---
_id: '61066'
abstract:
- lang: eng
text: "Argumentation is a central subarea of Artificial Intelligence (AI) for\r\nmodeling
and reasoning about arguments. The semantics of abstract argumentation\r\nframeworks
(AFs) is given by sets of arguments (extensions) and conditions on\r\nthe relationship
between them, such as stable or admissible. Today's solvers\r\nimplement tasks
such as finding extensions, deciding credulous or skeptical\r\nacceptance, counting,
or enumerating extensions. While these tasks are well\r\ncharted, the area between
decision, counting/enumeration and fine-grained\r\nreasoning requires expensive
reasoning so far. We introduce a novel concept\r\n(facets) for reasoning between
decision and enumeration. Facets are arguments\r\nthat belong to some extensions
(credulous) but not to all extensions\r\n(skeptical). They are most natural when
a user aims to navigate, filter, or\r\ncomprehend the significance of specific
arguments, according to their needs. We\r\nstudy the complexity and show that
tasks involving facets are much easier than\r\ncounting extensions. Finally, we
provide an implementation, and conduct\r\nexperiments to demonstrate feasibility."
author:
- first_name: Johannes
full_name: Fichte, Johannes
last_name: Fichte
- first_name: Nicolas
full_name: Fröhlich, Nicolas
last_name: Fröhlich
- first_name: Markus
full_name: Hecher, Markus
last_name: Hecher
- first_name: Victor
full_name: Lagerkvist, Victor
last_name: Lagerkvist
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Arne
full_name: Meier, Arne
last_name: Meier
- first_name: Jonathan
full_name: Persson, Jonathan
last_name: Persson
citation:
ama: 'Fichte J, Fröhlich N, Hecher M, et al. Facets in Argumentation: A Formal Approach
to Argument Significance. arXiv:250510982. Published online 2025.'
apa: 'Fichte, J., Fröhlich, N., Hecher, M., Lagerkvist, V., Mahmood, Y., Meier,
A., & Persson, J. (2025). Facets in Argumentation: A Formal Approach to Argument
Significance. In arXiv:2505.10982.'
bibtex: '@article{Fichte_Fröhlich_Hecher_Lagerkvist_Mahmood_Meier_Persson_2025,
title={Facets in Argumentation: A Formal Approach to Argument Significance}, journal={arXiv:2505.10982},
author={Fichte, Johannes and Fröhlich, Nicolas and Hecher, Markus and Lagerkvist,
Victor and Mahmood, Yasir and Meier, Arne and Persson, Jonathan}, year={2025}
}'
chicago: 'Fichte, Johannes, Nicolas Fröhlich, Markus Hecher, Victor Lagerkvist,
Yasir Mahmood, Arne Meier, and Jonathan Persson. “Facets in Argumentation: A Formal
Approach to Argument Significance.” ArXiv:2505.10982, 2025.'
ieee: 'J. Fichte et al., “Facets in Argumentation: A Formal Approach to Argument
Significance,” arXiv:2505.10982. 2025.'
mla: 'Fichte, Johannes, et al. “Facets in Argumentation: A Formal Approach to Argument
Significance.” ArXiv:2505.10982, 2025.'
short: J. Fichte, N. Fröhlich, M. Hecher, V. Lagerkvist, Y. Mahmood, A. Meier, J.
Persson, ArXiv:2505.10982 (2025).
date_created: 2025-08-29T08:07:43Z
date_updated: 2025-09-11T09:58:34Z
department:
- _id: '574'
external_id:
arxiv:
- '2505.10982'
language:
- iso: eng
project:
- _id: '121'
name: 'TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des
maschinellen Lernens'
publication: arXiv:2505.10982
status: public
title: 'Facets in Argumentation: A Formal Approach to Argument Significance'
type: preprint
user_id: '99353'
year: '2025'
...
---
_id: '61198'
article_number: '1146'
author:
- first_name: Tim
full_name: Rogge, Tim
last_name: Rogge
- first_name: Bardo
full_name: Herzig, Bardo
id: '217'
last_name: Herzig
citation:
ama: Rogge T, Herzig B. Enhancing Pre-Service Teachers’ Reflective Competence Through
Structured Video Annotation. education sciences. 2025;(15).
apa: Rogge, T., & Herzig, B. (2025). Enhancing Pre-Service Teachers’ Reflective
Competence Through Structured Video Annotation. Education Sciences, 15,
Article 1146.
bibtex: '@article{Rogge_Herzig_2025, title={Enhancing Pre-Service Teachers’ Reflective
Competence Through Structured Video Annotation}, number={151146}, journal={education
sciences}, publisher={MDPI}, author={Rogge, Tim and Herzig, Bardo}, year={2025}
}'
chicago: Rogge, Tim, and Bardo Herzig. “Enhancing Pre-Service Teachers’ Reflective
Competence Through Structured Video Annotation.” Education Sciences, no.
15 (2025).
ieee: T. Rogge and B. Herzig, “Enhancing Pre-Service Teachers’ Reflective Competence
Through Structured Video Annotation,” education sciences, no. 15, Art.
no. 1146, 2025.
mla: Rogge, Tim, and Bardo Herzig. “Enhancing Pre-Service Teachers’ Reflective Competence
Through Structured Video Annotation.” Education Sciences, no. 15, 1146,
MDPI, 2025.
short: T. Rogge, B. Herzig, Education Sciences (2025).
date_created: 2025-09-11T09:46:19Z
date_updated: 2025-09-11T09:59:23Z
department:
- _id: '459'
issue: '15'
language:
- iso: eng
publication: education sciences
publication_identifier:
unknown:
- https://www.mdpi.com/2227-7102/15/9/1146
publication_status: published
publisher: MDPI
status: public
title: Enhancing Pre-Service Teachers' Reflective Competence Through Structured Video
Annotation
type: journal_article
user_id: '66956'
year: '2025'
...
---
_id: '61150'
abstract:
- lang: eng
text: Since the emergence of the field of eXplainable Artificial Intelligence (XAI),
a growing number of researchers have argued that XAI should consider insights
from the social sciences in order to adapt explanations to the expectations and
needs of human users. This has led to the emergence of a field called Social XAI,
which is concerned with understanding how explanations are actively shaped in
the interaction between a human user and an AI system. Recognizing this turn in
XAI toward making XAI systems more “social” by providing explanations that focus
on human information needs and incorporating insights from human–human explanatory
interactions, in this paper we provide a formal foundation for Social XAI. We
do so by proposing novel ontological accounts of the key terms used in Social
XAI based on Basic Formal Ontology (BFO). Specifically, we provide novel ontological
accounts for explanandum, explanans, understanding, explanation, explainer, explainee,
and context. In doing so, we discuss multifaceted entities in Social XAI (having
both continuant and occurrent facets; e.g., explanation) and the relationship
between understanding and explanation. Additionally, we propose solutions to seemingly
paradoxical views on some terms (e.g., social constructivist vs. individual constructivist
perspective on explanandum).
author:
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
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 BFO-based ontological analysis of
entities in Social XAI. In: Proceedings of the 15th International Conference
on Formal Ontology in Information Systems. IOS Press; 2025:255–268. doi:10.3233/faia250498'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2025). A BFO-based ontological
analysis of entities in Social XAI. In Proceedings of the 15th International
Conference on Formal Ontology in Information Systems (pp. 255–268). IOS Press.
https://doi.org/10.3233/faia250498
bibtex: '@inbook{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontological
analysis of entities in Social XAI}, DOI={10.3233/faia250498},
booktitle={Proceedings of the 15th International Conference on Formal Ontology
in Information Systems}, publisher={IOS Press}, author={Booshehri, Meisam and
Buschmeier, Hendrik and Cimiano, Philipp}, year={2025}, pages={255–268} }'
chicago: Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based
Ontological Analysis of Entities in Social XAI.” In Proceedings of the 15th
International Conference on Formal Ontology in Information Systems, 255–268.
