---
_id: '51372'
abstract:
- lang: eng
text: Machine learning is frequently used in affective computing, but presents challenges
due the opacity of state-of-the-art machine learning methods. Because of the impact
affective machine learning systems may have on an individual's life, it is important
that models be made transparent to detect and mitigate biased decision making.
In this regard, affective machine learning could benefit from the recent advancements
in explainable artificial intelligence (XAI) research. We perform a structured
literature review to examine the use of interpretability in the context of affective
machine learning. We focus on studies using audio, visual, or audiovisual data
for model training and identified 29 research articles. Our findings show an emergence
of the use of interpretability methods in the last five years. However, their
use is currently limited regarding the range of methods used, the depth of evaluations,
and the consideration of use-cases. We outline the main gaps in the research and
provide recommendations for researchers that aim to implement interpretable methods
for affective machine learning.
author:
- first_name: 'David '
full_name: 'Johnson, David '
last_name: Johnson
- first_name: Olya
full_name: Hakobyan, Olya
last_name: Hakobyan
- first_name: Hanna
full_name: Drimalla, Hanna
last_name: Drimalla
citation:
ama: 'Johnson D, Hakobyan O, Drimalla H. Towards Interpretability in Audio and Visual
Affective Machine Learning: A Review. Published online 2023.'
apa: 'Johnson, D., Hakobyan, O., & Drimalla, H. (2023). Towards Interpretability
in Audio and Visual Affective Machine Learning: A Review.'
bibtex: '@article{Johnson_Hakobyan_Drimalla_2023, title={Towards Interpretability
in Audio and Visual Affective Machine Learning: A Review}, author={Johnson, David and
Hakobyan, Olya and Drimalla, Hanna}, year={2023} }'
chicago: 'Johnson, David , Olya Hakobyan, and Hanna Drimalla. “Towards Interpretability
in Audio and Visual Affective Machine Learning: A Review,” 2023.'
ieee: 'D. Johnson, O. Hakobyan, and H. Drimalla, “Towards Interpretability in Audio
and Visual Affective Machine Learning: A Review.” 2023.'
mla: 'Johnson, David, et al. Towards Interpretability in Audio and Visual Affective
Machine Learning: A Review. 2023.'
short: D. Johnson, O. Hakobyan, H. Drimalla, (2023).
date_created: 2024-02-18T10:52:36Z
date_updated: 2024-02-26T08:43:01Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '110'
name: 'TRR 318 - A: TRR 318 - Project Area A'
status: public
title: 'Towards Interpretability in Audio and Visual Affective Machine Learning: A
Review'
type: preprint
user_id: '54779'
year: '2023'
...
---
_id: '51371'
abstract:
- lang: eng
text: In this paper, we investigate the effect of distractions and hesitations
as a scaffolding strategy. Recent research points to the potential beneficial
effects of a speaker’s hesitations on the listeners’ comprehension of utterances,
although results from studies on this issue indicate that humans do not make strategic
use of them. The role of hesitations and their communicative function in human-human
interaction is a much-discussed topic in current research. To better understand
the underlying cognitive processes, we developed a human–robot interaction (HRI)
setup that allows the measurement of the electroencephalogram (EEG) signals of
a human participant while interacting with a robot. We thereby address the research
question of whether we find effects on single-trial EEG based on the distraction
and the corresponding robot’s hesitation scaffolding strategy. To carry out the
experiments, we leverage our LabLinking method, which enables interdisciplinary
joint research between remote labs. This study could not have been conducted without
LabLinking, as the two involved labs needed to combine their individual expertise
and equipment to achieve the goal together. The results of our study indicate
that the EEG correlates in the distracted condition are different from the baseline
condition without distractions. Furthermore, we could differentiate the EEG correlates
of distraction with and without a hesitation scaffolding strategy. This proof-of-concept
study shows that LabLinking makes it possible to conduct collaborative HRI studies
in remote laboratories and lays the first foundation for more in-depth research
into robotic scaffolding strategies.
article_number: '37'
author:
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Felix
full_name: Putze, Felix
last_name: Putze
- first_name: Gabriel
full_name: Ivucic, Gabriel
last_name: Ivucic
- first_name: Mara
full_name: Brandt, Mara
last_name: Brandt
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Rafael
full_name: Reisenhofer, Rafael
last_name: Reisenhofer
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Tanja
full_name: Schultz, Tanja
last_name: Schultz
citation:
ama: 'Richter B, Putze F, Ivucic G, et al. EEG Correlates of Distractions and Hesitations
in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies
and Interaction. 2023;7(4). doi:10.3390/mti7040037'
apa: 'Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer,
R., Wrede, B., & Schultz, T. (2023). EEG Correlates of Distractions and Hesitations
in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies
and Interaction, 7(4), Article 37. https://doi.org/10.3390/mti7040037'
bibtex: '@article{Richter_Putze_Ivucic_Brandt_Schütze_Reisenhofer_Wrede_Schultz_2023,
title={EEG Correlates of Distractions and Hesitations in Human–Robot Interaction:
A LabLinking Pilot Study}, volume={7}, DOI={10.3390/mti7040037},
number={437}, journal={Multimodal Technologies and Interaction}, publisher={MDPI
AG}, author={Richter, Birte and Putze, Felix and Ivucic, Gabriel and Brandt, Mara
and Schütze, Christian and Reisenhofer, Rafael and Wrede, Britta and Schultz,
Tanja}, year={2023} }'
chicago: 'Richter, Birte, Felix Putze, Gabriel Ivucic, Mara Brandt, Christian Schütze,
Rafael Reisenhofer, Britta Wrede, and Tanja Schultz. “EEG Correlates of Distractions
and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal
Technologies and Interaction 7, no. 4 (2023). https://doi.org/10.3390/mti7040037.'
ieee: 'B. Richter et al., “EEG Correlates of Distractions and Hesitations
in Human–Robot Interaction: A LabLinking Pilot Study,” Multimodal Technologies
and Interaction, vol. 7, no. 4, Art. no. 37, 2023, doi: 10.3390/mti7040037.'
mla: 'Richter, Birte, et al. “EEG Correlates of Distractions and Hesitations in
Human–Robot Interaction: A LabLinking Pilot Study.” Multimodal Technologies
and Interaction, vol. 7, no. 4, 37, MDPI AG, 2023, doi:10.3390/mti7040037.'
short: B. Richter, F. Putze, G. Ivucic, M. Brandt, C. Schütze, R. Reisenhofer, B.
Wrede, T. Schultz, Multimodal Technologies and Interaction 7 (2023).
date_created: 2024-02-18T10:45:53Z
date_updated: 2024-02-26T08:44:32Z
department:
- _id: '660'
doi: 10.3390/mti7040037
intvolume: ' 7'
issue: '4'
keyword:
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
- Neuroscience (miscellaneous)
language:
- iso: eng
project:
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: Multimodal Technologies and Interaction
publication_identifier:
issn:
- 2414-4088
publication_status: published
publisher: MDPI AG
status: public
title: 'EEG Correlates of Distractions and Hesitations in Human–Robot Interaction:
A LabLinking Pilot Study'
type: journal_article
user_id: '54779'
volume: 7
year: '2023'
...
