee: 'M. Booshehri, H. Buschmeier, and P. Cimiano, “A model of factors contributing
to the success of dialogical explanations,” in Proceedings of the 26th ACM
International Conference on Multimodal Interaction, San José, Costa Rica,
2024, pp. 373–381, doi: 10.1145/3678957.3685744.'
mla: Booshehri, Meisam, et al. “A Model of Factors Contributing to the Success of
Dialogical Explanations.” Proceedings of the 26th ACM International Conference
on Multimodal Interaction, ACM, 2024, pp. 373–81, doi:10.1145/3678957.3685744.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 26th ACM
International Conference on Multimodal Interaction, ACM, San José, Costa Rica,
2024, pp. 373–381.'
conference:
end_date: 2024-11-08
location: San José, Costa Rica
name: 26th ACM International Conference on Multimodal Interaction
start_date: 2024-11-04
date_created: 2024-08-30T07:55:36Z
date_updated: 2025-09-11T10:16:55Z
department:
- _id: '660'
doi: 10.1145/3678957.3685744
extern: '1'
language:
- iso: eng
page: 373-381
place: San José, Costa Rica
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 26th ACM International Conference on Multimodal Interaction
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: A model of factors contributing to the success of dialogical explanations
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55995'
abstract:
- lang: eng
text: Scripted dialogues such as movie and TV subtitles constitute a widespread
source of training data for conversational NLP models. However, there are notable
linguistic differences between these dialogues and spontaneous interactions, especially
regarding the occurrence of communicative feedback such as backchannels, acknowledgments,
or clarification requests. This paper presents a quantitative analysis of such
feedback phenomena in both subtitles and spontaneous conversations. Based on conversational
data spanning eight languages and multiple genres, we extract lexical statistics,
classifications from a dialogue act tagger, expert annotations and labels derived
from a fine-tuned Large Language Model (LLM). Our main empirical findings are
that (1) communicative feedback is markedly less frequent in subtitles than in
spontaneous dialogues and (2) subtitles contain a higher proportion of negative
feedback. We also show that dialogues generated by standard LLMs lie much closer
to scripted dialogues than spontaneous interactions in terms of communicative
feedback.
author:
- first_name: Ildikó
full_name: Pilán, Ildikó
last_name: Pilán
- first_name: Laurent
full_name: Prévot, Laurent
last_name: Prévot
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Pierre
full_name: Lison, Pierre
last_name: Lison
citation:
ama: 'Pilán I, Prévot L, Buschmeier H, Lison P. Conversational feedback in scripted
versus spontaneous dialogues: A comparative analysis. In: Proceedings of the
25th Meeting of the Special Interest Group on Discourse and Dialogue. ; 2024:440–457.
doi:10.18653/v1/2024.sigdial-1.38'
apa: 'Pilán, I., Prévot, L., Buschmeier, H., & Lison, P. (2024). Conversational
feedback in scripted versus spontaneous dialogues: A comparative analysis. Proceedings
of the 25th Meeting of the Special Interest Group on Discourse and Dialogue,
440–457. https://doi.org/10.18653/v1/2024.sigdial-1.38'
bibtex: '@inproceedings{Pilán_Prévot_Buschmeier_Lison_2024, place={Kyoto, Japan},
title={Conversational feedback in scripted versus spontaneous dialogues: A comparative
analysis}, DOI={10.18653/v1/2024.sigdial-1.38},
booktitle={Proceedings of the 25th Meeting of the Special Interest Group on Discourse
and Dialogue}, author={Pilán, Ildikó and Prévot, Laurent and Buschmeier, Hendrik
and Lison, Pierre}, year={2024}, pages={440–457} }'
chicago: 'Pilán, Ildikó, Laurent Prévot, Hendrik Buschmeier, and Pierre Lison. “Conversational
Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis.” In
Proceedings of the 25th Meeting of the Special Interest Group on Discourse
and Dialogue, 440–457. Kyoto, Japan, 2024. https://doi.org/10.18653/v1/2024.sigdial-1.38.'
ieee: 'I. Pilán, L. Prévot, H. Buschmeier, and P. Lison, “Conversational feedback
in scripted versus spontaneous dialogues: A comparative analysis,” in Proceedings
of the 25th Meeting of the Special Interest Group on Discourse and Dialogue,
Kyoto, Japan, 2024, pp. 440–457, doi: 10.18653/v1/2024.sigdial-1.38.'
mla: 'Pilán, Ildikó, et al. “Conversational Feedback in Scripted versus Spontaneous
Dialogues: A Comparative Analysis.” Proceedings of the 25th Meeting of the
Special Interest Group on Discourse and Dialogue, 2024, pp. 440–457, doi:10.18653/v1/2024.sigdial-1.38.'
short: 'I. Pilán, L. Prévot, H. Buschmeier, P. Lison, in: Proceedings of the 25th
Meeting of the Special Interest Group on Discourse and Dialogue, Kyoto, Japan,
2024, pp. 440–457.'
conference:
end_date: 2024-09-20
location: Kyoto, Japan
name: 25th Meeting of the Special Interest Group on Discourse and Dialogue (SIGdial
2024)
start_date: 2024-09-18
date_created: 2024-09-03T07:39:14Z
date_updated: 2025-09-11T10:17:21Z
department:
- _id: '660'
doi: 10.18653/v1/2024.sigdial-1.38
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 440–457
place: Kyoto, Japan
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Proceedings of the 25th Meeting of the Special Interest Group on Discourse
and Dialogue
publication_status: published
quality_controlled: '1'
status: public
title: 'Conversational feedback in scripted versus spontaneous dialogues: A comparative
analysis'
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55913'
abstract:
- lang: eng
text: 'We examined the turn-taking dynamics across different phases of explanatory
dialogues, in which 21 different explainers explained a board game to 2–3 explainees
each. Turn-taking dynamics are investigated focusing on >19K floor transitions,
i.e., the detailed patterns characterizing turn keeping or turn yielding events
(Gilmartin et al., 2020). The explanations were characterized by three different
phases (board game absent, board game present, interactive game play), for which
we observed differences in turn-taking dynamics: explanations where the board
game is absent are characterized by less complex floor transitions, while explanations
with a concretely shared reference space are characterized by more complex floor
transitions, as well as more floor transitions between interlocutors. Also, the
speakers’ dialogue role (explainer vs. explainee) appears to have a strong impact
on turn-taking dynamics, as floor transitions that do not conform with the dialogue
role tend to involve more effort, or floor management work.'
author:
- first_name: Petra
full_name: Wagner, Petra
id: '74505'
last_name: Wagner
- first_name: Marcin
full_name: Włodarczak, Marcin
last_name: Włodarczak
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Olcay
full_name: Türk, Olcay
last_name: Türk
- first_name: Emer
full_name: Gilmartin, Emer
last_name: Gilmartin
citation:
ama: 'Wagner P, Włodarczak M, Buschmeier H, Türk O, Gilmartin E. Turn-taking dynamics
across different phases of explanatory dialogues. In: Proceedings of the 28th
Workshop on the Semantics and Pragmatics of Dialogue. ; 2024:6-14.'
apa: Wagner, P., Włodarczak, M., Buschmeier, H., Türk, O., & Gilmartin, E. (2024).
Turn-taking dynamics across different phases of explanatory dialogues. Proceedings
of the 28th Workshop on the Semantics and Pragmatics of Dialogue, 6–14.
bibtex: '@inproceedings{Wagner_Włodarczak_Buschmeier_Türk_Gilmartin_2024, place={Trento,
Italy}, title={Turn-taking dynamics across different phases of explanatory dialogues},
booktitle={Proceedings of the 28th Workshop on the Semantics and Pragmatics of
Dialogue}, author={Wagner, Petra and Włodarczak, Marcin and Buschmeier, Hendrik
and Türk, Olcay and Gilmartin, Emer}, year={2024}, pages={6–14} }'
chicago: Wagner, Petra, Marcin Włodarczak, Hendrik Buschmeier, Olcay Türk, and Emer
Gilmartin. “Turn-Taking Dynamics across Different Phases of Explanatory Dialogues.”
In Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue,
6–14. Trento, Italy, 2024.
ieee: P. Wagner, M. Włodarczak, H. Buschmeier, O. Türk, and E. Gilmartin, “Turn-taking
dynamics across different phases of explanatory dialogues,” in Proceedings
of the 28th Workshop on the Semantics and Pragmatics of Dialogue, Trento,
Italy, 2024, pp. 6–14.
mla: Wagner, Petra, et al. “Turn-Taking Dynamics across Different Phases of Explanatory
Dialogues.” Proceedings of the 28th Workshop on the Semantics and Pragmatics
of Dialogue, 2024, pp. 6–14.
short: 'P. Wagner, M. Włodarczak, H. Buschmeier, O. Türk, E. Gilmartin, in: Proceedings
of the 28th Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy,
2024, pp. 6–14.'
conference:
end_date: 2024-09-13
location: Trento, Italy
name: The 28th Workshop on the Semantics and Pragmatics of Dialogue
start_date: 2024-09-11
date_created: 2024-08-30T07:43:04Z
date_updated: 2025-09-11T10:17:32Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.semdial.org/anthology/papers/Z/Z24/Z24-3001/
oa: '1'
page: 6-14
place: Trento, Italy
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue
publication_identifier:
issn:
- 2308-2275
publication_status: published
quality_controlled: '1'
status: public
title: Turn-taking dynamics across different phases of explanatory dialogues
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '56190'
abstract:
- lang: eng
text: 'This study investigates the potential of using advanced conversational artificial
intelligence (AI) to help people understand complex AI systems. In line with conversation-analytic
research, we view the participatory role of AI as dynamically unfolding in a situation
rather than being predetermined by its architecture. To study user sensemaking
of intransparent AI systems, we set up a naturalistic encounter between human
participants and two AI systems developed in-house: a reinforcement learning simulation
and a GPT-4-based explainer chatbot. Our results reveal that an explainer-AI only
truly functions as such when participants actively engage with it as a co-constructive
agent. Both the interface’s spatial configuration and the asynchronous temporal
nature of the explainer AI – combined with the users’ presuppositions about its
role – contribute to the decision whether to treat the AI as a dialogical co-participant
in the interaction. Participants establish evidentiality conventions and sensemaking
procedures that may diverge from a system’s intended design or function.'
article_type: original
author:
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Maria
full_name: Erofeeva, Maria
last_name: Erofeeva
- first_name: Michael
full_name: Lenke, Michael
id: '32621'
last_name: Lenke
- first_name: Ilona
full_name: Horwath, Ilona
id: '68836'
last_name: Horwath
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
citation:
ama: Klowait N, Erofeeva M, Lenke M, Horwath I, Buschmeier H. Can AI explain AI?
Interactive co-construction of explanations among human and artificial agents.
Discourse & Communication. 2024;18(6):917-930. doi:10.1177/17504813241267069
apa: Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., & Buschmeier, H. (2024).
Can AI explain AI? Interactive co-construction of explanations among human and
artificial agents. Discourse & Communication, 18(6), 917–930.
https://doi.org/10.1177/17504813241267069
bibtex: '@article{Klowait_Erofeeva_Lenke_Horwath_Buschmeier_2024, title={Can AI
explain AI? Interactive co-construction of explanations among human and artificial
agents}, volume={18}, DOI={10.1177/17504813241267069},
number={6}, journal={Discourse & Communication}, publisher={Sage}, author={Klowait,
Nils and Erofeeva, Maria and Lenke, Michael and Horwath, Ilona and Buschmeier,
Hendrik}, year={2024}, pages={917–930} }'
chicago: 'Klowait, Nils, Maria Erofeeva, Michael Lenke, Ilona Horwath, and Hendrik
Buschmeier. “Can AI Explain AI? Interactive Co-Construction of Explanations among
Human and Artificial Agents.” Discourse & Communication 18, no. 6 (2024):
917–30. https://doi.org/10.1177/17504813241267069.'
ieee: 'N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, and H. Buschmeier, “Can AI
explain AI? Interactive co-construction of explanations among human and artificial
agents,” Discourse & Communication, vol. 18, no. 6, pp. 917–930, 2024,
doi: 10.1177/17504813241267069.'
mla: Klowait, Nils, et al. “Can AI Explain AI? Interactive Co-Construction of Explanations
among Human and Artificial Agents.” Discourse & Communication, vol.
18, no. 6, Sage, 2024, pp. 917–30, doi:10.1177/17504813241267069.
short: N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, H. Buschmeier, Discourse &
Communication 18 (2024) 917–930.
date_created: 2024-09-20T09:21:14Z
date_updated: 2025-09-11T14:09:42Z
ddc:
- '300'
department:
- _id: '660'
doi: 10.1177/17504813241267069
file:
- access_level: closed
content_type: application/pdf
creator: hbuschme
date_created: 2024-10-03T16:03:33Z
date_updated: 2024-10-03T16:03:33Z
file_id: '56313'
file_name: klowait-etal-2024-DCM.pdf
file_size: 2488042
relation: main_file
success: 1
file_date_updated: 2024-10-03T16:03:33Z
has_accepted_license: '1'
intvolume: ' 18'
issue: '6'
language:
- iso: eng
page: 917-930
project:
- _id: '119'
name: 'TRR 318 - Ö: TRR 318 - Project Area Ö'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Discourse & Communication
publication_status: published
publisher: Sage
quality_controlled: '1'
related_material:
link:
- relation: supplementary_material
url: https://doi.org/10.17605/OSF.IO/4YMT3
status: public
title: Can AI explain AI? Interactive co-construction of explanations among human
and artificial agents
type: journal_article
user_id: '98454'
volume: 18
year: '2024'
...
---
_id: '58224'
author:
- first_name: Philip
full_name: Kenneweg, Philip
last_name: Kenneweg
- first_name: Tristan
full_name: Kenneweg, Tristan
last_name: Kenneweg
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Kenneweg P, Kenneweg T, Fumagalli F, Hammer B. No learning rates needed: Introducing
SALSA - Stable Armijo Line Search Adaptation. In: 2024 International Joint
Conference on Neural Networks (IJCNN). ; 2024:1-8. doi:10.1109/IJCNN60899.2024.10650124'
apa: 'Kenneweg, P., Kenneweg, T., Fumagalli, F., & Hammer, B. (2024). No learning
rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. 2024
International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN60899.2024.10650124'
bibtex: '@inproceedings{Kenneweg_Kenneweg_Fumagalli_Hammer_2024, title={No learning
rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation}, DOI={10.1109/IJCNN60899.2024.10650124},
booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, author={Kenneweg,
Philip and Kenneweg, Tristan and Fumagalli, Fabian and Hammer, Barbara}, year={2024},
pages={1–8} }'
chicago: 'Kenneweg, Philip, Tristan Kenneweg, Fabian Fumagalli, and Barbara Hammer.
“No Learning Rates Needed: Introducing SALSA - Stable Armijo Line Search Adaptation.”
In 2024 International Joint Conference on Neural Networks (IJCNN), 1–8,
2024. https://doi.org/10.1109/IJCNN60899.2024.10650124.'
ieee: 'P. Kenneweg, T. Kenneweg, F. Fumagalli, and B. Hammer, “No learning rates
needed: Introducing SALSA - Stable Armijo Line Search Adaptation,” in 2024
International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8,
doi: 10.1109/IJCNN60899.2024.10650124.'
mla: 'Kenneweg, Philip, et al. “No Learning Rates Needed: Introducing SALSA - Stable
Armijo Line Search Adaptation.” 2024 International Joint Conference on Neural
Networks (IJCNN), 2024, pp. 1–8, doi:10.1109/IJCNN60899.2024.10650124.'
short: 'P. Kenneweg, T. Kenneweg, F. Fumagalli, B. Hammer, in: 2024 International
Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8.'
date_created: 2025-01-16T16:21:28Z
date_updated: 2025-09-11T15:37:42Z
department:
- _id: '660'
doi: 10.1109/IJCNN60899.2024.10650124
keyword:
- Training
- Schedules
- Codes
- Search methods
- Source coding
- Computer architecture
- Transformers
language:
- iso: eng
page: 1-8
project:
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
publication: 2024 International Joint Conference on Neural Networks (IJCNN)
status: public
title: 'No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation'
type: conference
user_id: '93420'
year: '2024'
...
---
_id: '53073'
abstract:
- lang: eng
text: While shallow decision trees may be interpretable, larger ensemble models
like gradient-boosted trees, which often set the state of the art in machine learning
problems involving tabular data, still remain black box models. As a remedy, the
Shapley value (SV) is a well-known concept in explainable artificial intelligence
(XAI) research for quantifying additive feature attributions of predictions. The
model-specific TreeSHAP methodology solves the exponential complexity for retrieving
exact SVs from tree-based models. Expanding beyond individual feature attribution,
Shapley interactions reveal the impact of intricate feature interactions of any
order. In this work, we present TreeSHAP-IQ, an efficient method to compute any-order
additive Shapley interactions for predictions of tree-based models. TreeSHAP-IQ
is supported by a mathematical framework that exploits polynomial arithmetic to
compute the interaction scores in a single recursive traversal of the tree, akin
to Linear TreeSHAP. We apply TreeSHAP-IQ on state-of-the-art tree ensembles and
explore interactions on well-established benchmark datasets.
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: 'Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Beyond TreeSHAP: Efficient
Computation of Any-Order Shapley Interactions for Tree Ensembles. In: Proceedings
of the AAAI Conference on Artificial Intelligence (AAAI). Vol 38. ; 2024:14388-14396.
doi:10.1609/aaai.v38i13.29352'
apa: 'Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). Beyond
TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(13),
14388–14396. https://doi.org/10.1609/aaai.v38i13.29352'
bibtex: '@inproceedings{Muschalik_Fumagalli_Hammer_Huellermeier_2024, title={Beyond
TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles},
volume={38}, DOI={10.1609/aaai.v38i13.29352},
number={13}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence
(AAAI)}, author={Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara
and Huellermeier, Eyke}, year={2024}, pages={14388–14396} }'
chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier.
“Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for
Tree Ensembles.” In Proceedings of the AAAI Conference on Artificial Intelligence
(AAAI), 38:14388–96, 2024. https://doi.org/10.1609/aaai.v38i13.29352.'
ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP:
Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,” in
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024,
vol. 38, no. 13, pp. 14388–14396, doi: 10.1609/aaai.v38i13.29352.'
mla: 'Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order
Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference
on Artificial Intelligence (AAAI), vol. 38, no. 13, 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.'
short: 'M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Proceedings
of the AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 14388–14396.'
date_created: 2024-03-27T14:50:04Z
date_updated: 2025-09-11T16:20:11Z
department:
- _id: '660'
doi: 10.1609/aaai.v38i13.29352
intvolume: ' 38'
issue: '13'
keyword:
- Explainable Artificial Intelligence
language:
- iso: eng
page: 14388-14396
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
publication: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
publication_identifier:
issn:
- 2374-3468
- 2159-5399
publication_status: published
status: public
title: 'Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for
Tree Ensembles'
type: conference
user_id: '93420'
volume: 38
year: '2024'
...
---
_id: '55311'
abstract:
- lang: eng
text: Addressing the limitations of individual attribution scores via the Shapley
value (SV), the field of explainable AI (XAI) has recently explored intricate
interactions of features or data points. In particular, extensions of the SV,
such as the Shapley Interaction Index (SII), have been proposed as a measure to
still benefit from the axiomatic basis of the SV. However, similar to the SV,
their exact computation remains computationally prohibitive. Hence, we propose
with SVARM-IQ a sampling-based approach to efficiently approximate Shapley-based
interaction indices of any order. SVARM-IQ can be applied to a broad class of
interaction indices, including the SII, by leveraging a novel stratified representation.
We provide non-asymptotic theoretical guarantees on its approximation quality
and empirically demonstrate that SVARM-IQ achieves state-of-the-art estimation
results in practical XAI scenarios on different model classes and application
domains.
author:
- first_name: Patrick
full_name: Kolpaczki, Patrick
last_name: Kolpaczki
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: 'Kolpaczki P, Muschalik M, Fumagalli F, Hammer B, Huellermeier E. SVARM-IQ:
Efficient Approximation of Any-order Shapley Interactions through Stratification.
In: Proceedings of The 27th International Conference on Artificial Intelligence
and Statistics (AISTATS). Vol 238. Proceedings of Machine Learning Research.
PMLR; 2024:3520–3528.'
apa: 'Kolpaczki, P., Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier,
E. (2024). SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions
through Stratification. Proceedings of The 27th International Conference on
Artificial Intelligence and Statistics (AISTATS), 238, 3520–3528.'
bibtex: '@inproceedings{Kolpaczki_Muschalik_Fumagalli_Hammer_Huellermeier_2024,
series={Proceedings of Machine Learning Research}, title={SVARM-IQ: Efficient
Approximation of Any-order Shapley Interactions through Stratification}, volume={238},
booktitle={Proceedings of The 27th International Conference on Artificial Intelligence
and Statistics (AISTATS)}, publisher={PMLR}, author={Kolpaczki, Patrick and Muschalik,
Maximilian and Fumagalli, Fabian and Hammer, Barbara and Huellermeier, Eyke},
year={2024}, pages={3520–3528}, collection={Proceedings of Machine Learning Research}
}'
chicago: 'Kolpaczki, Patrick, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer,
and Eyke Huellermeier. “SVARM-IQ: Efficient Approximation of Any-Order Shapley
Interactions through Stratification.” In Proceedings of The 27th International
Conference on Artificial Intelligence and Statistics (AISTATS), 238:3520–3528.
Proceedings of Machine Learning Research. PMLR, 2024.'
ieee: 'P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier,
“SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification,”
in Proceedings of The 27th International Conference on Artificial Intelligence
and Statistics (AISTATS), 2024, vol. 238, pp. 3520–3528.'
mla: 'Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order
Shapley Interactions through Stratification.” Proceedings of The 27th International
Conference on Artificial Intelligence and Statistics (AISTATS), vol. 238,
PMLR, 2024, pp. 3520–3528.'
short: 'P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in:
Proceedings of The 27th International Conference on Artificial Intelligence and
Statistics (AISTATS), PMLR, 2024, pp. 3520–3528.'
date_created: 2024-07-18T09:39:14Z
date_updated: 2025-09-11T16:22:30Z
department:
- _id: '660'
intvolume: ' 238'
language:
- iso: eng
page: 3520–3528
project:
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
publication: Proceedings of The 27th International Conference on Artificial Intelligence
and Statistics (AISTATS)
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: 'SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through
Stratification'
type: conference
user_id: '93420'
volume: 238
year: '2024'
...
---
_id: '58223'
abstract:
- lang: eng
text: The Shapley value (SV) is a prevalent approach of allocating credit to machine
learning (ML) entities to understand black box ML models. Enriching such interpretations
with higher-order interactions is inevitable for complex systems, where the Shapley
Interaction Index (SII) is a direct axiomatic extension of the SV. While it is
well-known that the SV yields an optimal approximation of any game via a weighted
least square (WLS) objective, an extension of this result to SII has been a long-standing
open problem, which even led to the proposal of an alternative index. In this
work, we characterize higher-order SII as a solution to a WLS problem, which constructs
an optimal approximation via SII and k-Shapley values (k-SII). We prove this representation
for the SV and pairwise SII and give empirically validated conjectures for higher
orders. As a result, we propose KernelSHAP-IQ, a direct extension of KernelSHAP
for SII, and demonstrate state-of-the-art performance for feature interactions.
author:
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Patrick
full_name: Kolpaczki, Patrick
last_name: Kolpaczki
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. KernelSHAP-IQ:
Weighted Least Square Optimization for Shapley Interactions. In: Proceedings
of the 41st International Conference on Machine Learning (ICML). Vol 235.
Proceedings of Machine Learning Research. PMLR; 2024:14308–14342.'
apa: 'Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer,
B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
Proceedings of the 41st International Conference on Machine Learning (ICML),
235, 14308–14342.'
bibtex: '@inproceedings{Fumagalli_Muschalik_Kolpaczki_Hüllermeier_Hammer_2024, series={Proceedings
of Machine Learning Research}, title={KernelSHAP-IQ: Weighted Least Square Optimization
for Shapley Interactions}, volume={235}, booktitle={Proceedings of the 41st International
Conference on Machine Learning (ICML)}, publisher={PMLR}, author={Fumagalli, Fabian
and Muschalik, Maximilian and Kolpaczki, Patrick and Hüllermeier, Eyke and Hammer,
Barbara}, year={2024}, pages={14308–14342}, collection={Proceedings of Machine
Learning Research} }'
chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier,
and Barbara Hammer. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley
Interactions.” In Proceedings of the 41st International Conference on Machine
Learning (ICML), 235:14308–14342. Proceedings of Machine Learning Research.
PMLR, 2024.'
ieee: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer,
“KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions,”
in Proceedings of the 41st International Conference on Machine Learning (ICML),
2024, vol. 235, pp. 14308–14342.'
mla: 'Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization
for Shapley Interactions.” Proceedings of the 41st International Conference
on Machine Learning (ICML), vol. 235, PMLR, 2024, pp. 14308–14342.'
short: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in:
Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR,
2024, pp. 14308–14342.'
date_created: 2025-01-16T16:12:16Z
date_updated: 2025-09-11T16:27:05Z
department:
- _id: '660'
intvolume: ' 235'
language:
- iso: eng
page: 14308–14342
project:
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
publication: Proceedings of the 41st International Conference on Machine Learning
(ICML)
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: 'KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions'
type: conference
user_id: '93420'
volume: 235
year: '2024'
...
---
_id: '61228'
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Hubert
full_name: Baniecki, Hubert
last_name: Baniecki
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Patrick
full_name: Kolpaczki, Patrick
last_name: Kolpaczki
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: 'Muschalik M, Baniecki H, Fumagalli F, Kolpaczki P, Hammer B, Huellermeier
E. shapiq: Shapley interactions for machine learning. In: Advances in Neural
Information Processing Systems (NeurIPS). Vol 37. ; 2024:130324–130357.'
apa: 'Muschalik, M., Baniecki, H., Fumagalli, F., Kolpaczki, P., Hammer, B., &
Huellermeier, E. (2024). shapiq: Shapley interactions for machine learning. Advances
in Neural Information Processing Systems (NeurIPS), 37, 130324–130357.'
bibtex: '@inproceedings{Muschalik_Baniecki_Fumagalli_Kolpaczki_Hammer_Huellermeier_2024,
title={shapiq: Shapley interactions for machine learning}, volume={37}, booktitle={Advances
in Neural Information Processing Systems (NeurIPS)}, author={Muschalik, Maximilian
and Baniecki, Hubert and Fumagalli, Fabian and Kolpaczki, Patrick and Hammer,
Barbara and Huellermeier, Eyke}, year={2024}, pages={130324–130357} }'
chicago: 'Muschalik, Maximilian, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki,
Barbara Hammer, and Eyke Huellermeier. “Shapiq: Shapley Interactions for Machine
Learning.” In Advances in Neural Information Processing Systems (NeurIPS),
37:130324–130357, 2024.'
ieee: 'M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, and E.