IOS Press, 2025. https://doi.org/10.3233/faia250498.
ieee: M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontological analysis
of entities in Social XAI,” in Proceedings of the 15th International Conference
on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.
mla: Booshehri, Meisam, et al. “A BFO-Based Ontological Analysis of Entities in
Social XAI.” Proceedings of the 15th International Conference on Formal Ontology
in Information Systems, IOS Press, 2025, pp. 255–268, doi:10.3233/faia250498.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 15th International
Conference on Formal Ontology in Information Systems, IOS Press, 2025, pp. 255–268.'
conference:
end_date: 2025-09-12
location: Catania, Italy
name: 15th International Conference on Formal Ontology in Information Systems
start_date: 2025-09-08
date_created: 2025-09-08T14:00:45Z
date_updated: 2025-09-11T10:16:28Z
department:
- _id: '660'
doi: 10.3233/faia250498
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.3233/FAIA250498
oa: '1'
page: 255–268
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Proceedings of the 15th International Conference on Formal Ontology in
Information Systems
publication_identifier:
isbn:
- '9781643686172'
issn:
- 0922-6389
- 1879-8314
publication_status: published
publisher: IOS Press
quality_controlled: '1'
status: public
title: A BFO-based ontological analysis of entities in Social XAI
type: book_chapter
user_id: '76456'
year: '2025'
...
---
_id: '61202'
abstract:
- lang: eng
text: The number of datasets on the web of data increases continuously. However,
the knowledge contained therein cannot be fully utilized without finding links
between the entities contained in these datasets. Equivalent entities can not
be identified solely by checking the equivalence of IRIs because of the different
origins and naming schemes of different data providers. Yet, such equivalences
can be discovered by computing the similarity of their attributes. In this paper
we propose GLIDE, an approach that links entities from two different datasets
by embedding a joint model of these datasets enriched by additional relations
describing the similarity of literals. The joint model is embedded into a latent
vector space while paying attention to juxtaposing similar literals. We evaluate
our approach against state-of-the-art algorithms using real-world datasets commonly
used in link discovery literature. The results show that GLIDE outperforms all
baselines on 5 of 7 datasets with perfect or near-perfect accuracy. Our approach
achieves its best performance on datasets that feature several literals with similarities.
Our experiments indicate that researchers should not only pay attention to equal
literals in knowledge graph embedding but should also be aware of the distance
between similar literals.
author:
- first_name: Alexander
full_name: Becker, Alexander
last_name: Becker
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: 'Mohamed '
full_name: 'Sherif, Mohamed '
last_name: Sherif
citation:
ama: 'Becker A, Ngonga Ngomo A-C, Sherif M. GLIDE: Knowledge Graph Linking using
Distance-Aware Embeddings. In: The Semantic Web – ISWC 2025. ; 2025.'
apa: 'Becker, A., Ngonga Ngomo, A.-C., & Sherif, M. (2025). GLIDE: Knowledge
Graph Linking using Distance-Aware Embeddings. The Semantic Web – ISWC 2025.
ISWC 2025.'
bibtex: '@inproceedings{Becker_Ngonga Ngomo_Sherif_2025, place={Nara, Japan}, title={GLIDE:
Knowledge Graph Linking using Distance-Aware Embeddings}, booktitle={The Semantic
Web – ISWC 2025}, author={Becker, Alexander and Ngonga Ngomo, Axel-Cyrille and
Sherif, Mohamed }, year={2025} }'
chicago: 'Becker, Alexander, Axel-Cyrille Ngonga Ngomo, and Mohamed Sherif. “GLIDE:
Knowledge Graph Linking Using Distance-Aware Embeddings.” In The Semantic Web
– ISWC 2025. Nara, Japan, 2025.'
ieee: 'A. Becker, A.-C. Ngonga Ngomo, and M. Sherif, “GLIDE: Knowledge Graph Linking
using Distance-Aware Embeddings,” presented at the ISWC 2025, 2025.'
mla: 'Becker, Alexander, et al. “GLIDE: Knowledge Graph Linking Using Distance-Aware
Embeddings.” The Semantic Web – ISWC 2025, 2025.'
short: 'A. Becker, A.-C. Ngonga Ngomo, M. Sherif, in: The Semantic Web – ISWC 2025,
Nara, Japan, 2025.'
conference:
name: ISWC 2025
date_created: 2025-09-11T10:04:16Z
date_updated: 2025-09-11T10:34:52Z
department:
- _id: '574'
keyword:
- becker sherif enexa sailproject dice simba ngonga whale
language:
- iso: eng
place: Nara, Japan
publication: The Semantic Web – ISWC 2025
status: public
title: 'GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings'
type: conference
user_id: '67234'
year: '2025'
...
---
_id: '61213'
abstract:
- lang: eng
text: |-
Understanding how scaffolding strategies influence human understanding in
human-robot interaction is important for developing effective assistive
systems. This empirical study investigates linguistic scaffolding strategies
based on negation as an important means that de-biases the user from potential
errors but increases processing costs and hesitations as a means to ameliorate
processing costs. In an adaptive strategy, the user state with respect to the
current state of understanding and processing capacity was estimated via a
scoring scheme based on task performance, prior scaffolding strategy, and
current eye gaze behavior. In the study, the adaptive strategy of providing
negations and hesitations was compared with a non-adaptive strategy of
providing only affirmations. The adaptive scaffolding strategy was generated
using the computational model SHIFT. Our findings indicate that using adaptive
scaffolding strategies with SHIFT tends to (1) increased processing costs, as
reflected in longer reaction times, but (2) improved task understanding,
evidenced by a lower error rate of almost 23%. We assessed the efficiency of
SHIFT's selected scaffolding strategies across different cognitive states,
finding that in three out of five states, the error rate was lower compared to
the baseline condition. We discuss how these results align with the assumptions
of the SHIFT model and highlight areas for refinement. Moreover, we demonstrate
how scaffolding strategies, such as negation and hesitation, contribute to more
effective human-robot explanatory dialogues.
author:
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Bjarne
full_name: Thomzik, Bjarne
last_name: Thomzik
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: Groß A, Richter B, Thomzik B, Wrede B. Leveraging Cognitive States for Adaptive
Scaffolding of Understanding in Explanatory Tasks in HRI. arXiv:250319692.
Published online 2025.
apa: Groß, A., Richter, B., Thomzik, B., & Wrede, B. (2025). Leveraging Cognitive
States for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI.
In arXiv:2503.19692.
bibtex: '@article{Groß_Richter_Thomzik_Wrede_2025, title={Leveraging Cognitive States
for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI}, journal={arXiv:2503.19692},
author={Groß, André and Richter, Birte and Thomzik, Bjarne and Wrede, Britta},
year={2025} }'
chicago: Groß, André, Birte Richter, Bjarne Thomzik, and Britta Wrede. “Leveraging
Cognitive States for Adaptive Scaffolding of Understanding in Explanatory Tasks
in HRI.” ArXiv:2503.19692, 2025.
ieee: A. Groß, B. Richter, B. Thomzik, and B. Wrede, “Leveraging Cognitive States
for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI,” arXiv:2503.19692.
2025.
mla: Groß, André, et al. “Leveraging Cognitive States for Adaptive Scaffolding of
Understanding in Explanatory Tasks in HRI.” ArXiv:2503.19692, 2025.
short: A. Groß, B. Richter, B. Thomzik, B. Wrede, ArXiv:2503.19692 (2025).
date_created: 2025-09-11T10:28:03Z
date_updated: 2025-09-11T10:32:16Z
external_id:
arxiv:
- '2503.19692'
publication: arXiv:2503.19692
status: public
title: |-
Leveraging Cognitive States for Adaptive Scaffolding of Understanding in
Explanatory Tasks in HRI
type: preprint
user_id: '93405'
year: '2025'
...
---
_id: '61214'
abstract:
- lang: eng
text: |-
In this work, we present a domain-independent approach for adaptive
scaffolding in robotic explanation generation to guide tasks in human-robot
interaction. We present a method for incorporating interdisciplinary research
results into a computational model as a pre-configured scoring system
implemented in a framework called SHIFT. This involves outlining a procedure
for integrating concepts from disciplines outside traditional computer science
into a robotics computational framework. Our approach allows us to model the
human cognitive state into six observable states within the human partner
model. To study the pre-configuration of the system, we implement a
reinforcement learning approach on top of our model. This approach allows
adaptation to individuals who deviate from the configuration of the scoring
system. Therefore, in our proof-of-concept evaluation, the model's adaptability
on four different user types shows that the models' adaptation performs better,
i.e., recouped faster after exploration and has a higher accumulated reward
with our pre-configured scoring system than without it. We discuss further
strategies of speeding up the learning phase to enable a realistic adaptation
behavior to real users. The system is accessible through docker and supports
querying via ROS.
author:
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Groß A, Richter B, Wrede B. SHIFT: An Interdisciplinary Framework for Scaffolding
Human Attention and Understanding in Explanatory Tasks. arXiv:250316447.