---
_id: '51370'
author:
- first_name: Leonie
full_name: Dyck, Leonie
last_name: Dyck
- first_name: Helen
full_name: Beierling, Helen
last_name: Beierling
- first_name: Robin
full_name: Helmert, Robin
last_name: Helmert
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
last_name: Vollmer
citation:
ama: 'Dyck L, Beierling H, Helmert R, Vollmer A-L. Technical Transparency for Robot
Navigation Through AR Visualizations. In: Companion of the 2023 ACM/IEEE International
Conference on Human-Robot Interaction. ACM; 2023:720-724. doi:10.1145/3568294.3580181'
apa: Dyck, L., Beierling, H., Helmert, R., & Vollmer, A.-L. (2023). Technical
Transparency for Robot Navigation Through AR Visualizations. Companion of the
2023 ACM/IEEE International Conference on Human-Robot Interaction, 720–724.
https://doi.org/10.1145/3568294.3580181
bibtex: '@inproceedings{Dyck_Beierling_Helmert_Vollmer_2023, title={Technical Transparency
for Robot Navigation Through AR Visualizations}, DOI={10.1145/3568294.3580181},
booktitle={Companion of the 2023 ACM/IEEE International Conference on Human-Robot
Interaction}, publisher={ACM}, author={Dyck, Leonie and Beierling, Helen and Helmert,
Robin and Vollmer, Anna-Lisa}, year={2023}, pages={720–724} }'
chicago: Dyck, Leonie, Helen Beierling, Robin Helmert, and Anna-Lisa Vollmer. “Technical
Transparency for Robot Navigation Through AR Visualizations.” In Companion
of the 2023 ACM/IEEE International Conference on Human-Robot Interaction,
720–24. ACM, 2023. https://doi.org/10.1145/3568294.3580181.
ieee: 'L. Dyck, H. Beierling, R. Helmert, and A.-L. Vollmer, “Technical Transparency
for Robot Navigation Through AR Visualizations,” in Companion of the 2023 ACM/IEEE
International Conference on Human-Robot Interaction, Stockholm , 2023, pp.
720–724, doi: 10.1145/3568294.3580181.'
mla: Dyck, Leonie, et al. “Technical Transparency for Robot Navigation Through AR
Visualizations.” Companion of the 2023 ACM/IEEE International Conference on
Human-Robot Interaction, ACM, 2023, pp. 720–24, doi:10.1145/3568294.3580181.
short: 'L. Dyck, H. Beierling, R. Helmert, A.-L. Vollmer, in: Companion of the 2023
ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2023, pp. 720–724.'
conference:
end_date: 2023-3-16
location: 'Stockholm '
name: 'HRI ''23: ACM/IEEE International Conference on Human-Robot Interaction'
start_date: 2023-3-13
date_created: 2024-02-18T10:30:36Z
date_updated: 2024-02-26T08:45:06Z
department:
- _id: '660'
doi: 10.1145/3568294.3580181
language:
- iso: eng
page: 720-724
project:
- _id: '123'
name: 'TRR 318 - B5: TRR 318 - Subproject B5'
publication: Companion of the 2023 ACM/IEEE International Conference on Human-Robot
Interaction
publication_status: published
publisher: ACM
status: public
title: Technical Transparency for Robot Navigation Through AR Visualizations
type: conference
user_id: '54779'
year: '2023'
...
---
_id: '51368'
abstract:
- lang: eng
text: Dealing with opaque algorithms, the frequent overlap between transparency
and explainability produces seemingly unsolvable dilemmas, as the much-discussed
trade-off between model performance and model transparency. Referring to Niklas
Luhmann's notion of communication, the paper argues that explainability does not
necessarily require transparency and proposes an alternative approach. Explanations
as communicative processes do not imply any disclosure of thoughts or neural processes,
but only reformulations that provide the partners with additional elements and
enable them to understand (from their perspective) what has been done and why.
Recent computational approaches aiming at post-hoc explainability reproduce what
happens in communication, producing explanations of the working of algorithms
that can be different from the processes of the algorithms.
author:
- first_name: 'Elena '
full_name: 'Esposito, Elena '
last_name: Esposito
citation:
ama: Esposito E. Does Explainability Require Transparency? Sociologica. 2023;16(3):17-27.
doi:10.6092/ISSN.1971-8853/15804
apa: Esposito, E. (2023). Does Explainability Require Transparency? Sociologica,
16(3), 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804
bibtex: '@article{Esposito_2023, title={Does Explainability Require Transparency?},
volume={16}, DOI={10.6092/ISSN.1971-8853/15804},
number={3}, journal={Sociologica}, author={Esposito, Elena }, year={2023}, pages={17–27}
}'
chicago: 'Esposito, Elena . “Does Explainability Require Transparency?” Sociologica
16, no. 3 (2023): 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804.'
ieee: 'E. Esposito, “Does Explainability Require Transparency?,” Sociologica,
vol. 16, no. 3, pp. 17–27, 2023, doi: 10.6092/ISSN.1971-8853/15804.'
mla: Esposito, Elena. “Does Explainability Require Transparency?” Sociologica,
vol. 16, no. 3, 2023, pp. 17–27, doi:10.6092/ISSN.1971-8853/15804.
short: E. Esposito, Sociologica 16 (2023) 17–27.
date_created: 2024-02-18T10:16:43Z
date_updated: 2024-02-26T08:46:26Z
department:
- _id: '660'
doi: 10.6092/ISSN.1971-8853/15804
intvolume: ' 16'
issue: '3'
keyword:
- Explainable AI
- Transparency
- Explanation
- Communication
- Sociological systems theory
language:
- iso: eng
page: 17-27
project:
- _id: '121'
grant_number: '438445824'
name: 'TRR 318 - B01: TRR 318 - Ein dialogbasierter Ansatz zur Erklärung von Modellen
des maschinellen Lernens (Teilprojekt B01)'
publication: Sociologica
status: public
title: Does Explainability Require Transparency?
type: journal_article
user_id: '54779'
volume: 16
year: '2023'
...
---
_id: '51369'
abstract:
- lang: eng
text: This short introduction presents the symposium ‘Explaining Machines’. It locates
the debate about Explainable AI in the history of the reflection about AI and
outlines the issues discussed in the contributions.
author:
- first_name: Elena
full_name: Esposito, Elena
last_name: Esposito
citation:
ama: 'Esposito E. Explaining Machines: Social Management of Incomprehensible Algorithms.
Introduction. Sociologica. 2023;16(3):1-4. doi:10.6092/ISSN.1971-8853/16265'
apa: 'Esposito, E. (2023). Explaining Machines: Social Management of Incomprehensible
Algorithms. Introduction. Sociologica, 16(3), 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265'
bibtex: '@article{Esposito_2023, title={Explaining Machines: Social Management of
Incomprehensible Algorithms. Introduction}, volume={16}, DOI={10.6092/ISSN.1971-8853/16265},
number={3}, journal={Sociologica}, author={Esposito, Elena}, year={2023}, pages={1–4}
}'
chicago: 'Esposito, Elena. “Explaining Machines: Social Management of Incomprehensible
Algorithms. Introduction.” Sociologica 16, no. 3 (2023): 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265.'
ieee: 'E. Esposito, “Explaining Machines: Social Management of Incomprehensible
Algorithms. Introduction,” Sociologica, vol. 16, no. 3, pp. 1–4, 2023,
doi: 10.6092/ISSN.1971-8853/16265.'
mla: 'Esposito, Elena. “Explaining Machines: Social Management of Incomprehensible
Algorithms. Introduction.” Sociologica, vol. 16, no. 3, 2023, pp. 1–4,
doi:10.6092/ISSN.1971-8853/16265.'
short: E. Esposito, Sociologica 16 (2023) 1–4.
date_created: 2024-02-18T10:23:23Z
date_updated: 2024-02-26T08:45:56Z
department:
- _id: '660'
doi: 10.6092/ISSN.1971-8853/16265
intvolume: ' 16'
issue: '3'
keyword:
- Explainable AI
- Inexplicability
- Transparency
- Explanation
- Opacity
- Contestability
language:
- iso: eng
page: 1-4
project:
- _id: '121'
grant_number: '438445824'
name: 'TRR 318 - B01: TRR 318 - Ein dialogbasierter Ansatz zur Erklärung von Modellen
des maschinellen Lernens (Teilprojekt B01)'
publication: Sociologica
status: public
title: 'Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction'
type: journal_article
user_id: '54779'
volume: 16
year: '2023'
...