Huellermeier, “shapiq: Shapley interactions for machine learning,” in Advances
in Neural Information Processing Systems (NeurIPS), 2024, vol. 37, pp. 130324–130357.'
mla: 'Muschalik, Maximilian, et al. “Shapiq: Shapley Interactions for Machine Learning.”
Advances in Neural Information Processing Systems (NeurIPS), vol. 37, 2024,
pp. 130324–130357.'
short: 'M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, E. Huellermeier,
in: Advances in Neural Information Processing Systems (NeurIPS), 2024, pp. 130324–130357.'
date_created: 2025-09-11T15:39:01Z
date_updated: 2025-09-11T16:17:35Z
department:
- _id: '660'
intvolume: ' 37'
language:
- iso: eng
page: 130324–130357
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
publication: Advances in Neural Information Processing Systems (NeurIPS)
status: public
title: 'shapiq: Shapley interactions for machine learning'
type: conference
user_id: '93420'
volume: 37
year: '2024'
...
---
_id: '61230'
author:
- first_name: Patrick
full_name: Kolpaczki, Patrick
last_name: Kolpaczki
- first_name: Viktor
full_name: Bengs, Viktor
last_name: Bengs
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
citation:
ama: 'Kolpaczki P, Bengs V, Muschalik M, Hüllermeier E. Approximating the shapley
value without marginal contributions. In: Proceedings of the AAAI Conference
on Artificial Intelligence (AAAI). Vol 38. ; 2024:13246–13255.'
apa: Kolpaczki, P., Bengs, V., Muschalik, M., & Hüllermeier, E. (2024). Approximating
the shapley value without marginal contributions. Proceedings of the AAAI Conference
on Artificial Intelligence (AAAI), 38(12), 13246–13255.
bibtex: '@inproceedings{Kolpaczki_Bengs_Muschalik_Hüllermeier_2024, title={Approximating
the shapley value without marginal contributions}, volume={38}, number={12}, booktitle={Proceedings
of the AAAI conference on Artificial Intelligence (AAAI)}, author={Kolpaczki,
Patrick and Bengs, Viktor and Muschalik, Maximilian and Hüllermeier, Eyke}, year={2024},
pages={13246–13255} }'
chicago: Kolpaczki, Patrick, Viktor Bengs, Maximilian Muschalik, and Eyke Hüllermeier.
“Approximating the Shapley Value without Marginal Contributions.” In Proceedings
of the AAAI Conference on Artificial Intelligence (AAAI), 38:13246–13255,
2024.
ieee: P. Kolpaczki, V. Bengs, M. Muschalik, and E. Hüllermeier, “Approximating the
shapley value without marginal contributions,” in Proceedings of the AAAI conference
on Artificial Intelligence (AAAI), 2024, vol. 38, no. 12, pp. 13246–13255.
mla: Kolpaczki, Patrick, et al. “Approximating the Shapley Value without Marginal
Contributions.” Proceedings of the AAAI Conference on Artificial Intelligence
(AAAI), vol. 38, no. 12, 2024, pp. 13246–13255.
short: 'P. Kolpaczki, V. Bengs, M. Muschalik, E. Hüllermeier, in: Proceedings of
the AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 13246–13255.'
date_created: 2025-09-11T15:46:40Z
date_updated: 2025-09-11T16:17:54Z
department:
- _id: '660'
intvolume: ' 38'
issue: '12'
language:
- iso: eng
page: 13246–13255
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
publication: Proceedings of the AAAI conference on Artificial Intelligence (AAAI)
status: public
title: Approximating the shapley value without marginal contributions
type: conference
user_id: '93420'
volume: 38
year: '2024'
...
---
_id: '61176'
abstract:
- lang: eng
text: We revisit the phenomenon of syntactic complexity convergence in conversational
interaction, originally found for English dialogue, which has theoretical implication
for dialogical concepts such as mutual understanding. We use a modified metric
to quantify syntactic complexity based on dependency parsing. The results show
that syntactic complexity convergence can be statistically confirmed in one of
three selected German datasets that were analysed. Given that the dataset which
shows such convergence is much larger than the other two selected datasets, the
empirical results indicate a certain degree of linguistic generality of syntactic
complexity convergence in conversational interaction. We also found a different
type of syntactic complexity convergence in one of the datasets while further
investigation is still necessary.
author:
- first_name: Yu
full_name: Wang, Yu
last_name: Wang
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
citation:
ama: 'Wang Y, Buschmeier H. Revisiting the phenomenon of syntactic complexity convergence
on German dialogue data. In: Proceedings of the 20th Conference on Natural
Language Processing (KONVENS 2024). ; 2024:75–80.'
apa: Wang, Y., & Buschmeier, H. (2024). Revisiting the phenomenon of syntactic
complexity convergence on German dialogue data. Proceedings of the 20th Conference
on Natural Language Processing (KONVENS 2024), 75–80.
bibtex: '@inproceedings{Wang_Buschmeier_2024, place={Vienna, Austria}, title={Revisiting
the phenomenon of syntactic complexity convergence on German dialogue data}, booktitle={Proceedings
of the 20th Conference on Natural Language Processing (KONVENS 2024)}, author={Wang,
Yu and Buschmeier, Hendrik}, year={2024}, pages={75–80} }'
chicago: Wang, Yu, and Hendrik Buschmeier. “Revisiting the Phenomenon of Syntactic
Complexity Convergence on German Dialogue Data.” In Proceedings of the 20th
Conference on Natural Language Processing (KONVENS 2024), 75–80. Vienna, Austria,
2024.
ieee: Y. Wang and H. Buschmeier, “Revisiting the phenomenon of syntactic complexity
convergence on German dialogue data,” in Proceedings of the 20th Conference
on Natural Language Processing (KONVENS 2024), Vienna, Austria, 2024, pp.
75–80.
mla: Wang, Yu, and Hendrik Buschmeier. “Revisiting the Phenomenon of Syntactic Complexity
Convergence on German Dialogue Data.” Proceedings of the 20th Conference on
Natural Language Processing (KONVENS 2024), 2024, pp. 75–80.
short: 'Y. Wang, H. Buschmeier, in: Proceedings of the 20th Conference on Natural
Language Processing (KONVENS 2024), Vienna, Austria, 2024, pp. 75–80.'
conference:
end_date: 2024-09-12
location: Vienna, Austria
name: 20th Conference on Natural Language Processing (KONVENS 2024)
start_date: 2024-09-11
date_created: 2025-09-11T07:08:24Z
date_updated: 2025-09-12T06:25:05Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2024.konvens-main.8
oa: '1'
page: 75–80
place: Vienna, Austria
project:
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Proceedings of the 20th Conference on Natural Language Processing (KONVENS
2024)
publication_status: published
quality_controlled: '1'
status: public
title: Revisiting the phenomenon of syntactic complexity convergence on German dialogue
data
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55911'
abstract:
- lang: eng
text: According to the Entropy Rate Constancy (ERC) principle, the information density
of a text is approximately constant over its length. Whether this principle also
applies to nonverbal communication signals is still under investigation. We perform
empirical analyses of video-recorded dialogue data and investigate whether listener
gaze, as an important nonverbal communication signal, adheres to the ERC principle.
Results show (1) that the ERC principle holds for listener gaze; and (2) that
the two linguistic factors syntactic complexity and turn transition potential
are weakly correlated with local entropy of listener gaze.
author:
- first_name: Yu
full_name: Wang, Yu
last_name: Wang
- first_name: Yang
full_name: Xu, Yang
last_name: Xu
- first_name: Gabriel
full_name: Skantze, Gabriel
last_name: Skantze
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
citation:
ama: 'Wang Y, Xu Y, Skantze G, Buschmeier H. How much does nonverbal communication
conform to entropy rate constancy?: A case study on listener gaze in interaction.
In: Findings of the Association for Computational Linguistics ACL 2024.