Published online 2025.'
apa: 'Groß, A., Richter, B., & Wrede, B. (2025). SHIFT: An Interdisciplinary
Framework for Scaffolding Human Attention and Understanding in Explanatory Tasks.
In arXiv:2503.16447.'
bibtex: '@article{Groß_Richter_Wrede_2025, title={SHIFT: An Interdisciplinary Framework
for Scaffolding Human Attention and Understanding in Explanatory Tasks}, journal={arXiv:2503.16447},
author={Groß, André and Richter, Birte and Wrede, Britta}, year={2025} }'
chicago: 'Groß, André, Birte Richter, and Britta Wrede. “SHIFT: An Interdisciplinary
Framework for Scaffolding Human Attention and Understanding in Explanatory Tasks.”
ArXiv:2503.16447, 2025.'
ieee: 'A. Groß, B. Richter, and B. Wrede, “SHIFT: An Interdisciplinary Framework
for Scaffolding Human Attention and Understanding in Explanatory Tasks,” arXiv:2503.16447.
2025.'
mla: 'Groß, André, et al. “SHIFT: An Interdisciplinary Framework for Scaffolding
Human Attention and Understanding in Explanatory Tasks.” ArXiv:2503.16447,
2025.'
short: A. Groß, B. Richter, B. Wrede, ArXiv:2503.16447 (2025).
date_created: 2025-09-11T10:28:24Z
date_updated: 2025-09-11T10:32:21Z
external_id:
arxiv:
- '2503.16447'
publication: arXiv:2503.16447
status: public
title: |-
SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention
and Understanding in Explanatory Tasks
type: preprint
user_id: '93405'
year: '2025'
...
---
_id: '61134'
author:
- first_name: Ali
full_name: Manzoor, Ali
id: '77309'
last_name: Manzoor
orcid: https://orcid.org/0000-0001-8403-5160
- first_name: René
full_name: Speck, René
id: '70843'
last_name: Speck
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Muhammad
full_name: Saleem, Muhammad
last_name: Saleem
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: Manzoor A, Speck R, Zahera HMA, Saleem M, Moussallem D, Ngonga Ngomo A-C. Multilingual
Relation Extraction - A Survey. IEEE Access. Published online 2025:1-1.
doi:10.1109/access.2025.3604258
apa: Manzoor, A., Speck, R., Zahera, H. M. A., Saleem, M., Moussallem, D., &
Ngonga Ngomo, A.-C. (2025). Multilingual Relation Extraction - A Survey. IEEE
Access, 1–1. https://doi.org/10.1109/access.2025.3604258
bibtex: '@article{Manzoor_Speck_Zahera_Saleem_Moussallem_Ngonga Ngomo_2025, title={Multilingual
Relation Extraction - A Survey}, DOI={10.1109/access.2025.3604258},
journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers
(IEEE)}, author={Manzoor, Ali and Speck, René and Zahera, Hamada Mohamed Abdelsamee
and Saleem, Muhammad and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025},
pages={1–1} }'
chicago: Manzoor, Ali, René Speck, Hamada Mohamed Abdelsamee Zahera, Muhammad Saleem,
Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Relation Extraction
- A Survey.” IEEE Access, 2025, 1–1. https://doi.org/10.1109/access.2025.3604258.
ieee: 'A. Manzoor, R. Speck, H. M. A. Zahera, M. Saleem, D. Moussallem, and A.-C.
Ngonga Ngomo, “Multilingual Relation Extraction - A Survey,” IEEE Access,
pp. 1–1, 2025, doi: 10.1109/access.2025.3604258.'
mla: Manzoor, Ali, et al. “Multilingual Relation Extraction - A Survey.” IEEE
Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp.
1–1, doi:10.1109/access.2025.3604258.
short: A. Manzoor, R. Speck, H.M.A. Zahera, M. Saleem, D. Moussallem, A.-C. Ngonga
Ngomo, IEEE Access (2025) 1–1.
date_created: 2025-09-04T13:32:08Z
date_updated: 2025-09-11T11:14:27Z
department:
- _id: '574'
doi: 10.1109/access.2025.3604258
language:
- iso: eng
page: 1-1
publication: IEEE Access
publication_identifier:
issn:
- 2169-3536
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Multilingual Relation Extraction - A Survey
type: journal_article
user_id: '77309'
year: '2025'
...
---
_id: '61222'
author:
- first_name: Michael
full_name: Lenke, Michael
id: '32621'
last_name: Lenke
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Lea
full_name: Biere, Lea
id: '46664'
last_name: Biere
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Lenke M, Klowait N, Biere L, Schulte C. Assessing AI Literacy: A Systematic
Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive, and Ethical
Aspects. In: Lecture Notes in Computer Science. Springer Nature Switzerland;
2025. doi:10.1007/978-3-032-01222-7_8'
apa: 'Lenke, M., Klowait, N., Biere, L., & Schulte, C. (2025). Assessing AI
Literacy: A Systematic Review of Questionnaires with Emphasis on Affective, Behavioral,
Cognitive, and Ethical Aspects. In Lecture Notes in Computer Science. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-032-01222-7_8'
bibtex: '@inbook{Lenke_Klowait_Biere_Schulte_2025, place={Cham}, title={Assessing
AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective,
Behavioral, Cognitive, and Ethical Aspects}, DOI={10.1007/978-3-032-01222-7_8},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Lenke, Michael and Klowait, Nils and Biere, Lea and Schulte, Carsten},
year={2025} }'
chicago: 'Lenke, Michael, Nils Klowait, Lea Biere, and Carsten Schulte. “Assessing
AI Literacy: A Systematic Review of Questionnaires with Emphasis on Affective,
Behavioral, Cognitive, and Ethical Aspects.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-01222-7_8.'
ieee: 'M. Lenke, N. Klowait, L. Biere, and C. Schulte, “Assessing AI Literacy: A
Systematic Review of Questionnaires with Emphasis on Affective, Behavioral, Cognitive,
and Ethical Aspects,” in Lecture Notes in Computer Science, Cham: Springer
Nature Switzerland, 2025.'
mla: 'Lenke, Michael, et al. “Assessing AI Literacy: A Systematic Review of Questionnaires
with Emphasis on Affective, Behavioral, Cognitive, and Ethical Aspects.” Lecture
Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-01222-7_8.'
short: 'M. Lenke, N. Klowait, L. Biere, C. Schulte, in: Lecture Notes in Computer
Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-09-11T14:02:42Z
date_updated: 2025-09-11T14:07:54Z
department:
- _id: '67'
doi: 10.1007/978-3-032-01222-7_8
language:
- iso: eng
place: Cham
project:
- _id: '119'
name: TRR 318 - Project Area Ö
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032012210'
- '9783032012227'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Assessing AI Literacy: A Systematic Review of Questionnaires with Emphasis
on Affective, Behavioral, Cognitive, and Ethical Aspects'
type: book_chapter
user_id: '98454'
year: '2025'
...