---
_id: '44849'
author:
- first_name: Frederik
full_name: Rautenberg, Frederik
id: '72602'
last_name: Rautenberg
- first_name: Michael
full_name: Kuhlmann, Michael
id: '49871'
last_name: Kuhlmann
- first_name: Janek
full_name: Ebbers, Janek
id: '34851'
last_name: Ebbers
- first_name: Jana
full_name: Wiechmann, Jana
last_name: Wiechmann
- first_name: Fritz
full_name: Seebauer, Fritz
last_name: Seebauer
- first_name: Petra
full_name: Wagner, Petra
last_name: Wagner
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Rautenberg F, Kuhlmann M, Ebbers J, et al. Speech Disentanglement for Analysis
and Modification of Acoustic and Perceptual Speaker Characteristics. In: Fortschritte
Der Akustik - DAGA 2023. ; 2023:1409-1412.'
apa: Rautenberg, F., Kuhlmann, M., Ebbers, J., Wiechmann, J., Seebauer, F., Wagner,
P., & Haeb-Umbach, R. (2023). Speech Disentanglement for Analysis and Modification
of Acoustic and Perceptual Speaker Characteristics. Fortschritte Der Akustik
- DAGA 2023, 1409–1412.
bibtex: '@inproceedings{Rautenberg_Kuhlmann_Ebbers_Wiechmann_Seebauer_Wagner_Haeb-Umbach_2023,
title={Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual
Speaker Characteristics}, booktitle={Fortschritte der Akustik - DAGA 2023}, author={Rautenberg,
Frederik and Kuhlmann, Michael and Ebbers, Janek and Wiechmann, Jana and Seebauer,
Fritz and Wagner, Petra and Haeb-Umbach, Reinhold}, year={2023}, pages={1409–1412}
}'
chicago: Rautenberg, Frederik, Michael Kuhlmann, Janek Ebbers, Jana Wiechmann, Fritz
Seebauer, Petra Wagner, and Reinhold Haeb-Umbach. “Speech Disentanglement for
Analysis and Modification of Acoustic and Perceptual Speaker Characteristics.”
In Fortschritte Der Akustik - DAGA 2023, 1409–12, 2023.
ieee: F. Rautenberg et al., “Speech Disentanglement for Analysis and Modification
of Acoustic and Perceptual Speaker Characteristics,” in Fortschritte der Akustik
- DAGA 2023, Hamburg, 2023, pp. 1409–1412.
mla: Rautenberg, Frederik, et al. “Speech Disentanglement for Analysis and Modification
of Acoustic and Perceptual Speaker Characteristics.” Fortschritte Der Akustik
- DAGA 2023, 2023, pp. 1409–12.
short: 'F. Rautenberg, M. Kuhlmann, J. Ebbers, J. Wiechmann, F. Seebauer, P. Wagner,
R. Haeb-Umbach, in: Fortschritte Der Akustik - DAGA 2023, 2023, pp. 1409–1412.'
conference:
end_date: 2023-03-09
location: Hamburg
name: DAGA 2023 - 49. Jahrestagung für Akustik
start_date: 2023-03-06
date_created: 2023-05-15T08:48:54Z
date_updated: 2024-02-29T17:05:16Z
ddc:
- '000'
department:
- _id: '54'
- _id: '660'
file:
- access_level: open_access
content_type: application/pdf
creator: frra
date_created: 2024-02-29T16:15:12Z
date_updated: 2024-02-29T16:15:12Z
file_id: '52221'
file_name: Daga_2023_Rautenberg_Paper.pdf
file_size: 289493
relation: main_file
file_date_updated: 2024-02-29T16:15:12Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://pub.dega-akustik.de/DAGA_2023/data/articles/000105.pdf
oa: '1'
page: 1409-1412
project:
- _id: '129'
grant_number: '438445824'
name: 'TRR 318 - C06: TRR 318 - Technisch unterstütztes Erklären von Stimmcharakteristika
(Teilprojekt C06)'
publication: Fortschritte der Akustik - DAGA 2023
publication_status: published
status: public
title: Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual
Speaker Characteristics
type: conference
user_id: '72602'
year: '2023'
...
---
_id: '54909'
author:
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Johannes
full_name: Fürnkranz, Johannes
last_name: Fürnkranz
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable
Machine Learning. In: Discovery Science. Springer Nature Switzerland; 2023.
doi:10.1007/978-3-031-45275-8_13'
apa: Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic
Scoring Lists for Interpretable Machine Learning. In Discovery Science.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13
bibtex: '@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic
Scoring Lists for Interpretable Machine Learning}, DOI={10.1007/978-3-031-45275-8_13},
booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle,
Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }'
chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic
Scoring Lists for Interpretable Machine Learning.” In Discovery Science.
Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13.'
ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
Lists for Interpretable Machine Learning,” in Discovery Science, Cham:
Springer Nature Switzerland, 2023.'
mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
Machine Learning.” Discovery Science, Springer Nature Switzerland, 2023,
doi:10.1007/978-3-031-45275-8_13.
short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer
Nature Switzerland, Cham, 2023.'
date_created: 2024-06-26T14:24:29Z
date_updated: 2024-06-26T14:25:50Z
department:
- _id: '660'
doi: 10.1007/978-3-031-45275-8_13
language:
- iso: eng
place: Cham
project:
- _id: '125'
name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Discovery Science
publication_identifier:
isbn:
- '9783031452741'
- '9783031452758'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Probabilistic Scoring Lists for Interpretable Machine Learning
type: book_chapter
user_id: '72497'
year: '2023'
...
---
_id: '55155'
author:
- first_name: Amelie
full_name: Robrecht, Amelie
id: '91982'
last_name: Robrecht
orcid: 0000-0001-5622-8248
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
citation:
ama: 'Robrecht A, Kopp S. SNAPE: A Sequential Non-Stationary Decision Process Model
for Adaptive Explanation Generation. In: Proceedings of the 15th International
Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and
Technology Publications; 2023. doi:10.5220/0011671300003393'
apa: 'Robrecht, A., & Kopp, S. (2023). SNAPE: A Sequential Non-Stationary Decision
Process Model for Adaptive Explanation Generation. Proceedings of the 15th
International Conference on Agents and Artificial Intelligence. https://doi.org/10.5220/0011671300003393'
bibtex: '@inproceedings{Robrecht_Kopp_2023, title={SNAPE: A Sequential Non-Stationary
Decision Process Model for Adaptive Explanation Generation}, DOI={10.5220/0011671300003393},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial
Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Robrecht,
Amelie and Kopp, Stefan}, year={2023} }'
chicago: 'Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary
Decision Process Model for Adaptive Explanation Generation.” In Proceedings
of the 15th International Conference on Agents and Artificial Intelligence.