; 2024:3533–3545.'
apa: 'Wang, Y., Xu, Y., Skantze, G., & Buschmeier, H. (2024). How much does
nonverbal communication conform to entropy rate constancy?: A case study on listener
gaze in interaction. Findings of the Association for Computational Linguistics
ACL 2024, 3533–3545.'
bibtex: '@inproceedings{Wang_Xu_Skantze_Buschmeier_2024, place={Bangkok, Thailand},
title={How much does nonverbal communication conform to entropy rate constancy?:
A case study on listener gaze in interaction}, booktitle={Findings of the Association
for Computational Linguistics ACL 2024}, author={Wang, Yu and Xu, Yang and Skantze,
Gabriel and Buschmeier, Hendrik}, year={2024}, pages={3533–3545} }'
chicago: 'Wang, Yu, Yang Xu, Gabriel Skantze, and Hendrik Buschmeier. “How Much
Does Nonverbal Communication Conform to Entropy Rate Constancy?: A Case Study
on Listener Gaze in Interaction.” In Findings of the Association for Computational
Linguistics ACL 2024, 3533–3545. Bangkok, Thailand, 2024.'
ieee: 'Y. Wang, Y. Xu, G. Skantze, and H. Buschmeier, “How much does nonverbal communication
conform to entropy rate constancy?: A case study on listener gaze in interaction,”
in Findings of the Association for Computational Linguistics ACL 2024,
Bangkok, Thailand, 2024, pp. 3533–3545.'
mla: 'Wang, Yu, et al. “How Much Does Nonverbal Communication Conform to Entropy
Rate Constancy?: A Case Study on Listener Gaze in Interaction.” Findings of
the Association for Computational Linguistics ACL 2024, 2024, pp. 3533–3545.'
short: 'Y. Wang, Y. Xu, G. Skantze, H. Buschmeier, in: Findings of the Association
for Computational Linguistics ACL 2024, Bangkok, Thailand, 2024, pp. 3533–3545.'
conference:
location: Bangkok, Thailand
name: 62nd Annual Meeting of the Association for Computational Linguistics
date_created: 2024-08-30T07:42:28Z
date_updated: 2025-09-12T06:25:05Z
department:
- _id: '660'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2024.findings-acl.210/
oa: '1'
page: 3533–3545
place: Bangkok, Thailand
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Findings of the Association for Computational Linguistics ACL 2024
quality_controlled: '1'
status: public
title: 'How much does nonverbal communication conform to entropy rate constancy?:
A case study on listener gaze in interaction'
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '56314'
author:
- first_name: Alina Naomi
full_name: Riechmann, Alina Naomi
last_name: Riechmann
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
citation:
ama: 'Riechmann AN, Buschmeier H. Automatic reconstruction of dialogue participants’
coordinating gaze behavior from multiple camera perspectives. In: Book of Abstracts
of the 2nd International Multimodal Communication Symposium. ; 2024:38–39.'
apa: Riechmann, A. N., & Buschmeier, H. (2024). Automatic reconstruction of
dialogue participants’ coordinating gaze behavior from multiple camera perspectives.
Book of Abstracts of the 2nd International Multimodal Communication Symposium,
38–39.
bibtex: '@inproceedings{Riechmann_Buschmeier_2024, place={Frankfurt am Main, Germany},
title={Automatic reconstruction of dialogue participants’ coordinating gaze behavior
from multiple camera perspectives}, booktitle={Book of Abstracts of the 2nd International
Multimodal Communication Symposium}, author={Riechmann, Alina Naomi and Buschmeier,
Hendrik}, year={2024}, pages={38–39} }'
chicago: Riechmann, Alina Naomi, and Hendrik Buschmeier. “Automatic Reconstruction
of Dialogue Participants’ Coordinating Gaze Behavior from Multiple Camera Perspectives.”
In Book of Abstracts of the 2nd International Multimodal Communication Symposium,
38–39. Frankfurt am Main, Germany, 2024.
ieee: A. N. Riechmann and H. Buschmeier, “Automatic reconstruction of dialogue participants’
coordinating gaze behavior from multiple camera perspectives,” in Book of Abstracts
of the 2nd International Multimodal Communication Symposium, Frankfurt am
Main, Germany, 2024, pp. 38–39.
mla: Riechmann, Alina Naomi, and Hendrik Buschmeier. “Automatic Reconstruction of
Dialogue Participants’ Coordinating Gaze Behavior from Multiple Camera Perspectives.”
Book of Abstracts of the 2nd International Multimodal Communication Symposium,
2024, pp. 38–39.
short: 'A.N. Riechmann, H. Buschmeier, in: Book of Abstracts of the 2nd International
Multimodal Communication Symposium, Frankfurt am Main, Germany, 2024, pp. 38–39.'
conference:
end_date: 2024-09-27
location: Frankfurt am Main, Germany
name: 2nd International Multimodal Communication Symposium
start_date: 2024-09-25
date_created: 2024-10-03T16:08:04Z
date_updated: 2025-09-12T06:30:39Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
page: 38–39
place: Frankfurt am Main, Germany
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Book of Abstracts of the 2nd International Multimodal Communication Symposium
publication_status: published
quality_controlled: '1'
related_material:
link:
- relation: poster
url: https://doi.org/10.6084/m9.figshare.27080500
status: public
title: Automatic reconstruction of dialogue participants’ coordinating gaze behavior
from multiple camera perspectives
type: conference_abstract
user_id: '76456'
year: '2024'
...
---
_id: '58722'
abstract:
- lang: eng
text: Dialects introduce syntactic and lexical variations in language that occur
in regional or social groups. Most NLP methods are not sensitive to such variations.
This may lead to unfair behavior of the methods, conveying negative bias towards
dialect speakers. While previous work has studied dialect-related fairness for
aspects like hate speech, other aspects of biased language, such as lewdness,
remain fully unexplored. To fill this gap, we investigate performance disparities
between dialects in the detection of five aspects of biased language and how to
mitigate them. To alleviate bias, we present a multitask learning approach that
models dialect language as an auxiliary task to incorporate syntactic and lexical
variations. In our experiments with African-American English dialect, we provide
empirical evidence that complementing common learning approaches with dialect
modeling improves their fairness. Furthermore, the results suggest that multitask
learning achieves state-of-the-art performance and helps to detect properties
of biased language more reliably.
author:
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Sai Nikhil
full_name: Menon, Sai Nikhil
last_name: Menon
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Spliethöver M, Menon SN, Wachsmuth H. Disentangling Dialect from Social Bias
via Multitask Learning to Improve Fairness. In: Ku L-W, Martins A, Srikumar V,
eds. Findings of the Association for Computational Linguistics: ACL 2024.
Association for Computational Linguistics; 2024:9294–9313. doi:10.18653/v1/2024.findings-acl.553'
apa: 'Spliethöver, M., Menon, S. N., & Wachsmuth, H. (2024). Disentangling Dialect
from Social Bias via Multitask Learning to Improve Fairness. In L.-W. Ku, A. Martins,
& V. Srikumar (Eds.), Findings of the Association for Computational Linguistics:
ACL 2024 (pp. 9294–9313). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.553'
bibtex: '@inproceedings{Spliethöver_Menon_Wachsmuth_2024, place={Bangkok, Thailand},
title={Disentangling Dialect from Social Bias via Multitask Learning to Improve
Fairness}, DOI={10.18653/v1/2024.findings-acl.553},
booktitle={Findings of the Association for Computational Linguistics: ACL 2024},
publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian
and Menon, Sai Nikhil and Wachsmuth, Henning}, editor={Ku, Lun-Wei and Martins,
Andre and Srikumar, Vivek}, year={2024}, pages={9294–9313} }'
chicago: 'Spliethöver, Maximilian, Sai Nikhil Menon, and Henning Wachsmuth. “Disentangling
Dialect from Social Bias via Multitask Learning to Improve Fairness.” In Findings
of the Association for Computational Linguistics: ACL 2024, edited by Lun-Wei
Ku, Andre Martins, and Vivek Srikumar, 9294–9313. Bangkok, Thailand: Association
for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.findings-acl.553.'
ieee: 'M. Spliethöver, S. N. Menon, and H. Wachsmuth, “Disentangling Dialect from
Social Bias via Multitask Learning to Improve Fairness,” in Findings of the
Association for Computational Linguistics: ACL 2024, 2024, pp. 9294–9313,
doi: 10.18653/v1/2024.findings-acl.553.'
mla: 'Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via
Multitask Learning to Improve Fairness.” Findings of the Association for Computational
Linguistics: ACL 2024, edited by Lun-Wei Ku et al., Association for Computational
Linguistics, 2024, pp. 9294–9313, doi:10.18653/v1/2024.findings-acl.553.'
short: 'M. Spliethöver, S.N. Menon, H. Wachsmuth, in: L.-W. Ku, A. Martins, V. Srikumar
(Eds.), Findings of the Association for Computational Linguistics: ACL 2024, Association
for Computational Linguistics, Bangkok, Thailand, 2024, pp. 9294–9313.'
date_created: 2025-02-20T08:18:01Z
date_updated: 2025-09-12T09:52:59Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2024.findings-acl.553
editor:
- first_name: Lun-Wei
full_name: Ku, Lun-Wei
last_name: Ku
- first_name: Andre
full_name: Martins, Andre
last_name: Martins
- first_name: Vivek
full_name: Srikumar, Vivek
last_name: Srikumar
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2024.findings-acl.553/
oa: '1'
page: 9294–9313
place: Bangkok, Thailand
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: 'Findings of the Association for Computational Linguistics: ACL 2024'
publisher: Association for Computational Linguistics
related_material:
link:
- relation: software
url: https://github.com/webis-de/acl24-dialect-aware-bias-detection
status: public
title: Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
type: conference
user_id: '84035'
year: '2024'
...