---
_id: '61223'
abstract:
- lang: eng
text: 'Contemporary debates about artificial intelligence (AI) still treat
automation as a straightforward substitution of human labor by machines. Drawing
on Goffman’s dramaturgical sociology, this paper reframes AI in the workplace
as supplementary rather than substitutive
automation. We argue that the central—but routinely overlooked—terrain of struggle
is symbolic-interactional: workers continuously stage, conceal, and re-negotiate
what counts as “real” work and professional competence. Large language models
(LLMs) such as ChatGPT exemplify this dynamic. They quietly take over the invisible,
routinised tasks that underpin cognitive occupations (editing, summarizing, first-draft
production) while leaving humans to enact the highly visible or relational facets
that sustain occupational prestige. Drawing on diverse sources to illustrate our
theoretical argument, we show how individual workers, dramaturgical teams, and
entire professional fields manage impressions of expertise in order to counter
status threats, renegotiate fees, or obscure the extent of AI assistance. The
paper itself, having been intentionally written with the ‘aid’ of all presently
available frontier AI models, serves as a meta-reflexive performance of professional
self-staging. The dramaturgical framework clarifies why utopian tales of friction-free
augmentation and dystopian narratives of total displacement both misread how automation
is actually unfolding. By foregrounding visibility, obfuscation, and impression
management, the article presents a differentiated case for AI’s impact on the
performative structure of work, outlines diagnostic tools for assessing real-world
AI exposure beyond hype-driven headlines, and argues for a more human-centered
basis for evaluating policy responses to the ‘fourth industrial revolution.’ In
short, AI enters the labor process not as an autonomous actor, but as a prop within
an ongoing social performance—one whose scripts, stages, and audiences remain
irreducibly human.'
article_number: '1614473'
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
citation:
ama: Klowait N, Erofeeva M. The presentation of self in the age of ChatGPT. Frontiers
in Sociology. 2025;10. doi:10.3389/fsoc.2025.1614473
apa: Klowait, N., & Erofeeva, M. (2025). The presentation of self in the age
of ChatGPT. Frontiers in Sociology, 10, Article 1614473. https://doi.org/10.3389/fsoc.2025.1614473
bibtex: '@article{Klowait_Erofeeva_2025, title={The presentation of self in the
age of ChatGPT}, volume={10}, DOI={10.3389/fsoc.2025.1614473},
number={1614473}, journal={Frontiers in Sociology}, publisher={Frontiers Media
SA}, author={Klowait, Nils and Erofeeva, Maria}, year={2025} }'
chicago: Klowait, Nils, and Maria Erofeeva. “The Presentation of Self in the Age
of ChatGPT.” Frontiers in Sociology 10 (2025). https://doi.org/10.3389/fsoc.2025.1614473.
ieee: 'N. Klowait and M. Erofeeva, “The presentation of self in the age of ChatGPT,”
Frontiers in Sociology, vol. 10, Art. no. 1614473, 2025, doi: 10.3389/fsoc.2025.1614473.'
mla: Klowait, Nils, and Maria Erofeeva. “The Presentation of Self in the Age of
ChatGPT.” Frontiers in Sociology, vol. 10, 1614473, Frontiers Media SA,
2025, doi:10.3389/fsoc.2025.1614473.
short: N. Klowait, M. Erofeeva, Frontiers in Sociology 10 (2025).
date_created: 2025-09-11T14:08:31Z
date_updated: 2025-09-11T14:10:30Z
department:
- _id: '603'
doi: 10.3389/fsoc.2025.1614473
intvolume: ' 10'
language:
- iso: eng
project:
- _id: '119'
name: TRR 318 - Project Area Ö
publication: Frontiers in Sociology
publication_identifier:
issn:
- 2297-7775
publication_status: published
publisher: Frontiers Media SA
status: public
title: The presentation of self in the age of ChatGPT
type: journal_article
user_id: '98454'
volume: 10
year: '2025'
...
---
_id: '61226'
author:
- first_name: Maria
full_name: Erofeeva, Maria
last_name: Erofeeva
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Mikael
full_name: Belov, Mikael
last_name: Belov
- first_name: Yoann
full_name: Soulié, Yoann
last_name: Soulié
citation:
ama: 'Erofeeva M, Klowait N, Belov M, Soulié Y. Leveraging VR Tools for Inclusive
Education: Implications from Sign Language Learning in VRChat. In: Communications
in Computer and Information Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-98080-0_10'
apa: 'Erofeeva, M., Klowait, N., Belov, M., & Soulié, Y. (2025). Leveraging
VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat.
In Communications in Computer and Information Science. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-98080-0_10'
bibtex: '@inbook{Erofeeva_Klowait_Belov_Soulié_2025, place={Cham}, title={Leveraging
VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat},
DOI={10.1007/978-3-031-98080-0_10},
booktitle={Communications in Computer and Information Science}, publisher={Springer
Nature Switzerland}, author={Erofeeva, Maria and Klowait, Nils and Belov, Mikael
and Soulié, Yoann}, year={2025} }'
chicago: 'Erofeeva, Maria, Nils Klowait, Mikael Belov, and Yoann Soulié. “Leveraging
VR Tools for Inclusive Education: Implications from Sign Language Learning in VRChat.”
In Communications in Computer and Information Science. Cham: Springer Nature
Switzerland, 2025. https://doi.org/10.1007/978-3-031-98080-0_10.'
ieee: 'M. Erofeeva, N. Klowait, M. Belov, and Y. Soulié, “Leveraging VR Tools for Inclusive
Education: Implications from Sign Language Learning in VRChat,” in Communications
in Computer and Information Science, Cham: Springer Nature Switzerland, 2025.'
mla: 'Erofeeva, Maria, et al. “Leveraging VR Tools for Inclusive Education: Implications
from Sign Language Learning in VRChat.” Communications in Computer and Information
Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-98080-0_10.'
short: 'M. Erofeeva, N. Klowait, M. Belov, Y. Soulié, in: Communications in Computer
and Information Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-09-11T14:11:31Z
date_updated: 2025-09-11T14:11:47Z
department:
- _id: '603'
doi: 10.1007/978-3-031-98080-0_10
language:
- iso: eng
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783031980794'
- '9783031980800'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Leveraging VR Tools for Inclusive Education: Implications from Sign Language
Learning in VRChat'
type: book_chapter
user_id: '98454'
year: '2025'
...
---
_id: '61229'
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Paolo
full_name: Frazzetto, Paolo
last_name: Frazzetto
- first_name: Janine
full_name: Strotherm, Janine
last_name: Strotherm
- first_name: Luca
full_name: Hermes, Luca
last_name: Hermes
- first_name: Alessandro
full_name: Sperduti, Alessandro
last_name: Sperduti
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Muschalik M, Fumagalli F, Frazzetto P, et al. Exact Computation of Any-Order
Shapley Interactions for Graph Neural Networks. In: The Thirteenth International
Conference on Learning Representations (ICLR). ; 2025.'
apa: Muschalik, M., Fumagalli, F., Frazzetto, P., Strotherm, J., Hermes, L., Sperduti,
A., Hüllermeier, E., & Hammer, B. (2025). Exact Computation of Any-Order Shapley
Interactions for Graph Neural Networks. The Thirteenth International Conference
on Learning Representations (ICLR).
bibtex: '@inproceedings{Muschalik_Fumagalli_Frazzetto_Strotherm_Hermes_Sperduti_Hüllermeier_Hammer_2025,
title={Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks},
booktitle={The Thirteenth International Conference on Learning Representations
(ICLR)}, author={Muschalik, Maximilian and Fumagalli, Fabian and Frazzetto, Paolo
and Strotherm, Janine and Hermes, Luca and Sperduti, Alessandro and Hüllermeier,
Eyke and Hammer, Barbara}, year={2025} }'
chicago: Muschalik, Maximilian, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm,
Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, and Barbara Hammer. “Exact
Computation of Any-Order Shapley Interactions for Graph Neural Networks.” In The
Thirteenth International Conference on Learning Representations (ICLR), 2025.
ieee: M. Muschalik et al., “Exact Computation of Any-Order Shapley Interactions
for Graph Neural Networks,” 2025.
mla: Muschalik, Maximilian, et al. “Exact Computation of Any-Order Shapley Interactions
for Graph Neural Networks.” The Thirteenth International Conference on Learning
Representations (ICLR), 2025.
short: 'M. Muschalik, F. Fumagalli, P. Frazzetto, J. Strotherm, L. Hermes, A. Sperduti,
E. Hüllermeier, B. Hammer, in: The Thirteenth International Conference on Learning
Representations (ICLR), 2025.'
date_created: 2025-09-11T15:44:54Z
date_updated: 2025-09-11T16:14:54Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
publication: The Thirteenth International Conference on Learning Representations (ICLR)
status: public
title: Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
type: conference
user_id: '93420'
year: '2025'
...