SCITEPRESS - Science and Technology Publications, 2023. https://doi.org/10.5220/0011671300003393.'
ieee: 'A. Robrecht and S. Kopp, “SNAPE: A Sequential Non-Stationary Decision Process
Model for Adaptive Explanation Generation,” 2023, doi: 10.5220/0011671300003393.'
mla: 'Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary Decision
Process Model for Adaptive Explanation Generation.” Proceedings of the 15th
International Conference on Agents and Artificial Intelligence, SCITEPRESS
- Science and Technology Publications, 2023, doi:10.5220/0011671300003393.'
short: 'A. Robrecht, S. Kopp, in: Proceedings of the 15th International Conference
on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications,
2023.'
date_created: 2024-07-10T11:05:25Z
date_updated: 2024-07-16T09:38:25Z
department:
- _id: '660'
doi: 10.5220/0011671300003393
language:
- iso: eng
project:
- _id: '111'
grant_number: '438445824'
name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)'
publication: Proceedings of the 15th International Conference on Agents and Artificial
Intelligence
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
status: public
title: 'SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation
Generation'
type: conference
user_id: '91982'
year: '2023'
...
---
_id: '55152'
author:
- first_name: Amelie
full_name: Robrecht, Amelie
id: '91982'
last_name: Robrecht
orcid: 0000-0001-5622-8248
- first_name: Markus
full_name: Rothgänger, Markus
last_name: Rothgänger
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
citation:
ama: 'Robrecht A, Rothgänger M, Kopp S. A Study on the Benefits and Drawbacks of
Adaptivity in AI-generated Explanations. In: Proceedings of the 23rd ACM International
Conference on Intelligent Virtual Agents. ACM; 2023. doi:10.1145/3570945.3607339'
apa: Robrecht, A., Rothgänger, M., & Kopp, S. (2023). A Study on the Benefits
and Drawbacks of Adaptivity in AI-generated Explanations. Proceedings of the
23rd ACM International Conference on Intelligent Virtual Agents. https://doi.org/10.1145/3570945.3607339
bibtex: '@inproceedings{Robrecht_Rothgänger_Kopp_2023, title={A Study on the Benefits
and Drawbacks of Adaptivity in AI-generated Explanations}, DOI={10.1145/3570945.3607339},
booktitle={Proceedings of the 23rd ACM International Conference on Intelligent
Virtual Agents}, publisher={ACM}, author={Robrecht, Amelie and Rothgänger, Markus
and Kopp, Stefan}, year={2023} }'
chicago: Robrecht, Amelie, Markus Rothgänger, and Stefan Kopp. “A Study on the Benefits
and Drawbacks of Adaptivity in AI-Generated Explanations.” In Proceedings of
the 23rd ACM International Conference on Intelligent Virtual Agents. ACM,
2023. https://doi.org/10.1145/3570945.3607339.
ieee: 'A. Robrecht, M. Rothgänger, and S. Kopp, “A Study on the Benefits and Drawbacks
of Adaptivity in AI-generated Explanations,” 2023, doi: 10.1145/3570945.3607339.'
mla: Robrecht, Amelie, et al. “A Study on the Benefits and Drawbacks of Adaptivity
in AI-Generated Explanations.” Proceedings of the 23rd ACM International Conference
on Intelligent Virtual Agents, ACM, 2023, doi:10.1145/3570945.3607339.
short: 'A. Robrecht, M. Rothgänger, S. Kopp, in: Proceedings of the 23rd ACM International
Conference on Intelligent Virtual Agents, ACM, 2023.'
date_created: 2024-07-10T11:03:09Z
date_updated: 2024-07-16T09:38:13Z
department:
- _id: '660'
doi: 10.1145/3570945.3607339
language:
- iso: eng
project:
- _id: '111'
grant_number: '438445824'
name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)'
publication: Proceedings of the 23rd ACM International Conference on Intelligent Virtual
Agents
publication_status: published
publisher: ACM
status: public
title: A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations
type: conference
user_id: '91982'
year: '2023'
...
---
_id: '55406'
abstract:
- lang: eng
text: Metaphorical language, such as {“}spending time together{”}, projects meaning
from a source domain (here, $money$) to a target domain ($time$). Thereby, it
highlights certain aspects of the target domain, such as the $effort$ behind the
time investment. Highlighting aspects with metaphors (while hiding others) bridges
the two domains and is the core of metaphorical meaning construction. For metaphor
interpretation, linguistic theories stress that identifying the highlighted aspects
is important for a better understanding of metaphors. However, metaphor research
in NLP has not yet dealt with the phenomenon of highlighting. In this paper, we
introduce the task of identifying the main aspect highlighted in a metaphorical
sentence. Given the inherent interaction of source domains and highlighted aspects,
we propose two multitask approaches - a joint learning approach and a continual
learning approach - based on a finetuned contrastive learning model to jointly
predict highlighted aspects and source domains. We further investigate whether
(predicted) information about a source domain leads to better performance in predicting
the highlighted aspects, and vice versa. Our experiments on an existing corpus
suggest that, with the corresponding information, the performance to predict the
other improves in terms of model accuracy in predicting highlighted aspects and
source domains notably compared to the single-task baselines.
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Sengupta M, Alshomary M, Scharlau I, Wachsmuth H. Modeling Highlighting of
Metaphors in Multitask Contrastive Learning Paradigms. In: Bouamor H, Pino J,
Bali K, eds. Findings of the Association for Computational Linguistics: EMNLP
2023. Association for Computational Linguistics; 2023:4636–4659. doi:10.18653/v1/2023.findings-emnlp.308'
apa: 'Sengupta, M., Alshomary, M., Scharlau, I., & Wachsmuth, H. (2023). Modeling
Highlighting of Metaphors in Multitask Contrastive Learning Paradigms. In H. Bouamor,
J. Pino, & K. Bali (Eds.), Findings of the Association for Computational
Linguistics: EMNLP 2023 (pp. 4636–4659). Association for Computational Linguistics.
https://doi.org/10.18653/v1/2023.findings-emnlp.308'
bibtex: '@inproceedings{Sengupta_Alshomary_Scharlau_Wachsmuth_2023, place={Singapore},
title={Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms},
DOI={10.18653/v1/2023.findings-emnlp.308},
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
publisher={Association for Computational Linguistics}, author={Sengupta, Meghdut
and Alshomary, Milad and Scharlau, Ingrid and Wachsmuth, Henning}, editor={Bouamor,
Houda and Pino, Juan and Bali, Kalika}, year={2023}, pages={4636–4659} }'
chicago: 'Sengupta, Meghdut, Milad Alshomary, Ingrid Scharlau, and Henning Wachsmuth.
“Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms.”
In Findings of the Association for Computational Linguistics: EMNLP 2023,
edited by Houda Bouamor, Juan Pino, and Kalika Bali, 4636–4659. Singapore: Association
for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-emnlp.308.'
ieee: 'M. Sengupta, M. Alshomary, I. Scharlau, and H. Wachsmuth, “Modeling Highlighting
of Metaphors in Multitask Contrastive Learning Paradigms,” in Findings of the
Association for Computational Linguistics: EMNLP 2023, 2023, pp. 4636–4659,
doi: 10.18653/v1/2023.findings-emnlp.308.'
mla: 'Sengupta, Meghdut, et al. “Modeling Highlighting of Metaphors in Multitask
Contrastive Learning Paradigms.” Findings of the Association for Computational
Linguistics: EMNLP 2023, edited by Houda Bouamor et al., Association for Computational
Linguistics, 2023, pp. 4636–4659, doi:10.18653/v1/2023.findings-emnlp.308.'
short: 'M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: H. Bouamor, J.