---
_id: '61251'
abstract:
- lang: eng
text: We theoretically investigate strategies for the deterministic creation
of trains of time-bin entangled photons using an individual quantum emitter described
by a Λ-type electronic system. We explicitly demonstrate the theoretical generation
of linear cluster states with substantial numbers of entangled photonic qubits
in full microscopic numerical simulations. The underlying scheme is based on the
manipulation of ground state coherences through precise optical driving. One important
finding is that the most easily accessible quality metrics, the achievable rotation
fidelities, fall short in assessing the actual quantum correlations of the emitted
photons in the face of losses. To address this, we explicitly calculate stabilizer
generator expectation values as a superior gauge for the quantum properties of
the generated many-photon state. With widespread applicability in other emitter
and excitation–emission schemes also, our work lays the conceptual foundations
for an in-depth practical analysis of time-bin entanglement based on full numerical
simulations with predictive capabilities for realistic systems and setups, including
losses and imperfections. The specific results shown in the present work illustrate
that with controlled minimization of losses and realistic system parameters for
quantum-dot type systems, useful linear cluster states of significant lengths
can be generated in the calculations, discussing the possibility of scalability
for quantum information processing endeavors.
article_number: '036110'
author:
- first_name: David
full_name: Bauch, David
last_name: Bauch
- first_name: Nikolas
full_name: Köcher, Nikolas
id: '79191'
last_name: Köcher
- first_name: Nils
full_name: Heinisch, Nils
id: '90283'
last_name: Heinisch
orcid: 0009-0006-0984-2097
- first_name: Stefan
full_name: Schumacher, Stefan
id: '27271'
last_name: Schumacher
orcid: 0000-0003-4042-4951
citation:
ama: Bauch D, Köcher N, Heinisch N, Schumacher S. Time-bin entanglement in the deterministic
generation of linear photonic cluster states. APL Quantum. 2024;1(3). doi:10.1063/5.0214197
apa: Bauch, D., Köcher, N., Heinisch, N., & Schumacher, S. (2024). Time-bin
entanglement in the deterministic generation of linear photonic cluster states.
APL Quantum, 1(3), Article 036110. https://doi.org/10.1063/5.0214197
bibtex: '@article{Bauch_Köcher_Heinisch_Schumacher_2024, title={Time-bin entanglement
in the deterministic generation of linear photonic cluster states}, volume={1},
DOI={10.1063/5.0214197}, number={3036110},
journal={APL Quantum}, publisher={AIP Publishing}, author={Bauch, David and Köcher,
Nikolas and Heinisch, Nils and Schumacher, Stefan}, year={2024} }'
chicago: Bauch, David, Nikolas Köcher, Nils Heinisch, and Stefan Schumacher. “Time-Bin
Entanglement in the Deterministic Generation of Linear Photonic Cluster States.”
APL Quantum 1, no. 3 (2024). https://doi.org/10.1063/5.0214197.
ieee: 'D. Bauch, N. Köcher, N. Heinisch, and S. Schumacher, “Time-bin entanglement
in the deterministic generation of linear photonic cluster states,” APL Quantum,
vol. 1, no. 3, Art. no. 036110, 2024, doi: 10.1063/5.0214197.'
mla: Bauch, David, et al. “Time-Bin Entanglement in the Deterministic Generation
of Linear Photonic Cluster States.” APL Quantum, vol. 1, no. 3, 036110,
AIP Publishing, 2024, doi:10.1063/5.0214197.
short: D. Bauch, N. Köcher, N. Heinisch, S. Schumacher, APL Quantum 1 (2024).
date_created: 2025-09-12T11:08:59Z
date_updated: 2025-09-12T11:11:32Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '35'
- _id: '230'
- _id: '27'
- _id: '429'
- _id: '623'
doi: 10.1063/5.0214197
intvolume: ' 1'
issue: '3'
language:
- iso: eng
project:
- _id: '53'
name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
zu funktionellen Strukturen'
- _id: '56'
name: TRR 142 - Project Area C
- _id: '173'
name: 'TRR 142; TP C09: Ideale Erzeugung von Photonenpaaren für Verschränkungsaustausch
bei Telekom Wellenlängen'
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '266'
name: 'PhoQC: Photonisches Quantencomputing'
publication: APL Quantum
publication_identifier:
issn:
- 2835-0103
publication_status: published
publisher: AIP Publishing
status: public
title: Time-bin entanglement in the deterministic generation of linear photonic cluster
states
type: journal_article
user_id: '16199'
volume: 1
year: '2024'
...
---
_id: '61253'
abstract:
- lang: eng
text: "In the SUPER scheme (Swing-UP of the quantum EmitteR population),
excitation of a quantum emitter is achieved with two off-resonant, red-detuned
laser pulses. This allows the generation of high-quality single photons without
the need of complex laser stray light suppression or careful spectral filtering.
In the present work, we extend this promising method to quantum emitters, specifically
semiconductor quantum dots, inside a resonant optical cavity. A significant advantage
of the SUPER scheme is identified in that it eliminates re-excitation of the quantum
emitter by suppressing photon emission during the excitation cycle. This, in turn,
leads to almost ideal single-photon purity, overcoming a major factor typically
limiting the quality of photons generated with quantum emitters in high-quality
cavities. We further find that for cavity-mediated biexciton emission of degenerate
photon pairs, the SUPER scheme leads to near-perfect biexciton initialization
with very high values of polarization entanglement of emitted photon pairs.\r\n
\ \r\n \r\n \r\n
\ \r\n Published
by the American Physical Society\r\n 2024\r\n
\ \r\n \r\n
\ "
article_number: L012017
author:
- first_name: Nils
full_name: Heinisch, Nils
id: '90283'
last_name: Heinisch
orcid: 0009-0006-0984-2097
- first_name: Nikolas
full_name: Köcher, Nikolas
id: '79191'
last_name: Köcher
- first_name: David
full_name: Bauch, David
last_name: Bauch
- first_name: Stefan
full_name: Schumacher, Stefan
id: '27271'
last_name: Schumacher
orcid: 0000-0003-4042-4951
citation:
ama: 'Heinisch N, Köcher N, Bauch D, Schumacher S. Swing-up dynamics in quantum
emitter cavity systems: Near ideal single photons and entangled photon pairs.
Physical Review Research. 2024;6(1). doi:10.1103/physrevresearch.6.l012017'
apa: 'Heinisch, N., Köcher, N., Bauch, D., & Schumacher, S. (2024). Swing-up
dynamics in quantum emitter cavity systems: Near ideal single photons and entangled
photon pairs. Physical Review Research, 6(1), Article L012017. https://doi.org/10.1103/physrevresearch.6.l012017'
bibtex: '@article{Heinisch_Köcher_Bauch_Schumacher_2024, title={Swing-up dynamics
in quantum emitter cavity systems: Near ideal single photons and entangled photon
pairs}, volume={6}, DOI={10.1103/physrevresearch.6.l012017},
number={1L012017}, journal={Physical Review Research}, publisher={American Physical
Society (APS)}, author={Heinisch, Nils and Köcher, Nikolas and Bauch, David and
Schumacher, Stefan}, year={2024} }'
chicago: 'Heinisch, Nils, Nikolas Köcher, David Bauch, and Stefan Schumacher. “Swing-up
Dynamics in Quantum Emitter Cavity Systems: Near Ideal Single Photons and Entangled
Photon Pairs.” Physical Review Research 6, no. 1 (2024). https://doi.org/10.1103/physrevresearch.6.l012017.'
ieee: 'N. Heinisch, N. Köcher, D. Bauch, and S. Schumacher, “Swing-up dynamics in
quantum emitter cavity systems: Near ideal single photons and entangled photon
pairs,” Physical Review Research, vol. 6, no. 1, Art. no. L012017, 2024,
doi: 10.1103/physrevresearch.6.l012017.'
mla: 'Heinisch, Nils, et al. “Swing-up Dynamics in Quantum Emitter Cavity Systems:
Near Ideal Single Photons and Entangled Photon Pairs.” Physical Review Research,
vol. 6, no. 1, L012017, American Physical Society (APS), 2024, doi:10.1103/physrevresearch.6.l012017.'
short: N. Heinisch, N. Köcher, D. Bauch, S. Schumacher, Physical Review Research
6 (2024).
date_created: 2025-09-12T11:16:31Z
date_updated: 2025-09-12T11:18:05Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '35'
- _id: '230'
- _id: '429'
- _id: '27'
doi: 10.1103/physrevresearch.6.l012017
intvolume: ' 6'
issue: '1'
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '53'
name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
zu funktionellen Strukturen'
- _id: '56'
name: TRR 142 - Project Area C
- _id: '173'
name: 'TRR 142; TP C09: Ideale Erzeugung von Photonenpaaren für Verschränkungsaustausch
bei Telekom Wellenlängen'
publication: Physical Review Research
publication_identifier:
issn:
- 2643-1564
publication_status: published
publisher: American Physical Society (APS)
status: public
title: 'Swing-up dynamics in quantum emitter cavity systems: Near ideal single photons
and entangled photon pairs'
type: journal_article
user_id: '16199'
volume: 6
year: '2024'
...