---
_id: '61232'
author:
- first_name: Roel
full_name: Visser, Roel
last_name: Visser
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Visser R, Fumagalli F, Hüllermeier E, Hammer B. Explaining Outliers using
Isolation Forest and Shapley Interactions. In: Proceedings of the European
Symposium on Artificial Neural Networks (ESANN). ; 2025.'
apa: Visser, R., Fumagalli, F., Hüllermeier, E., & Hammer, B. (2025). Explaining
Outliers using Isolation Forest and Shapley Interactions. Proceedings of the
European Symposium on Artificial Neural Networks (ESANN).
bibtex: '@inproceedings{Visser_Fumagalli_Hüllermeier_Hammer_2025, title={Explaining
Outliers using Isolation Forest and Shapley Interactions}, booktitle={Proceedings
of the European Symposium on Artificial Neural Networks (ESANN)}, author={Visser,
Roel and Fumagalli, Fabian and Hüllermeier, Eyke and Hammer, Barbara}, year={2025}
}'
chicago: Visser, Roel, Fabian Fumagalli, Eyke Hüllermeier, and Barbara Hammer. “Explaining
Outliers Using Isolation Forest and Shapley Interactions.” In Proceedings of
the European Symposium on Artificial Neural Networks (ESANN), 2025.
ieee: R. Visser, F. Fumagalli, E. Hüllermeier, and B. Hammer, “Explaining Outliers
using Isolation Forest and Shapley Interactions,” 2025.
mla: Visser, Roel, et al. “Explaining Outliers Using Isolation Forest and Shapley
Interactions.” Proceedings of the European Symposium on Artificial Neural Networks
(ESANN), 2025.
short: 'R. Visser, F. Fumagalli, E. Hüllermeier, B. Hammer, in: Proceedings of the
European Symposium on Artificial Neural Networks (ESANN), 2025.'
date_created: 2025-09-11T15:53:02Z
date_updated: 2025-09-11T15:56:22Z
department:
- _id: '660'
keyword:
- FF
language:
- iso: eng
project:
- _id: '117'
name: TRR 318 - Project Area C
- _id: '126'
name: TRR 318 - Subproject C3
- _id: '109'
name: 'TRR 318: Erklärbarkeit konstruieren'
- _id: '124'
name: 'TRR 318 ; TP C01: Gesundes Misstrauen in Erklärungen'
publication: Proceedings of the European Symposium on Artificial Neural Networks (ESANN)
status: public
title: Explaining Outliers using Isolation Forest and Shapley Interactions
type: conference
user_id: '93420'
year: '2025'
...
---
_id: '61231'
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
- first_name: Julia
full_name: Herbinger, Julia
last_name: Herbinger
citation:
ama: 'Fumagalli F, Muschalik M, Hüllermeier E, Hammer B, Herbinger J. Unifying Feature-Based
Explanations with Functional ANOVA and Cooperative Game Theory. In: Proceedings
of The 28th International Conference on Artificial Intelligence and Statistics
(AISTATS). Vol 258. Proceedings of Machine Learning Research. PMLR; 2025:5140-5148.'
apa: Fumagalli, F., Muschalik, M., Hüllermeier, E., Hammer, B., & Herbinger,
J. (2025). Unifying Feature-Based Explanations with Functional ANOVA and Cooperative
Game Theory. Proceedings of The 28th International Conference on Artificial
Intelligence and Statistics (AISTATS), 258, 5140–5148.
bibtex: '@inproceedings{Fumagalli_Muschalik_Hüllermeier_Hammer_Herbinger_2025, series={Proceedings
of Machine Learning Research}, title={Unifying Feature-Based Explanations with
Functional ANOVA and Cooperative Game Theory}, volume={258}, booktitle={Proceedings
of The 28th International Conference on Artificial Intelligence and Statistics
(AISTATS)}, publisher={PMLR}, author={Fumagalli, Fabian and Muschalik, Maximilian
and Hüllermeier, Eyke and Hammer, Barbara and Herbinger, Julia}, year={2025},
pages={5140–5148}, collection={Proceedings of Machine Learning Research} }'
chicago: Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer,
and Julia Herbinger. “Unifying Feature-Based Explanations with Functional ANOVA
and Cooperative Game Theory.” In Proceedings of The 28th International Conference
on Artificial Intelligence and Statistics (AISTATS), 258:5140–48. Proceedings
of Machine Learning Research. PMLR, 2025.
ieee: F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, and J. Herbinger, “Unifying
Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory,”
in Proceedings of The 28th International Conference on Artificial Intelligence
and Statistics (AISTATS), 2025, vol. 258, pp. 5140–5148.
mla: Fumagalli, Fabian, et al. “Unifying Feature-Based Explanations with Functional
ANOVA and Cooperative Game Theory.” Proceedings of The 28th International Conference
on Artificial Intelligence and Statistics (AISTATS), vol. 258, PMLR, 2025,
pp. 5140–48.
short: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, J. Herbinger, in:
Proceedings of The 28th International Conference on Artificial Intelligence and
Statistics (AISTATS), PMLR, 2025, pp. 5140–5148.'
date_created: 2025-09-11T15:48:55Z
date_updated: 2025-09-11T16:24:33Z
department:
- _id: '660'
intvolume: ' 258'
language:
- iso: eng
page: 5140-5148
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 28th International Conference on Artificial Intelligence
and Statistics (AISTATS)
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game
Theory
type: conference
user_id: '93420'
volume: 258
year: '2025'
...
---
_id: '61153'
author:
- first_name: Meisam
full_name: Booshehri, Meisam
id: '93424'
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 BFO-based ontology of context for
Social XAI. In: Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations.
; 2025.'
apa: 'Booshehri, M., Buschmeier, H., & Cimiano, P. (2025). A BFO-based ontology
of context for Social XAI. Abstracts of the 3rd TRR 318 Conference: Contextualizing
Explanations. 3rd TRR 318 Conference: Contextualizing Explanations, Bielefeld,
Germany.'
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2025, title={A BFO-based ontology
of context for Social XAI}, booktitle={Abstracts of the 3rd TRR 318 Conference:
Contextualizing Explanations}, author={Booshehri, Meisam and Buschmeier, Hendrik
and Cimiano, Philipp}, year={2025} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A BFO-Based
Ontology of Context for Social XAI.” In Abstracts of the 3rd TRR 318 Conference:
Contextualizing Explanations, 2025.'
ieee: 'M. Booshehri, H. Buschmeier, and P. Cimiano, “A BFO-based ontology of context
for Social XAI,” presented at the 3rd TRR 318 Conference: Contextualizing Explanations,
Bielefeld, Germany, 2025.'
mla: 'Booshehri, Meisam, et al. “A BFO-Based Ontology of Context for Social XAI.”
Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations,
2025.'
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Abstracts of the 3rd TRR 318
Conference: Contextualizing Explanations, 2025.'
conference:
end_date: 2025-06-18
location: Bielefeld, Germany
name: '3rd TRR 318 Conference: Contextualizing Explanations'
start_date: 2025-06-17
date_created: 2025-09-08T14:15:42Z
date_updated: 2025-09-12T06:29:37Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: 'Abstracts of the 3rd TRR 318 Conference: Contextualizing Explanations'
quality_controlled: '1'
status: public
title: A BFO-based ontology of context for Social XAI
type: conference_abstract
user_id: '76456'
year: '2025'
...