Pino, K. Bali (Eds.), Findings of the Association for Computational Linguistics:
EMNLP 2023, Association for Computational Linguistics, Singapore, 2023, pp. 4636–4659.'
date_created: 2024-07-26T13:09:20Z
date_updated: 2024-07-26T13:19:53Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2023.findings-emnlp.308
editor:
- first_name: Houda
full_name: Bouamor, Houda
last_name: Bouamor
- first_name: Juan
full_name: Pino, Juan
last_name: Pino
- first_name: Kalika
full_name: Bali, Kalika
last_name: Bali
language:
- iso: eng
page: 4636–4659
place: Singapore
project:
- _id: '127'
name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens'
publication: 'Findings of the Association for Computational Linguistics: EMNLP 2023'
publisher: Association for Computational Linguistics
status: public
title: Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms
type: conference
user_id: '3900'
year: '2023'
...
---
_id: '51767'
author:
- first_name: 'Fabian '
full_name: 'Beer, Fabian '
last_name: Beer
- first_name: Christian
full_name: Schulz, Christian
id: '72684'
last_name: Schulz
citation:
ama: 'Beer F, Schulz C. The Return of Black Box Theory in Explainable AI. In: 4S
Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November
9.'
apa: Beer, F., & Schulz, C. (n.d.). The Return of Black Box Theory in Explainable
AI. 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9.
bibtex: '@inproceedings{Beer_Schulz, title={The Return of Black Box Theory in Explainable
AI}, booktitle={4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9}, author={Beer, Fabian and Schulz, Christian} }'
chicago: Beer, Fabian , and Christian Schulz. “The Return of Black Box Theory in
Explainable AI.” In 4S Conference (Society for the Social Studies of Science),
Honolulu/Hawaii, November 9, n.d.
ieee: F. Beer and C. Schulz, “The Return of Black Box Theory in Explainable AI.”
mla: Beer, Fabian, and Christian Schulz. “The Return of Black Box Theory in Explainable
AI.” 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9.
short: 'F. Beer, C. Schulz, in: 4S Conference (Society for the Social Studies of
Science), Honolulu/Hawaii, November 9, n.d.'
date_created: 2024-02-22T15:15:20Z
date_updated: 2024-08-14T06:15:04Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9
publication_status: unpublished
status: public
title: The Return of Black Box Theory in Explainable AI
type: conference
user_id: '72684'
year: '2023'
...
---
_id: '51766'
author:
- first_name: Christian
full_name: Schulz, Christian
id: '72684'
last_name: Schulz
- first_name: 'Annedore '
full_name: 'Wilmes , Annedore '
last_name: 'Wilmes '
citation:
ama: Schulz C, Wilmes A. Vernacular Metaphors of AI .
apa: Schulz, C., & Wilmes , A. (n.d.). Vernacular Metaphors of AI .
bibtex: '@inproceedings{Schulz_Wilmes , place={ICA Preconference Workshop “History
of Digital Metaphors”, University of Toronto, May 25 }, title={Vernacular Metaphors
of AI }, author={Schulz, Christian and Wilmes , Annedore } }'
chicago: Schulz, Christian, and Annedore Wilmes . “Vernacular Metaphors of AI .”
ICA Preconference Workshop “History of Digital Metaphors”, University of Toronto,
May 25 , n.d.
ieee: C. Schulz and A. Wilmes , “Vernacular Metaphors of AI .”
mla: Schulz, Christian, and Annedore Wilmes . Vernacular Metaphors of AI .
short: 'C. Schulz, A. Wilmes , in: ICA Preconference Workshop “History of Digital
Metaphors”, University of Toronto, May 25 , n.d.'
date_created: 2024-02-22T15:11:29Z
date_updated: 2024-08-14T06:04:55Z
department:
- _id: '660'
language:
- iso: eng
place: 'ICA Preconference Workshop "History of Digital Metaphors", University of Toronto,
May 25 '
project:
- _id: '122'
name: 'TRR 318 - B3: TRR 318 - Subproject B3'
publication_status: unpublished
status: public
title: 'Vernacular Metaphors of AI '
type: conference
user_id: '72684'
year: '2023'
...
---
_id: '46067'
abstract:
- lang: eng
text: 'The study investigates two different ways of guiding the addressee of
an explanation - an explainee, through action demonstration: contrastive and non-contrastive.
Their effect was tested on attention to specific action elements (goal) as well
as on event memory. In an eye-tracking experiment, participants were shown different
motion videos that were either contrastive or non-contrastive with respect to
the segments of movement presentation. Given that everyday action demonstration
is often multimodal, the stimuli were created with re- spect to their visual and
verbal presentation. For visual presentation, a video combined two movements in
a contrastive (e.g., Up-motion following a Down-motion) or non-contrastive way
(e.g., two Up-motions following each other). For verbal presentation, each video
was combined with a sequence of instruction descriptions in the form of negative
(i.e., contrastive) or assertive (i.e., non-contrastive) guidance. It was found
that a) attention to the event goal increased for this condition in the later
time window, and b) participants’ recall of the event was facilitated when a visually
contrastive motion was combined with a verbal contrast.
'
author:
- first_name: Amit
full_name: Singh, Amit
id: '91018'
last_name: Singh
orcid: 0000-0002-7789-1521
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
citation:
ama: 'Singh A, Rohlfing KJ. Contrastiveness in the context of action demonstration:
an eye-tracking study on its effects on action perception and action recall. In:
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45).
Cognitive Science Society; 2023.'
apa: 'Singh, A., & Rohlfing, K. J. (2023). Contrastiveness in the context of
action demonstration: an eye-tracking study on its effects on action perception
and action recall. Proceedings of the Annual Meeting of the Cognitive Science
Society 45 (45). 45th Annual Conference of the Cognitive Science Society,
Sydney.'
bibtex: '@inproceedings{Singh_Rohlfing_2023, place={Sydney, Australia}, title={Contrastiveness
in the context of action demonstration: an eye-tracking study on its effects on
action perception and action recall}, booktitle={Proceedings of the Annual Meeting
of the Cognitive Science Society 45 (45)}, publisher={Cognitive Science Society},
author={Singh, Amit and Rohlfing, Katharina J.}, year={2023} }'
chicago: 'Singh, Amit, and Katharina J. Rohlfing. “Contrastiveness in the Context
of Action Demonstration: An Eye-Tracking Study on Its Effects on Action Perception
and Action Recall.” In Proceedings of the Annual Meeting of the Cognitive Science
Society 45 (45). Sydney, Australia: Cognitive Science Society, 2023.'
ieee: 'A. Singh and K. J. Rohlfing, “Contrastiveness in the context of action demonstration:
an eye-tracking study on its effects on action perception and action recall,”
presented at the 45th Annual Conference of the Cognitive Science Society, Sydney,
2023.'
mla: 'Singh, Amit, and Katharina J. Rohlfing. “Contrastiveness in the Context of
Action Demonstration: An Eye-Tracking Study on Its Effects on Action Perception
and Action Recall.” Proceedings of the Annual Meeting of the Cognitive Science
Society 45 (45), Cognitive Science Society, 2023.'
short: 'A. Singh, K.J. Rohlfing, in: Proceedings of the Annual Meeting of the Cognitive
Science Society 45 (45), Cognitive Science Society, Sydney, Australia, 2023.'
conference:
location: Sydney
name: 45th Annual Conference of the Cognitive Science Society
date_created: 2023-07-15T12:16:42Z
date_updated: 2023-09-27T13:51:42Z
department:
- _id: '749'
- _id: '660'
keyword:
- Attention
- negation
- contrastive guidance
- eye-movements
- action understanding
- event representation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://escholarship.org/uc/item/2w94t4cv
oa: '1'
place: Sydney, Australia
popular_science: '1'
project:
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: Proceedings of the Annual Meeting of the Cognitive Science Society 45
(45)
publication_status: published
publisher: Cognitive Science Society
quality_controlled: '1'
related_material:
record:
- id: '46067'
relation: contains
status: public
status: public
title: 'Contrastiveness in the context of action demonstration: an eye-tracking study
on its effects on action perception and action recall'
type: conference
user_id: '91018'
year: '2023'
...