---
_id: '61255'
abstract:
- lang: eng
text: "Abstract\r\n Topological states
have been widely investigated in different types of systems and lattices. In the
present work, we report on topological edge states in double-wave (DW) chains,
which can be described by a generalized Aubry-André-Harper (AAH) model. For the
specific system of a driven-dissipative exciton polariton system we show that
in such potential chains, different types of edge states can form. For resonant
optical excitation, we further find that the optical nonlinearity leads to a multistability
of different edge states. This includes topologically protected edge states evolved
directly from individual linear eigenstates as well as additional edge states
that originate from nonlinearity-induced localization of bulk states. Extending
the system into two dimensions (2D) by stacking horizontal DW chains in the vertical
direction, we also create 2D multi-wave lattices. In such 2D lattices multiple
Su–Schrieffer–Heeger (SSH) chains appear along the vertical direction. The combination
of DW chains in the horizonal and SSH chains in the vertical direction then results
in the formation of higher-order topological insulator corner states. Multistable
corner states emerge in the nonlinear regime."
author:
- first_name: Tobias
full_name: Schneider, Tobias
last_name: Schneider
- first_name: Wenlong
full_name: Gao, Wenlong
id: '78853'
last_name: Gao
- first_name: Thomas
full_name: Zentgraf, Thomas
id: '30525'
last_name: Zentgraf
orcid: 0000-0002-8662-1101
- first_name: Stefan
full_name: Schumacher, Stefan
id: '27271'
last_name: Schumacher
orcid: 0000-0003-4042-4951
- first_name: Xuekai
full_name: Ma, Xuekai
id: '59416'
last_name: Ma
citation:
ama: Schneider T, Gao W, Zentgraf T, Schumacher S, Ma X. Topological edge and corner
states in coupled wave lattices in nonlinear polariton condensates. Nanophotonics.
2024;13(4):509-518. doi:10.1515/nanoph-2023-0556
apa: Schneider, T., Gao, W., Zentgraf, T., Schumacher, S., & Ma, X. (2024).
Topological edge and corner states in coupled wave lattices in nonlinear polariton
condensates. Nanophotonics, 13(4), 509–518. https://doi.org/10.1515/nanoph-2023-0556
bibtex: '@article{Schneider_Gao_Zentgraf_Schumacher_Ma_2024, title={Topological
edge and corner states in coupled wave lattices in nonlinear polariton condensates},
volume={13}, DOI={10.1515/nanoph-2023-0556},
number={4}, journal={Nanophotonics}, publisher={Walter de Gruyter GmbH}, author={Schneider,
Tobias and Gao, Wenlong and Zentgraf, Thomas and Schumacher, Stefan and Ma, Xuekai},
year={2024}, pages={509–518} }'
chicago: 'Schneider, Tobias, Wenlong Gao, Thomas Zentgraf, Stefan Schumacher, and
Xuekai Ma. “Topological Edge and Corner States in Coupled Wave Lattices in Nonlinear
Polariton Condensates.” Nanophotonics 13, no. 4 (2024): 509–18. https://doi.org/10.1515/nanoph-2023-0556.'
ieee: 'T. Schneider, W. Gao, T. Zentgraf, S. Schumacher, and X. Ma, “Topological
edge and corner states in coupled wave lattices in nonlinear polariton condensates,”
Nanophotonics, vol. 13, no. 4, pp. 509–518, 2024, doi: 10.1515/nanoph-2023-0556.'
mla: Schneider, Tobias, et al. “Topological Edge and Corner States in Coupled Wave
Lattices in Nonlinear Polariton Condensates.” Nanophotonics, vol. 13, no.
4, Walter de Gruyter GmbH, 2024, pp. 509–18, doi:10.1515/nanoph-2023-0556.
short: T. Schneider, W. Gao, T. Zentgraf, S. Schumacher, X. Ma, Nanophotonics 13
(2024) 509–518.
date_created: 2025-09-12T11:19:22Z
date_updated: 2025-09-12T11:22:41Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '705'
- _id: '35'
- _id: '230'
- _id: '429'
- _id: '27'
doi: 10.1515/nanoph-2023-0556
intvolume: ' 13'
issue: '4'
language:
- iso: eng
page: 509-518
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '53'
name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
zu funktionellen Strukturen'
- _id: '54'
name: TRR 142 - Project Area A
- _id: '55'
name: TRR 142 - Project Area B
- _id: '61'
name: 'TRR 142; TP A04: Nichtlineare Quantenprozesstomographie und Photonik mit
Polaritonen in Mikrokavitäten'
- _id: '170'
name: 'TRR 142; TP B09: Effiziente Erzeugung mit maßgeschneiderter optischer Phaselage
der zweiten Harmonischen mittels Quasi-gebundener Zustände in GaAs Metaoberflächen'
publication: Nanophotonics
publication_identifier:
issn:
- 2192-8614
publication_status: published
publisher: Walter de Gruyter GmbH
status: public
title: Topological edge and corner states in coupled wave lattices in nonlinear polariton
condensates
type: journal_article
user_id: '16199'
volume: 13
year: '2024'
...
---
_id: '61257'
abstract:
- lang: eng
text: "Exceptional points (EPs), with their intriguing spectral topology,
have attracted considerable attention in a broad range of physical systems, with
potential sensing applications driving much of the present research in this field.
Here, we investigate spectral topology and EPs in systems with significant nonlinearity,
exemplified by a nonequilibrium exciton-polariton condensate. With the possibility
to control loss and gain and nonlinearity by optical means, this system allows
for a comprehensive analysis of the interplay of nonlinearities (Kerr type and
saturable gain) and non-Hermiticity. Not only do we find that EPs can be intentionally
shifted in parameter space by the saturable gain, but we also observe intriguing
rotations and intersections of Riemann surfaces and find nonlinearity-enhanced
sensing capabilities. With this, our results illustrate the potential of tailoring
spectral topology and related phenomena in non-Hermitian systems by nonlinearity.\r\n
\ \r\n \r\n \r\n
\ \r\n Published
by the American Physical Society\r\n 2024\r\n
\ \r\n \r\n
\ "
article_number: '013148'
author:
- first_name: Jan
full_name: Wingenbach, Jan
id: '69187'
last_name: Wingenbach
- first_name: Stefan
full_name: Schumacher, Stefan
id: '27271'
last_name: Schumacher
orcid: 0000-0003-4042-4951
- first_name: Xuekai
full_name: Ma, Xuekai
id: '59416'
last_name: Ma
citation:
ama: Wingenbach J, Schumacher S, Ma X. Manipulating spectral topology and exceptional
points by nonlinearity in non-Hermitian polariton systems. Physical Review
Research. 2024;6(1). doi:10.1103/physrevresearch.6.013148
apa: Wingenbach, J., Schumacher, S., & Ma, X. (2024). Manipulating spectral
topology and exceptional points by nonlinearity in non-Hermitian polariton systems.
Physical Review Research, 6(1), Article 013148. https://doi.org/10.1103/physrevresearch.6.013148
bibtex: '@article{Wingenbach_Schumacher_Ma_2024, title={Manipulating spectral topology
and exceptional points by nonlinearity in non-Hermitian polariton systems}, volume={6},
DOI={10.1103/physrevresearch.6.013148},
number={1013148}, journal={Physical Review Research}, publisher={American Physical
Society (APS)}, author={Wingenbach, Jan and Schumacher, Stefan and Ma, Xuekai},
year={2024} }'
chicago: Wingenbach, Jan, Stefan Schumacher, and Xuekai Ma. “Manipulating Spectral
Topology and Exceptional Points by Nonlinearity in Non-Hermitian Polariton Systems.”
Physical Review Research 6, no. 1 (2024). https://doi.org/10.1103/physrevresearch.6.013148.
ieee: 'J. Wingenbach, S. Schumacher, and X. Ma, “Manipulating spectral topology
and exceptional points by nonlinearity in non-Hermitian polariton systems,” Physical
Review Research, vol. 6, no. 1, Art. no. 013148, 2024, doi: 10.1103/physrevresearch.6.013148.'
mla: Wingenbach, Jan, et al. “Manipulating Spectral Topology and Exceptional Points
by Nonlinearity in Non-Hermitian Polariton Systems.” Physical Review Research,
vol. 6, no. 1, 013148, American Physical Society (APS), 2024, doi:10.1103/physrevresearch.6.013148.
short: J. Wingenbach, S. Schumacher, X. Ma, Physical Review Research 6 (2024).
date_created: 2025-09-12T11:23:33Z
date_updated: 2025-09-12T11:24:59Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '705'
- _id: '35'
- _id: '230'
- _id: '27'
- _id: '429'
doi: 10.1103/physrevresearch.6.013148
intvolume: ' 6'
issue: '1'
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '53'
name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
zu funktionellen Strukturen'
- _id: '54'
name: TRR 142 - Project Area A
- _id: '61'
name: 'TRR 142; TP A04: Nichtlineare Quantenprozesstomographie und Photonik mit
Polaritonen in Mikrokavitäten'
publication: Physical Review Research
publication_identifier:
issn:
- 2643-1564
publication_status: published
publisher: American Physical Society (APS)
status: public
title: Manipulating spectral topology and exceptional points by nonlinearity in non-Hermitian
polariton systems
type: journal_article
user_id: '16199'
volume: 6
year: '2024'
...