---
_id: '61234'
abstract:
- lang: eng
text: "The ability to generate explanations that are understood by explainees is
the\r\nquintessence of explainable artificial intelligence. Since understanding\r\ndepends
on the explainee's background and needs, recent research focused on\r\nco-constructive
explanation dialogues, where an explainer continuously monitors\r\nthe explainee's
understanding and adapts their explanations dynamically. We\r\ninvestigate the
ability of large language models (LLMs) to engage as explainers\r\nin co-constructive
explanation dialogues. In particular, we present a user\r\nstudy in which explainees
interact with an LLM in two settings, one of which\r\ninvolves the LLM being instructed
to explain a topic co-constructively. We\r\nevaluate the explainees' understanding
before and after the dialogue, as well\r\nas their perception of the LLMs' co-constructive
behavior. Our results suggest\r\nthat LLMs show some co-constructive behaviors,
such as asking verification\r\nquestions, that foster the explainees' engagement
and can improve understanding\r\nof a topic. However, their ability to effectively
monitor the current\r\nunderstanding and scaffold the explanations accordingly
remains limited."
author:
- first_name: Leandra
full_name: Fichtel, Leandra
last_name: Fichtel
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Patricia
full_name: Jimenez, Patricia
id: '103339'
last_name: Jimenez
- first_name: Nils
full_name: Klowait, Nils
id: '98454'
last_name: Klowait
orcid: 0000-0002-7347-099X
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Amelie
full_name: Robrecht, Amelie
id: '91982'
last_name: Robrecht
orcid: 0000-0001-5622-8248
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Lutz
full_name: Terfloth, Lutz
id: '37320'
last_name: Terfloth
- first_name: Anna-Lisa
full_name: Vollmer, Anna-Lisa
id: '86589'
last_name: Vollmer
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Fichtel L, Spliethöver M, Hüllermeier E, et al. Investigating Co-Constructive
Behavior of Large Language Models in Explanation Dialogues. In: Proceedings
of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Association for Computational Linguistics.'
apa: Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp,
S., Ngonga Ngomo, A.-C., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A.-L.,
& Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language
Models in Explanation Dialogues. Proceedings of the 26th Annual Meeting of
the Special Interest Group on Discourse and Dialogue. Annual Meeting of the
Special Interest Group on Discourse and Dialogue.
bibtex: '@inproceedings{Fichtel_Spliethöver_Hüllermeier_Jimenez_Klowait_Kopp_Ngonga
Ngomo_Robrecht_Scharlau_Terfloth_et al., place={Avignon, France}, title={Investigating
Co-Constructive Behavior of Large Language Models in Explanation Dialogues},
booktitle={Proceedings of the 26th Annual Meeting of the Special Interest Group
on Discourse and Dialogue}, publisher={Association for Computational Linguistics},
author={Fichtel, Leandra and Spliethöver, Maximilian and Hüllermeier, Eyke and
Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille
and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and et al.} }'
chicago: 'Fichtel, Leandra, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez,
Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, et al. “Investigating Co-Constructive
Behavior of Large Language Models in Explanation Dialogues.” In Proceedings
of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Avignon, France: Association for Computational Linguistics, n.d.'
ieee: L. Fichtel et al., “Investigating Co-Constructive Behavior of Large
Language Models in Explanation Dialogues,” presented at the Annual Meeting of
the Special Interest Group on Discourse and Dialogue.
mla: Fichtel, Leandra, et al. “Investigating Co-Constructive Behavior of Large Language
Models in Explanation Dialogues.” Proceedings of the 26th Annual Meeting of
the Special Interest Group on Discourse and Dialogue, Association for Computational
Linguistics.
short: 'L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp,
A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth,
in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse
and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.'
conference:
name: Annual Meeting of the Special Interest Group on Discourse and Dialogue
date_created: 2025-09-11T16:11:17Z
date_updated: 2025-09-12T09:50:48Z
department:
- _id: '660'
external_id:
arxiv:
- '2504.18483'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2504.18483
oa: '1'
place: Avignon, France
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '121'
name: 'TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des
maschinellen Lernens'
- _id: '127'
name: 'TRR 318; TP C04: Metaphern als Werkzeug des Erklärens'
- _id: '122'
name: TRR 318 - Subproject B3
- _id: '119'
name: TRR 318 - Project Area Ö
- _id: '114'
name: 'TRR 318; TP A04: Integration des technischen Modells in das Partnermodell
bei der Erklärung von digitalen Artefakten'
publication: Proceedings of the 26th Annual Meeting of the Special Interest Group
on Discourse and Dialogue
publication_status: accepted
publisher: Association for Computational Linguistics
related_material:
link:
- relation: software
url: https://github.com/webis-de/sigdial25-co-constructive-llms
- relation: research_data
url: https://github.com/webis-de/sigdial25-co-constructive-llms-data
status: public
title: Investigating Co-Constructive Behavior of Large Language Models in Explanation
Dialogues
type: conference
user_id: '84035'
year: '2025'
...
---
_id: '59856'
abstract:
- lang: eng
text: Recent advances on instruction fine-tuning have led to the development of
various prompting techniques for large language models, such as explicit reasoning
steps. However, the success of techniques depends on various parameters, such
as the task, language model, and context provided. Finding an effective prompt
is, therefore, often a trial-and-error process. Most existing approaches to automatic
prompting aim to optimize individual techniques instead of compositions of techniques
and their dependence on the input. To fill this gap, we propose an adaptive prompting
approach that predicts the optimal prompt composition ad-hoc for a given input.
We apply our approach to social bias detection, a highly context-dependent task
that requires semantic understanding. We evaluate it with three large language
models on three datasets, comparing compositions to individual techniques and
other baselines. The results underline the importance of finding an effective
prompt composition. Our approach robustly ensures high detection performance,
and is best in several settings. Moreover, first experiments on other tasks support
its generalizability.
author:
- first_name: Maximilian
full_name: Spliethöver, Maximilian
id: '84035'
last_name: Spliethöver
orcid: 0000-0003-4364-1409
- first_name: Tim
full_name: Knebler, Tim
last_name: Knebler
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Spliethöver M, Knebler T, Fumagalli F, et al. Adaptive Prompting: Ad-hoc Prompt
Composition for Social Bias Detection. In: Chiruzzo L, Ritter A, Wang L, eds.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of
the Association for Computational Linguistics: Human Language Technologies (Volume
1: Long Papers). Association for Computational Linguistics; 2025:2421–2449.'
apa: 'Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier,
E., & Wachsmuth, H. (2025). Adaptive Prompting: Ad-hoc Prompt Composition
for Social Bias Detection. In L. Chiruzzo, A. Ritter, & L. Wang (Eds.), Proceedings
of the 2025 Conference of the Nations of the Americas Chapter of the Association
for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
(pp. 2421–2449). Association for Computational Linguistics.'
bibtex: '@inproceedings{Spliethöver_Knebler_Fumagalli_Muschalik_Hammer_Hüllermeier_Wachsmuth_2025,
place={Albuquerque, New Mexico}, title={Adaptive Prompting: Ad-hoc Prompt Composition
for Social Bias Detection}, booktitle={Proceedings of the 2025 Conference of the
Nations of the Americas Chapter of the Association for Computational Linguistics:
Human Language Technologies (Volume 1: Long Papers)}, publisher={Association for
Computational Linguistics}, author={Spliethöver, Maximilian and Knebler, Tim and
Fumagalli, Fabian and Muschalik, Maximilian and Hammer, Barbara and Hüllermeier,
Eyke and Wachsmuth, Henning}, editor={Chiruzzo, Luis and Ritter, Alan and Wang,
Lu}, year={2025}, pages={2421–2449} }'
chicago: 'Spliethöver, Maximilian, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik,
Barbara Hammer, Eyke Hüllermeier, and Henning Wachsmuth. “Adaptive Prompting:
Ad-Hoc Prompt Composition for Social Bias Detection.” In Proceedings of the
2025 Conference of the Nations of the Americas Chapter of the Association for
Computational Linguistics: Human Language Technologies (Volume 1: Long Papers),
edited by Luis Chiruzzo, Alan Ritter, and Lu Wang, 2421–2449. Albuquerque, New
Mexico: Association for Computational Linguistics, 2025.'
ieee: 'M. Spliethöver et al., “Adaptive Prompting: Ad-hoc Prompt Composition
for Social Bias Detection,” in Proceedings of the 2025 Conference of the Nations
of the Americas Chapter of the Association for Computational Linguistics: Human
Language Technologies (Volume 1: Long Papers), 2025, pp. 2421–2449.'
mla: 'Spliethöver, Maximilian, et al. “Adaptive Prompting: Ad-Hoc Prompt Composition
for Social Bias Detection.” Proceedings of the 2025 Conference of the Nations
of the Americas Chapter of the Association for Computational Linguistics: Human
Language Technologies (Volume 1: Long Papers), edited by Luis Chiruzzo et
al., Association for Computational Linguistics, 2025, pp. 2421–2449.'