---
_id: '56477'
abstract:
- lang: eng
text: We describe a prototype of a Clinical Decision Support System (CDSS) that
provides (counterfactual) explanations to support accurate medical diagnosis.
The prototype is based on an inherently interpretable Bayesian network (BN). Our
research aims to investigate which explanations are most useful for medical experts
and whether co-constructing explanations can foster trust and acceptance of CDSS.
author:
- first_name: Felix
full_name: Liedeker, Felix
id: '93275'
last_name: Liedeker
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Liedeker F, Cimiano P. A Prototype of an Interactive Clinical Decision Support
System with Counterfactual Explanations. In: ; 2023.'
apa: Liedeker, F., & Cimiano, P. (2023). A Prototype of an Interactive Clinical
Decision Support System with Counterfactual Explanations. xAI-2023 Late-breaking
Work, Demos and Doctoral Consortium co-located with the 1st World Conference on
eXplainable Artificial Intelligence (xAI-2023), Lissabon.
bibtex: '@inproceedings{Liedeker_Cimiano_2023, title={A Prototype of an Interactive
Clinical Decision Support System with Counterfactual Explanations}, author={Liedeker,
Felix and Cimiano, Philipp}, year={2023} }'
chicago: Liedeker, Felix, and Philipp Cimiano. “A Prototype of an Interactive Clinical
Decision Support System with Counterfactual Explanations,” 2023.
ieee: F. Liedeker and P. Cimiano, “A Prototype of an Interactive Clinical Decision
Support System with Counterfactual Explanations,” presented at the xAI-2023 Late-breaking
Work, Demos and Doctoral Consortium co-located with the 1st World Conference on
eXplainable Artificial Intelligence (xAI-2023), Lissabon, 2023.
mla: Liedeker, Felix, and Philipp Cimiano. A Prototype of an Interactive Clinical
Decision Support System with Counterfactual Explanations. 2023.
short: 'F. Liedeker, P. Cimiano, in: 2023.'
conference:
end_date: 2023-07-28
location: Lissabon
name: xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with
the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023)
start_date: 2023-07-26
date_created: 2024-10-09T14:50:09Z
date_updated: 2024-10-09T15:04:53Z
department:
- _id: '660'
keyword:
- Explainable AI
- Clinical decision support
- Bayesian network
- Counterfactual explanations
language:
- iso: eng
project:
- _id: '128'
name: 'TRR 318 - C5: TRR 318 - Subproject C5'
status: public
title: A Prototype of an Interactive Clinical Decision Support System with Counterfactual
Explanations
type: conference
user_id: '93275'
year: '2023'
...
---
_id: '56478'
author:
- first_name: Felix
full_name: Liedeker, Felix
id: '93275'
last_name: Liedeker
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Liedeker F, Cimiano P. Dynamic Feature Selection in AI-based Diagnostic Decision
Support for Epilepsy. In: ; 2023.'
apa: Liedeker, F., & Cimiano, P. (2023). Dynamic Feature Selection in AI-based
Diagnostic Decision Support for Epilepsy. 1st International Conference on
Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge,
CO, USA .
bibtex: '@inproceedings{Liedeker_Cimiano_2023, title={Dynamic Feature Selection
in AI-based Diagnostic Decision Support for Epilepsy}, author={Liedeker, Felix
and Cimiano, Philipp}, year={2023} }'
chicago: Liedeker, Felix, and Philipp Cimiano. “Dynamic Feature Selection in AI-Based
Diagnostic Decision Support for Epilepsy,” 2023.
ieee: F. Liedeker and P. Cimiano, “Dynamic Feature Selection in AI-based Diagnostic
Decision Support for Epilepsy,” presented at the 1st International Conference
on Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge,
CO, USA , 2023.
mla: Liedeker, Felix, and Philipp Cimiano. Dynamic Feature Selection in AI-Based
Diagnostic Decision Support for Epilepsy. 2023.
short: 'F. Liedeker, P. Cimiano, in: 2023.'
conference:
end_date: 2023-03-10
location: 'Breckenridge, CO, USA '
name: 1st International Conference on Artificial Intelligence in Epilepsy and Neurological
Disorders
start_date: 2023-03-07
date_created: 2024-10-09T14:53:45Z
date_updated: 2024-10-09T15:06:47Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '128'
name: 'TRR 318 - C5: TRR 318 - Subproject C5'
status: public
title: Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy
type: conference_abstract
user_id: '93275'
year: '2023'
...
---
_id: '56663'
abstract:
- lang: eng
text: |-
Explainability has become an important topic in computer science and
artificial intelligence, leading to a subfield called Explainable Artificial
Intelligence (XAI). The goal of providing or seeking explanations is to achieve
(better) 'understanding' on the part of the explainee. However, what it means
to 'understand' is still not clearly defined, and the concept itself is rarely
the subject of scientific investigation. This conceptual article aims to
present a model of forms of understanding in the context of XAI and beyond.
From an interdisciplinary perspective bringing together computer science,
linguistics, sociology, and psychology, a definition of understanding and its
forms, assessment, and dynamics during the process of giving everyday
explanations are explored. Two types of understanding are considered as
possible outcomes of explanations, namely enabledness, 'knowing how' to do or
decide something, and comprehension, 'knowing that' -- both in different
degrees (from shallow to deep). Explanations regularly start with shallow
understanding in a specific domain and can lead to deep comprehension and
enabledness of the explanandum, which we see as a prerequisite for human users
to gain agency. In this process, the increase of comprehension and enabledness
are highly interdependent. Against the background of this systematization,
special challenges of understanding in XAI are discussed.
author:
- first_name: Hendrik
full_name: Buschmeier, Hendrik
last_name: Buschmeier
- first_name: Heike M.
full_name: Buhl, Heike M.
last_name: Buhl
- first_name: Friederike
full_name: Kern, Friederike
last_name: Kern
- first_name: Angela
full_name: Grimminger, Angela
last_name: Grimminger
- first_name: Helen
full_name: Beierling, Helen
last_name: Beierling
- first_name: Josephine
full_name: Fisher, Josephine
last_name: Fisher
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Ilona
full_name: Horwath, Ilona
last_name: Horwath
- first_name: Nils
full_name: Klowait, Nils
last_name: Klowait
- first_name: Stefan
full_name: Lazarov, Stefan
last_name: Lazarov
- first_name: Michael
full_name: Lenke, Michael
last_name: Lenke
- first_name: Vivien
full_name: Lohmer, Vivien
last_name: Lohmer
- first_name: Katharina
full_name: Rohlfing, Katharina
last_name: Rohlfing
- first_name: Ingrid
full_name: Scharlau, Ingrid
last_name: Scharlau
- first_name: Amit
full_name: Singh, Amit
last_name: Singh
- first_name: Lutz
full_name: Terfloth, Lutz
last_name: Terfloth
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
last_name: Vollmer
- first_name: Yu
full_name: Wang, Yu
last_name: Wang
- first_name: Annedore
full_name: Wilmes, Annedore
last_name: Wilmes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: Buschmeier H, Buhl HM, Kern F, et al. Forms of Understanding of XAI-Explanations.