---
_id: '61273'
abstract:
- lang: eng
text: "In human-machine explanation interactions, such as tutoring systems or customer
support chatbots, it is important for the machine explainer to infer the human
user's understanding. Nonverbal signals play an important role for expressing
mental states like understanding and confusion in these interactions. However,
an individual's expressions may vary depending on other factors. In cases where
these factors are unknown, machine learning methods that infer understanding from
nonverbal cues become unreliable. Stress for example has been shown to affect
human expression, but it is not clear from the current research how stress affects
the expression of understanding.\r\nTo address this gap, we design a paradigm
that induces understanding and confusion through game rule explanations. During
the explanations, self-perceived understanding and confusion are annotated by
the participants. A stress condition is also introduced to enable the investigation
of changes in the expression of social signals under stress.\r\nWe conducted a
study to validate the stress induction and participants reported a statistically
significant increase in stress during the stress condition compared to the neutral
control condition. \r\nAdditionally, feedback from participants shows that the
paradigm is effective in inducing understanding and confusion. \r\nThis paradigm
paves the way for further studies investigating social signals of understanding
to improve human-machine explanation interactions for varying contexts."
author:
- first_name: Jonas
full_name: Paletschek, Jonas
id: '98941'
last_name: Paletschek
citation:
ama: 'Paletschek J. A Paradigm to Investigate Social Signals of Understanding and
Their Susceptibility to Stress. In: 12th International Conference on Affective
Computing & Intelligent Interaction. IEEE; 2024. doi:10.1109/ACII63134.2024.00040'
apa: Paletschek, J. (2024). A Paradigm to Investigate Social Signals of Understanding
and Their Susceptibility to Stress. 12th International Conference on Affective
Computing & Intelligent Interaction. 12th International Conference on
Affective Computing & Intelligent Interaction, Glasgow. https://doi.org/10.1109/ACII63134.2024.00040
bibtex: '@inproceedings{Paletschek_2024, title={A Paradigm to Investigate Social
Signals of Understanding and Their Susceptibility to Stress}, DOI={10.1109/ACII63134.2024.00040},
booktitle={12th International Conference on Affective Computing & Intelligent
Interaction}, publisher={IEEE}, author={Paletschek, Jonas}, year={2024} }'
chicago: Paletschek, Jonas. “A Paradigm to Investigate Social Signals of Understanding
and Their Susceptibility to Stress.” In 12th International Conference on Affective
Computing & Intelligent Interaction. IEEE, 2024. https://doi.org/10.1109/ACII63134.2024.00040.
ieee: 'J. Paletschek, “A Paradigm to Investigate Social Signals of Understanding
and Their Susceptibility to Stress,” presented at the 12th International Conference
on Affective Computing & Intelligent Interaction, Glasgow, 2024, doi: 10.1109/ACII63134.2024.00040.'
mla: Paletschek, Jonas. “A Paradigm to Investigate Social Signals of Understanding
and Their Susceptibility to Stress.” 12th International Conference on Affective
Computing & Intelligent Interaction, IEEE, 2024, doi:10.1109/ACII63134.2024.00040.
short: 'J. Paletschek, in: 12th International Conference on Affective Computing
& Intelligent Interaction, IEEE, 2024.'
conference:
end_date: 2024-09-18
location: Glasgow
name: 12th International Conference on Affective Computing & Intelligent Interaction
start_date: 2024-09-15
date_created: 2025-09-15T11:24:56Z
date_updated: 2025-09-16T07:57:53Z
ddc:
- '150'
department:
- _id: '660'
doi: 10.1109/ACII63134.2024.00040
file:
- access_level: closed
content_type: application/pdf
creator: paletsch
date_created: 2025-09-15T11:18:01Z
date_updated: 2025-09-15T11:18:01Z
file_id: '61274'
file_name: ACII2024_Camera_Ready.pdf
file_size: 8807478
relation: main_file
success: 1
file_date_updated: 2025-09-15T11:18:01Z
has_accepted_license: '1'
keyword:
- Understanding
- Nonverbal Social Signals
- Stress Induction
- Explanation
- Machine Learning Bias
language:
- iso: eng
project:
- _id: '1200'
name: TRR 318 - Teilprojekt A6 - Inklusive Ko-Konstruktion sozialer Signale des
Verstehens
publication: 12th International Conference on Affective Computing & Intelligent Interaction
publication_status: published
publisher: IEEE
status: public
title: A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility
to Stress
type: conference
user_id: '98941'
year: '2024'
...
---
_id: '61290'
abstract:
- lang: eng
text: ffective computing often relies on audiovisual data to identify affective
states from non-verbal signals, such as facial expressions and vocal cues. Since
automatic affect recognition can be used in sensitive applications, such as healthcare
and education, it is crucial to understand how models arrive at their decisions.
Interpretability of machine learning models is the goal of the emerging research
area of Explainable AI (explainable AI (XAI)). This scoping review aims to survey
the field of audiovisual affective machine learning to identify how XAI is applied
in this domain. We first provide an overview of XAI concepts relevant to affective
computing. Next, following the recommended PRISMA guidelines, we perform a literature
search in the ACM, IEEE, Web of Science and PubMed databases. After systematically
reviewing 1190 articles, a final set of 65 papers is included in our analysis.
We quantitatively summarize the scope, methods and evaluation of the XAI techniques
used in the identified papers. Our findings show encouraging developments for
using XAI to explain models in audiovisual affective computing, yet only a limited
set of methods are used in the reviewed works. Following a critical discussion,
we provide recommendations for incorporating interpretability in future work for
affective machine learnin
article_type: review
author:
- first_name: David
full_name: Johnson, David
id: '97208'
last_name: Johnson
- first_name: Olya
full_name: Hakobyan, Olya
last_name: Hakobyan
- first_name: Jonas
full_name: Paletschek, Jonas
id: '98941'
last_name: Paletschek
- first_name: Hanna
full_name: Drimalla, Hanna
last_name: Drimalla
citation:
ama: 'Johnson D, Hakobyan O, Paletschek J, Drimalla H. Explainable AI for Audio
and Visual Affective Computing: A Scoping Review. IEEE Transactions on Affective
Computing. 2024;16(2):518-536. doi:10.1109/taffc.2024.3505269'
apa: 'Johnson, D., Hakobyan, O., Paletschek, J., & Drimalla, H. (2024). Explainable
AI for Audio and Visual Affective Computing: A Scoping Review. IEEE Transactions
on Affective Computing, 16(2), 518–536. https://doi.org/10.1109/taffc.2024.3505269'
bibtex: '@article{Johnson_Hakobyan_Paletschek_Drimalla_2024, title={Explainable
AI for Audio and Visual Affective Computing: A Scoping Review}, volume={16}, DOI={10.1109/taffc.2024.3505269},
number={2}, journal={IEEE Transactions on Affective Computing}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Johnson, David and Hakobyan,
Olya and Paletschek, Jonas and Drimalla, Hanna}, year={2024}, pages={518–536}
}'
chicago: 'Johnson, David, Olya Hakobyan, Jonas Paletschek, and Hanna Drimalla. “Explainable
AI for Audio and Visual Affective Computing: A Scoping Review.” IEEE Transactions
on Affective Computing 16, no. 2 (2024): 518–36. https://doi.org/10.1109/taffc.2024.3505269.'
ieee: 'D. Johnson, O. Hakobyan, J. Paletschek, and H. Drimalla, “Explainable AI
for Audio and Visual Affective Computing: A Scoping Review,” IEEE Transactions
on Affective Computing, vol. 16, no. 2, pp. 518–536, 2024, doi: 10.1109/taffc.2024.3505269.'
mla: 'Johnson, David, et al. “Explainable AI for Audio and Visual Affective Computing:
A Scoping Review.” IEEE Transactions on Affective Computing, vol. 16, no.
2, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 518–36,
doi:10.1109/taffc.2024.3505269.'
short: D. Johnson, O. Hakobyan, J. Paletschek, H. Drimalla, IEEE Transactions on
Affective Computing 16 (2024) 518–536.
date_created: 2025-09-16T07:24:07Z
date_updated: 2025-09-16T08:02:23Z
ddc:
- '000'
department:
- _id: '660'
doi: 10.1109/taffc.2024.3505269
file:
- access_level: closed
content_type: application/pdf
creator: johnson
date_created: 2025-09-16T07:34:27Z
date_updated: 2025-09-16T07:34:27Z
file_id: '61291'
file_name: Explainable_AI_for_Audio_and_Visual_Affective_Computing_A_Scoping_Review.pdf
file_size: 3252812
relation: main_file
success: 1
file_date_updated: 2025-09-16T07:34:27Z
has_accepted_license: '1'
intvolume: ' 16'
issue: '2'
language:
- iso: eng
page: 518-536
project:
- _id: '110'
name: TRR 318 - Project Area A
- _id: '1204'
name: TRR 318 - Teilprojekt IRG BI
- _id: '1200'
name: TRR 318 - Teilprojekt A6 - Inklusive Ko-Konstruktion sozialer Signale des
Verstehens
publication: IEEE Transactions on Affective Computing
publication_identifier:
issn:
- 1949-3045
- 2371-9850
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Explainable AI for Audio and Visual Affective Computing: A Scoping Review'
type: journal_article
user_id: '97208'
volume: 16
year: '2024'
...