short: 'M. Spliethöver, T. Knebler, F. Fumagalli, M. Muschalik, B. Hammer, E. Hüllermeier,
H. Wachsmuth, in: L. Chiruzzo, A. Ritter, L. Wang (Eds.), Proceedings of the 2025
Conference of the Nations of the Americas Chapter of the Association for Computational
Linguistics: Human Language Technologies (Volume 1: Long Papers), Association
for Computational Linguistics, Albuquerque, New Mexico, 2025, pp. 2421–2449.'
date_created: 2025-05-10T12:37:45Z
date_updated: 2025-09-12T09:51:30Z
department:
- _id: '660'
editor:
- first_name: Luis
full_name: Chiruzzo, Luis
last_name: Chiruzzo
- first_name: Alan
full_name: Ritter, Alan
last_name: Ritter
- first_name: Lu
full_name: Wang, Lu
last_name: Wang
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aclanthology.org/2025.naacl-long.122/
oa: '1'
page: 2421–2449
place: Albuquerque, New Mexico
project:
- _id: '118'
name: 'TRR 318: Project Area INF'
- _id: '126'
name: TRR 318 - Subproject C3
publication: 'Proceedings of the 2025 Conference of the Nations of the Americas Chapter
of the Association for Computational Linguistics: Human Language Technologies (Volume
1: Long Papers)'
publication_identifier:
isbn:
- 979-8-89176-189-6
publication_status: published
publisher: Association for Computational Linguistics
related_material:
link:
- relation: software
url: https://github.com/webis-de/naacl25-prompt-compositions
status: public
title: 'Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection'
type: conference
user_id: '84035'
year: '2025'
...
---
_id: '61241'
abstract:
- lang: eng
text: "Abstract\r\n Given the presence
of fake news and pseudoscience (often disguised as physics), the importance of
inoculating citizens against this type of misinformation has gained increasing
attention in education. This is a goal that all subjects should pursue equally
from their respective disciplinary perspectives. 
The paper presents a
teaching approach to protect physics students from misinformation and pseudoscience
by combining these three common strategies: First, understanding the fundamental
principles of the Nature of Science. Second, identifying techniques of Science
Denial. And third, applying heuristics for evaluating (supposedly) scientific
information. Finally, the paper offers practical suggestions for applying these
strategies in a master's-level physics course, using examples from the field of
physics."
author:
- first_name: Yvonne
full_name: Webersen, Yvonne
id: '9605'
last_name: Webersen
- first_name: Josef
full_name: Riese, Josef
id: '429'
last_name: Riese
orcid: 0000-0003-2927-2619
citation:
ama: Webersen Y, Riese J. Protecting physics students from pseudoscience - combining
strategies for a comprehensive teaching approach. European Journal of Physics.
Published online 2025. doi:10.1088/1361-6404/ae03f6
apa: Webersen, Y., & Riese, J. (2025). Protecting physics students from pseudoscience
- combining strategies for a comprehensive teaching approach. European Journal
of Physics. https://doi.org/10.1088/1361-6404/ae03f6
bibtex: '@article{Webersen_Riese_2025, title={Protecting physics students from pseudoscience
- combining strategies for a comprehensive teaching approach}, DOI={10.1088/1361-6404/ae03f6},
journal={European Journal of Physics}, publisher={IOP Publishing}, author={Webersen,
Yvonne and Riese, Josef}, year={2025} }'
chicago: Webersen, Yvonne, and Josef Riese. “Protecting Physics Students from Pseudoscience
- Combining Strategies for a Comprehensive Teaching Approach.” European Journal
of Physics, 2025. https://doi.org/10.1088/1361-6404/ae03f6.
ieee: 'Y. Webersen and J. Riese, “Protecting physics students from pseudoscience
- combining strategies for a comprehensive teaching approach,” European Journal
of Physics, 2025, doi: 10.1088/1361-6404/ae03f6.'
mla: Webersen, Yvonne, and Josef Riese. “Protecting Physics Students from Pseudoscience
- Combining Strategies for a Comprehensive Teaching Approach.” European Journal
of Physics, IOP Publishing, 2025, doi:10.1088/1361-6404/ae03f6.
short: Y. Webersen, J. Riese, European Journal of Physics (2025).
date_created: 2025-09-12T08:17:46Z
date_updated: 2025-09-12T08:21:26Z
department:
- _id: '299'
doi: 10.1088/1361-6404/ae03f6
language:
- iso: eng
publication: European Journal of Physics
publication_identifier:
issn:
- 0143-0807
- 1361-6404
publication_status: published
publisher: IOP Publishing
status: public
title: Protecting physics students from pseudoscience - combining strategies for a
comprehensive teaching approach
type: journal_article
user_id: '9605'
year: '2025'
...
---
_id: '61245'
article_number: '032404'
author:
- first_name: Franziska
full_name: Barkhausen, Franziska
id: '63631'
last_name: Barkhausen
- first_name: Laura
full_name: Ares Santos, Laura
last_name: Ares Santos
- first_name: Stefan
full_name: Schumacher, Stefan
id: '27271'
last_name: Schumacher
orcid: 0000-0003-4042-4951
- first_name: Jan
full_name: Sperling, Jan
id: '75127'
last_name: Sperling
orcid: 0000-0002-5844-3205
citation:
ama: 'Barkhausen F, Ares Santos L, Schumacher S, Sperling J. Entanglement between
dependent degrees of freedom: Quasiparticle correlations. Physical Review A.
2025;111(3). doi:10.1103/physreva.111.032404'
apa: 'Barkhausen, F., Ares Santos, L., Schumacher, S., & Sperling, J. (2025).
Entanglement between dependent degrees of freedom: Quasiparticle correlations.
Physical Review A, 111(3), Article 032404. https://doi.org/10.1103/physreva.111.032404'
bibtex: '@article{Barkhausen_Ares Santos_Schumacher_Sperling_2025, title={Entanglement
between dependent degrees of freedom: Quasiparticle correlations}, volume={111},
DOI={10.1103/physreva.111.032404},
number={3032404}, journal={Physical Review A}, publisher={American Physical Society
(APS)}, author={Barkhausen, Franziska and Ares Santos, Laura and Schumacher, Stefan
and Sperling, Jan}, year={2025} }'
chicago: 'Barkhausen, Franziska, Laura Ares Santos, Stefan Schumacher, and Jan Sperling.
“Entanglement between Dependent Degrees of Freedom: Quasiparticle Correlations.”
Physical Review A 111, no. 3 (2025). https://doi.org/10.1103/physreva.111.032404.'
ieee: 'F. Barkhausen, L. Ares Santos, S. Schumacher, and J. Sperling, “Entanglement
between dependent degrees of freedom: Quasiparticle correlations,” Physical
Review A, vol. 111, no. 3, Art. no. 032404, 2025, doi: 10.1103/physreva.111.032404.'
mla: 'Barkhausen, Franziska, et al. “Entanglement between Dependent Degrees of Freedom:
Quasiparticle Correlations.” Physical Review A, vol. 111, no. 3, 032404,
American Physical Society (APS), 2025, doi:10.1103/physreva.111.032404.'
short: F. Barkhausen, L. Ares Santos, S. Schumacher, J. Sperling, Physical Review
A 111 (2025).
date_created: 2025-09-12T10:37:34Z
date_updated: 2025-09-12T10:42:16Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '706'
- _id: '35'
- _id: '230'
- _id: '623'
- _id: '429'
doi: 10.1103/physreva.111.032404
intvolume: ' 111'
issue: '3'
language:
- iso: eng
project:
- _id: '53'
name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
zu funktionellen Strukturen'
- _id: '54'
name: TRR 142 - Project Area A
- _id: '56'
name: TRR 142 - Project Area C
- _id: '61'
name: 'TRR 142; TP A04: Nichtlineare Quantenprozesstomographie und Photonik mit
Polaritonen in Mikrokavitäten'
- _id: '174'
name: 'TRR 142 ; TP: C10: Erzeugung und Charakterisierung von Quantenlicht in nichtlinearen
Systemen: Eine theoretische Analyse'
- _id: '266'
name: 'PhoQC: Photonisches Quantencomputing'
publication: Physical Review A
publication_identifier:
issn:
- 2469-9926
- 2469-9934
publication_status: published
publisher: American Physical Society (APS)
status: public
title: 'Entanglement between dependent degrees of freedom: Quasiparticle correlations'
type: journal_article
user_id: '16199'
volume: 111
year: '2025'
...