arXiv:231108760. Published online 2023.
apa: Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher,
J., Groß, A., Horwath, I., Klowait, N., Lazarov, S., Lenke, M., Lohmer, V., Rohlfing,
K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang, Y., Wilmes, A.,
& Wrede, B. (2023). Forms of Understanding of XAI-Explanations. In arXiv:2311.08760.
bibtex: '@article{Buschmeier_Buhl_Kern_Grimminger_Beierling_Fisher_Groß_Horwath_Klowait_Lazarov_et
al._2023, title={Forms of Understanding of XAI-Explanations}, journal={arXiv:2311.08760},
author={Buschmeier, Hendrik and Buhl, Heike M. and Kern, Friederike and Grimminger,
Angela and Beierling, Helen and Fisher, Josephine and Groß, André and Horwath,
Ilona and Klowait, Nils and Lazarov, Stefan and et al.}, year={2023} }'
chicago: Buschmeier, Hendrik, Heike M. Buhl, Friederike Kern, Angela Grimminger,
Helen Beierling, Josephine Fisher, André Groß, et al. “Forms of Understanding
of XAI-Explanations.” ArXiv:2311.08760, 2023.
ieee: H. Buschmeier et al., “Forms of Understanding of XAI-Explanations,”
arXiv:2311.08760. 2023.
mla: Buschmeier, Hendrik, et al. “Forms of Understanding of XAI-Explanations.” ArXiv:2311.08760,
2023.
short: H. Buschmeier, H.M. Buhl, F. Kern, A. Grimminger, H. Beierling, J. Fisher,
A. Groß, I. Horwath, N. Klowait, S. Lazarov, M. Lenke, V. Lohmer, K. Rohlfing,
I. Scharlau, A. Singh, L. Terfloth, A.-L. Vollmer, Y. Wang, A. Wilmes, B. Wrede,
ArXiv:2311.08760 (2023).
date_created: 2024-10-17T10:09:39Z
date_updated: 2024-10-31T09:24:20Z
department:
- _id: '749'
- _id: '660'
external_id:
arxiv:
- '2311.08760'
publication: arXiv:2311.08760
status: public
title: Forms of Understanding of XAI-Explanations
type: preprint
user_id: '91018'
year: '2023'
...
---
_id: '51367'
author:
- first_name: Amelie
full_name: Robrecht, Amelie
id: '91982'
last_name: Robrecht
orcid: 0000-0001-5622-8248
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
citation:
ama: 'Robrecht A, Kopp S. SNAPE: A Sequential Non-Stationary Decision Process Model
for Adaptive Explanation Generation. In: Proceedings of the 15th International
Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and
Technology Publications; 2023:48-58. doi:10.5220/0011671300003393'
apa: 'Robrecht, A., & Kopp, S. (2023). SNAPE: A Sequential Non-Stationary Decision
Process Model for Adaptive Explanation Generation. Proceedings of the 15th
International Conference on Agents and Artificial Intelligence, 48–58. https://doi.org/10.5220/0011671300003393'
bibtex: '@inproceedings{Robrecht_Kopp_2023, title={SNAPE: A Sequential Non-Stationary
Decision Process Model for Adaptive Explanation Generation}, DOI={10.5220/0011671300003393},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial
Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Robrecht,
Amelie and Kopp, Stefan}, year={2023}, pages={48–58} }'
chicago: 'Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary
Decision Process Model for Adaptive Explanation Generation.” In Proceedings
of the 15th International Conference on Agents and Artificial Intelligence,
48–58. SCITEPRESS - Science and Technology Publications, 2023. https://doi.org/10.5220/0011671300003393.'
ieee: 'A. Robrecht and S. Kopp, “SNAPE: A Sequential Non-Stationary Decision Process
Model for Adaptive Explanation Generation,” in Proceedings of the 15th International
Conference on Agents and Artificial Intelligence, Lisbon, 2023, pp. 48–58,
doi: 10.5220/0011671300003393.'
mla: 'Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary Decision
Process Model for Adaptive Explanation Generation.” Proceedings of the 15th
International Conference on Agents and Artificial Intelligence, SCITEPRESS
- Science and Technology Publications, 2023, pp. 48–58, doi:10.5220/0011671300003393.'
short: 'A. Robrecht, S. Kopp, in: Proceedings of the 15th International Conference
on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications,
2023, pp. 48–58.'
conference:
end_date: ' 2023-02-24'
location: Lisbon
name: 15th International Conference on Agents and Artificial Intelligence
start_date: '2023-02-22 '
date_created: 2024-02-18T10:05:42Z
date_updated: 2025-01-15T13:46:38Z
department:
- _id: '660'
doi: 10.5220/0011671300003393
language:
- iso: eng
page: 48-58
project:
- _id: '111'
grant_number: '438445824'
name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
publication: Proceedings of the 15th International Conference on Agents and Artificial
Intelligence
publication_identifier:
isbn:
- 978-989-758-623-1
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
status: public
title: 'SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation
Generation'
type: conference
user_id: '55908'
year: '2023'
...
---
_id: '55156'
author:
- first_name: Josephine Beryl
full_name: Fisher, Josephine Beryl
id: '56345'
last_name: Fisher
- first_name: Amelie
full_name: Robrecht, Amelie
id: '91982'
last_name: Robrecht
orcid: 0000-0001-5622-8248
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
citation:
ama: 'Fisher JB, Robrecht A, Kopp S, Rohlfing KJ. Exploring the Semantic Dialogue
Patterns of Explanations – a Case Study of Game Explanations. In: Proceedings
of the 27th Workshop on the Semantics and Pragmatics of Dialogue . ; 2023.'
apa: Fisher, J. B., Robrecht, A., Kopp, S., & Rohlfing, K. J. (2023). Exploring
the Semantic Dialogue Patterns of Explanations – a Case Study of Game Explanations.
Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue
. Semdial, Maribor.
bibtex: '@inproceedings{Fisher_Robrecht_Kopp_Rohlfing_2023, title={Exploring the
Semantic Dialogue Patterns of Explanations – a Case Study of Game Explanations},
booktitle={Proceedings of the 27th Workshop on the Semantics and Pragmatics of
Dialogue }, author={Fisher, Josephine Beryl and Robrecht, Amelie and Kopp, Stefan
and Rohlfing, Katharina J.}, year={2023} }'
chicago: Fisher, Josephine Beryl, Amelie Robrecht, Stefan Kopp, and Katharina J.
Rohlfing. “Exploring the Semantic Dialogue Patterns of Explanations – a Case Study
of Game Explanations.” In Proceedings of the 27th Workshop on the Semantics
and Pragmatics of Dialogue , 2023.
ieee: J. B. Fisher, A. Robrecht, S. Kopp, and K. J. Rohlfing, “Exploring the Semantic
Dialogue Patterns of Explanations – a Case Study of Game Explanations,” presented
at the Semdial, Maribor, 2023.
mla: Fisher, Josephine Beryl, et al. “Exploring the Semantic Dialogue Patterns of
Explanations – a Case Study of Game Explanations.” Proceedings of the 27th
Workshop on the Semantics and Pragmatics of Dialogue , 2023.
short: 'J.B. Fisher, A. Robrecht, S. Kopp, K.J. Rohlfing, in: Proceedings of the
27th Workshop on the Semantics and Pragmatics of Dialogue , 2023.'
conference:
location: Maribor
name: Semdial
date_created: 2024-07-10T11:07:51Z
date_updated: 2025-01-15T13:57:35Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '111'
grant_number: '438445824'
name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)'
publication: 'Proceedings of the 27th Workshop on the Semantics and Pragmatics of
Dialogue '
status: public
title: Exploring the Semantic Dialogue Patterns of Explanations – a Case Study of
Game Explanations
type: conference
user_id: '55908'
year: '2023'
...