---
_id: '61246'
abstract:
- lang: eng
text: "Abstract\r\n The time-dependent
one-dimensional nonlinear Schrödinger equation (NLSE) is solved numerically by
a hybrid pseudospectral-variational quantum algorithm that connects a pseudospectral
step for the Hamiltonian term with a variational step for the nonlinear term.
The Hamiltonian term is treated as an integrating factor by forward and backward
Fourier transforms, which are here carried out classically. This split allows
us to avoid higher-order time integration schemes, to apply a first-order explicit
time stepping for the remaining nonlinear NLSE term in a variational algorithm
block, and thus to avoid numerical instabilities. We demonstrate that the analytical
solution is reproduced with a small root mean square error for a long time interval
over which a nonlinear soliton propagates significantly forward in space while
keeping its shape. We analyze the accuracy and complexity of the quantum algorithm,
the expressibility of the ansatz circuit and compare it with classical approaches.
Furthermore, we investigate the influence of algorithm parameters on the accuracy
of the results, including the temporal step width and the depth of the quantum
circuit."
article_number: '23478'
author:
- first_name: Nikolas
full_name: Köcher, Nikolas
id: '79191'
last_name: Köcher
- first_name: Hendrik
full_name: Rose, Hendrik
id: '55958'
last_name: Rose
orcid: 0000-0002-3079-5428
- first_name: Sachin S.
full_name: Bharadwaj, Sachin S.
last_name: Bharadwaj
- first_name: Jörg
full_name: Schumacher, Jörg
last_name: Schumacher
- first_name: Stefan
full_name: Schumacher, Stefan
id: '27271'
last_name: Schumacher
orcid: 0000-0003-4042-4951
citation:
ama: Köcher N, Rose H, Bharadwaj SS, Schumacher J, Schumacher S. Numerical solution
of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum
algorithm. Scientific Reports. 2025;15(1). doi:10.1038/s41598-025-05660-3
apa: Köcher, N., Rose, H., Bharadwaj, S. S., Schumacher, J., & Schumacher, S.
(2025). Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational
quantum algorithm. Scientific Reports, 15(1), Article 23478. https://doi.org/10.1038/s41598-025-05660-3
bibtex: '@article{Köcher_Rose_Bharadwaj_Schumacher_Schumacher_2025, title={Numerical
solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational
quantum algorithm}, volume={15}, DOI={10.1038/s41598-025-05660-3},
number={123478}, journal={Scientific Reports}, publisher={Springer Science and
Business Media LLC}, author={Köcher, Nikolas and Rose, Hendrik and Bharadwaj,
Sachin S. and Schumacher, Jörg and Schumacher, Stefan}, year={2025} }'
chicago: Köcher, Nikolas, Hendrik Rose, Sachin S. Bharadwaj, Jörg Schumacher, and
Stefan Schumacher. “Numerical Solution of Nonlinear Schrödinger Equation by a
Hybrid Pseudospectral-Variational Quantum Algorithm.” Scientific Reports
15, no. 1 (2025). https://doi.org/10.1038/s41598-025-05660-3.
ieee: 'N. Köcher, H. Rose, S. S. Bharadwaj, J. Schumacher, and S. Schumacher, “Numerical
solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational
quantum algorithm,” Scientific Reports, vol. 15, no. 1, Art. no. 23478,
2025, doi: 10.1038/s41598-025-05660-3.'
mla: Köcher, Nikolas, et al. “Numerical Solution of Nonlinear Schrödinger Equation
by a Hybrid Pseudospectral-Variational Quantum Algorithm.” Scientific Reports,
vol. 15, no. 1, 23478, Springer Science and Business Media LLC, 2025, doi:10.1038/s41598-025-05660-3.
short: N. Köcher, H. Rose, S.S. Bharadwaj, J. Schumacher, S. Schumacher, Scientific
Reports 15 (2025).
date_created: 2025-09-12T10:43:29Z
date_updated: 2025-09-12T10:57:22Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '35'
- _id: '230'
- _id: '27'
doi: 10.1038/s41598-025-05660-3
intvolume: ' 15'
issue: '1'
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '445'
name: Hochleistungsrechner Noctua in Paderborn
publication: Scientific Reports
publication_identifier:
issn:
- 2045-2322
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational
quantum algorithm
type: journal_article
user_id: '16199'
volume: 15
year: '2025'
...
---
_id: '61249'
article_number: '024029'
author:
- first_name: Qiang
full_name: Ai, Qiang
last_name: Ai
- first_name: Jan
full_name: Wingenbach, Jan
id: '69187'
last_name: Wingenbach
- first_name: Xinmiao
full_name: Yang, Xinmiao
last_name: Yang
- first_name: Jing
full_name: Wei, Jing
last_name: Wei
- first_name: Zaharias
full_name: Hatzopoulos, Zaharias
last_name: Hatzopoulos
- first_name: Pavlos G.
full_name: Savvidis, Pavlos G.
last_name: Savvidis
- 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
- first_name: Tingge
full_name: Gao, Tingge
last_name: Gao
citation:
ama: Ai Q, Wingenbach J, Yang X, et al. Optically and remotely controlling localization
of exciton-polariton condensates in a potential lattice. Physical Review Applied.
2025;23(2). doi:10.1103/physrevapplied.23.024029
apa: Ai, Q., Wingenbach, J., Yang, X., Wei, J., Hatzopoulos, Z., Savvidis, P. G.,
Schumacher, S., Ma, X., & Gao, T. (2025). Optically and remotely controlling
localization of exciton-polariton condensates in a potential lattice. Physical
Review Applied, 23(2), Article 024029. https://doi.org/10.1103/physrevapplied.23.024029
bibtex: '@article{Ai_Wingenbach_Yang_Wei_Hatzopoulos_Savvidis_Schumacher_Ma_Gao_2025,
title={Optically and remotely controlling localization of exciton-polariton condensates
in a potential lattice}, volume={23}, DOI={10.1103/physrevapplied.23.024029},
number={2024029}, journal={Physical Review Applied}, publisher={American Physical
Society (APS)}, author={Ai, Qiang and Wingenbach, Jan and Yang, Xinmiao and Wei,
Jing and Hatzopoulos, Zaharias and Savvidis, Pavlos G. and Schumacher, Stefan
and Ma, Xuekai and Gao, Tingge}, year={2025} }'
chicago: Ai, Qiang, Jan Wingenbach, Xinmiao Yang, Jing Wei, Zaharias Hatzopoulos,
Pavlos G. Savvidis, Stefan Schumacher, Xuekai Ma, and Tingge Gao. “Optically and
Remotely Controlling Localization of Exciton-Polariton Condensates in a Potential
Lattice.” Physical Review Applied 23, no. 2 (2025). https://doi.org/10.1103/physrevapplied.23.024029.
ieee: 'Q. Ai et al., “Optically and remotely controlling localization of
exciton-polariton condensates in a potential lattice,” Physical Review Applied,
vol. 23, no. 2, Art. no. 024029, 2025, doi: 10.1103/physrevapplied.23.024029.'
mla: Ai, Qiang, et al. “Optically and Remotely Controlling Localization of Exciton-Polariton
Condensates in a Potential Lattice.” Physical Review Applied, vol. 23,
no. 2, 024029, American Physical Society (APS), 2025, doi:10.1103/physrevapplied.23.024029.
short: Q. Ai, J. Wingenbach, X. Yang, J. Wei, Z. Hatzopoulos, P.G. Savvidis, S.
Schumacher, X. Ma, T. Gao, Physical Review Applied 23 (2025).
date_created: 2025-09-12T11:01:17Z
date_updated: 2025-09-12T11:02:33Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '705'
- _id: '230'
- _id: '35'
- _id: '27'
doi: 10.1103/physrevapplied.23.024029
intvolume: ' 23'
issue: '2'
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Physical Review Applied
publication_identifier:
issn:
- 2331-7019
publication_status: published
publisher: American Physical Society (APS)
status: public
title: Optically and remotely controlling localization of exciton-polariton condensates
in a potential lattice
type: journal_article
user_id: '16199'
volume: 23
year: '2025'
...