---
_id: '50262'
abstract:
- lang: eng
text: AbstractExplainable artificial intelligence
has mainly focused on static learning scenarios so far. We are interested in dynamic
scenarios where data is sampled progressively, and learning is done in an incremental
rather than a batch mode. We seek efficient incremental algorithms for computing
feature importance (FI). Permutation feature importance (PFI) is a well-established
model-agnostic measure to obtain global FI based on feature marginalization of
absent features. We propose an efficient, model-agnostic algorithm called iPFI
to estimate this measure incrementally and under dynamic modeling conditions including
concept drift. We prove theoretical guarantees on the approximation quality in
terms of expectation and variance. To validate our theoretical findings and the
efficacy of our approaches in incremental scenarios dealing with streaming data
rather than traditional batch settings, we conduct multiple experimental studies
on benchmark data with and without concept drift.
author:
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- 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, Hüllermeier E, Hammer B. Incremental permutation
feature importance (iPFI): towards online explanations on data streams. Machine
Learning. 2023;112(12):4863-4903. doi:10.1007/s10994-023-06385-y'
apa: 'Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental
permutation feature importance (iPFI): towards online explanations on data streams.
Machine Learning, 112(12), 4863–4903. https://doi.org/10.1007/s10994-023-06385-y'
bibtex: '@article{Fumagalli_Muschalik_Hüllermeier_Hammer_2023, title={Incremental
permutation feature importance (iPFI): towards online explanations on data streams},
volume={112}, DOI={10.1007/s10994-023-06385-y},
number={12}, journal={Machine Learning}, publisher={Springer Science and Business
Media LLC}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier,
Eyke and Hammer, Barbara}, year={2023}, pages={4863–4903} }'
chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara
Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations
on Data Streams.” Machine Learning 112, no. 12 (2023): 4863–4903. https://doi.org/10.1007/s10994-023-06385-y.'
ieee: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation
feature importance (iPFI): towards online explanations on data streams,” Machine
Learning, vol. 112, no. 12, pp. 4863–4903, 2023, doi: 10.1007/s10994-023-06385-y.'
mla: 'Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI):
Towards Online Explanations on Data Streams.” Machine Learning, vol. 112,
no. 12, Springer Science and Business Media LLC, 2023, pp. 4863–903, doi:10.1007/s10994-023-06385-y.'
short: F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, Machine Learning 112
(2023) 4863–4903.
date_created: 2024-01-05T21:52:28Z
date_updated: 2025-01-16T16:20:12Z
department:
- _id: '660'
doi: 10.1007/s10994-023-06385-y
intvolume: ' 112'
issue: '12'
keyword:
- Artificial Intelligence
- Software
language:
- iso: eng
page: 4863-4903
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: Machine Learning
publication_identifier:
issn:
- 0885-6125
- 1573-0565
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Incremental permutation feature importance (iPFI): towards online explanations
on data streams'
type: journal_article
user_id: '93420'
volume: 112
year: '2023'
...
---
_id: '58723'
abstract:
- lang: eng
text: In real-world debates, the most common way to counter an argument is to reason
against its main point, that is, its conclusion. Existing work on the automatic
generation of natural language counter-arguments does not address the relation
to the conclusion, possibly because many arguments leave their conclusion implicit.
In this paper, we hypothesize that the key to effective counter-argument generation
is to explicitly model the argument‘s conclusion and to ensure that the stance
of the generated counter is opposite to that conclusion. In particular, we propose
a multitask approach that jointly learns to generate both the conclusion and the
counter of an input argument. The approach employs a stance-based ranking component
that selects the counter from a diverse set of generated candidates whose stance
best opposes the generated conclusion. In both automatic and manual evaluation,
we provide evidence that our approach generates more relevant and stance-adhering
counters than strong baselines.
author:
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Alshomary M, Wachsmuth H. Conclusion-based Counter-Argument Generation. In:
Vlachos A, Augenstein I, eds. Proceedings of the 17th Conference of the European
Chapter of the Association for Computational Linguistics. Association for
Computational Linguistics; 2023:957–967. doi:10.18653/v1/2023.eacl-main.67'
apa: Alshomary, M., & Wachsmuth, H. (2023). Conclusion-based Counter-Argument
Generation. In A. Vlachos & I. Augenstein (Eds.), Proceedings of the 17th
Conference of the European Chapter of the Association for Computational Linguistics
(pp. 957–967). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.eacl-main.67
bibtex: '@inproceedings{Alshomary_Wachsmuth_2023, place={Dubrovnik, Croatia}, title={Conclusion-based
Counter-Argument Generation}, DOI={10.18653/v1/2023.eacl-main.67},
booktitle={Proceedings of the 17th Conference of the European Chapter of the Association
for Computational Linguistics}, publisher={Association for Computational Linguistics},
author={Alshomary, Milad and Wachsmuth, Henning}, editor={Vlachos, Andreas and
Augenstein, Isabelle}, year={2023}, pages={957–967} }'
chicago: 'Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument
Generation.” In Proceedings of the 17th Conference of the European Chapter
of the Association for Computational Linguistics, edited by Andreas Vlachos
and Isabelle Augenstein, 957–967. Dubrovnik, Croatia: Association for Computational
Linguistics, 2023. https://doi.org/10.18653/v1/2023.eacl-main.67.'
ieee: 'M. Alshomary and H. Wachsmuth, “Conclusion-based Counter-Argument Generation,”
in Proceedings of the 17th Conference of the European Chapter of the Association
for Computational Linguistics, 2023, pp. 957–967, doi: 10.18653/v1/2023.eacl-main.67.'
mla: Alshomary, Milad, and Henning Wachsmuth. “Conclusion-Based Counter-Argument
Generation.” Proceedings of the 17th Conference of the European Chapter of
the Association for Computational Linguistics, edited by Andreas Vlachos and
Isabelle Augenstein, Association for Computational Linguistics, 2023, pp. 957–967,
doi:10.18653/v1/2023.eacl-main.67.
short: 'M. Alshomary, H. Wachsmuth, in: A. Vlachos, I. Augenstein (Eds.), Proceedings
of the 17th Conference of the European Chapter of the Association for Computational
Linguistics, Association for Computational Linguistics, Dubrovnik, Croatia, 2023,
pp. 957–967.'
date_created: 2025-02-20T08:20:35Z
date_updated: 2025-02-20T08:21:41Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2023.eacl-main.67
editor:
- first_name: Andreas
full_name: Vlachos, Andreas
last_name: Vlachos
- first_name: Isabelle
full_name: Augenstein, Isabelle
last_name: Augenstein
language:
- iso: eng
page: 957–967
place: Dubrovnik, Croatia
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 17th Conference of the European Chapter of the Association
for Computational Linguistics
publisher: Association for Computational Linguistics
status: public
title: Conclusion-based Counter-Argument Generation
type: conference
user_id: '3900'
year: '2023'
...