Publications

All publications Journal articles Conferences Conference Abstracts

All Pub­lic­a­tions

2024

Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies

O. Lammert, B. Richter, C. Schütze, K. Thommes, B. Wrede, Frontiers in Behavioral Economics (2024).

DOI

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, Proceedings of the AAAI Conference on Artificial Intelligence 38 (2024) 14388–14396.

DOI

Effects of task difficulty on visual processing speed

N.C. Banh, I. Scharlau, in: 2024.


Learning decision catalogues for situated decision making: The case of scoring systems

S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).

DOI

Vernakulärer Code oder die Geister, die der Algorithmus rief - digitale Schriftlichkeit im Kontext von sozialen Medienplattformen

C. Schulz, in: M. Bartelmus, A. Nebrig (Eds.), Digitale Schriftlichkeit – Progammieren, Prozessieren und Codieren von Schrift, 1st ed., transcript , Bielefeld, 2024.

DOI

Vom foto-sozialen Graph zum Story-Format: Über die Institutionalisierung sozialmedialer Infrastruktur aus dem Geiste der Fotografie

C. Schulz, in: A. Schürmann, K. Yacavone (Eds.), Die Fotografie und ihre Institutionen. Von der Lehrsammlung zum Bundesinstitut , 1st ed., Reimer Verlag, Berlin , n.d.


On "Super Likes" and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms

C. Schulz, Digital Culture & Society 2 (n.d.).


Integrating Representational Gestures into Automatically Generated Embodied Explanations and its Effects on Understanding and Interaction Quality

A. Robrecht, H. Voss, L. Gottschalk, S. Kopp, ArXiv:2406.12544 (2024).

arXiv

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification

P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: S. Dasgupta, S. Mandt, Y. Li (Eds.), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR, 2024, pp. 3520–3528.


Human Emotions in AI Explanations

K. Thommes, O. Lammert, C. Schütze, B. Richter, B. Wrede, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2024.

DOI

The Power of Combined Modalities in Interactive Robot Learning

H. Beierling, A.-L. Vollmer, ArXiv:2405.07817 (2024).

arXiv

Towards a Computational Architecture for Co-Constructive Explainable Systems

M. Booshehri, H. Buschmeier, P. Cimiano, S. Kopp, J. Kornowicz, O. Lammert, M. Matarese, D. Mindlin, A.S. Robrecht, A.-L. Vollmer, P. Wagner, B. Wrede, in: Proceedings of the 2024 Workshop on Explainability Engineering, ACM, 2024.

DOI

Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms

H. Beierling, K. Loos, R. Helmert, A.-L. Vollmer, in: 2024.


Analyzing the Use of Metaphors in News Editorials for Political Framing

M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, in: K. Duh, H. Gomez, S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Mexico City, Mexico, 2024, pp. 3621–3631.


Modeling the Quality of Dialogical Explanations

M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, H. Wachsmuth, in: N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), ELRA and ICCL, Torino, Italia, 2024, pp. 11523–11536.


2023

Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall

A. Singh, K.J. Rohlfing, in: Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), Cognitive Science Society, Sydney, Australia, 2023.


On Feature Importance and Interpretability of Speaker Representations

F. Rautenberg, M. Kuhlmann, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.

arXiv

Explaining voice characteristics to novice voice practitioners-How successful is it?

J. Wiechmann, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.


The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks

A. Lebedeva, J. Kornowicz, O. Lammert, J. Papenkordt, in: Artificial Intelligence in HCI, 2023.

DOI

The Importance of Distrust in AI

T.M. Peters, R.W. Visser, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2023.

DOI

Re-examining the quality dimensions of synthetic speech

F. Seebauer, M. Kuhlmann, R. Haeb-Umbach, P. Wagner, in: 12th Speech Synthesis Workshop (SSW) 2023, 2023.


“I do not know! but why?” — Local model-agnostic example-based explanations of reject

A. Artelt, R. Visser, B. Hammer, Neurocomputing 558 (2023).

DOI

Technology and Civic Virtue

W. Reijers, Philosophy & Technology 36 (2023).

DOI

Aggregating Human Domain Knowledge for Feature Ranking

J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).

DOI

RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research

A. Groß, C. Schütze, M. Brandt, B. Wrede, B. Richter, Frontiers in Robotics and AI 10 (2023).

DOI

Schreibfokussierte Graduiertenförderung: Reflexive Spezialisierung für interdisziplinäre Forschungskontexte

I. Scharlau, A. Karsten, in: B. Berendt, A. Fleischmann, G. Salmhofer, N. Schaper, B. Szczyrba, M. Wiemer, J. Wildt (Eds.), Neues Handbuch Hochschullehre, DUZ medienhaus, 2023, pp. 17–35.


Adding Why to What? Analyses of an Everyday Explanation

L. Terfloth, M. Schaffer, H.M. Buhl, C. Schulte, in: Springer, Cham, 2023.

DOI

What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection

S. Alpsancar, in: International Conference on Computer Ethics 2023, 2023, pp. 1--17.


From mental models to algorithmic imaginaries to co-constructive mental models

C. Schulz, Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2 (2023) 65–75.

DOI

Tech/Imaginations – Introduction

C. Schulz, J. Schröter, Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2 (2023) 7–14.

DOI

A new algorithmic imaginary

C. Schulz, Media, Culture & Society 45 (2023) 646–655.

DOI

Towards Interpretability in Audio and Visual Affective Machine Learning: A Review

D. Johnson, O. Hakobyan, H. Drimalla, (2023).


EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study

B. Richter, F. Putze, G. Ivucic, M. Brandt, C. Schütze, R. Reisenhofer, B. Wrede, T. Schultz, Multimodal Technologies and Interaction 7 (2023).

DOI

SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation

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.

DOI

Technical Transparency for Robot Navigation Through AR Visualizations

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.

DOI

Does Explainability Require Transparency?

E. Esposito, Sociologica 16 (2023) 17–27.

DOI

Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction

E. Esposito, Sociologica 16 (2023) 1–4.

DOI

Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics

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.

PDF

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain

J. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, 2023.


iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams

M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.

DOI

iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios

M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, E. Huellermeier, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2023.

DOI

Incremental permutation feature importance (iPFI): towards online explanations on data streams

F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, Machine Learning 112 (2023) 4863–4903.

DOI

On Feature Removal for Explainability in Dynamic Environments

F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, in: ESANN 2023 Proceedings, i6doc.com publ., 2023.

DOI

SHAP-IQ: Unified Approximation of any-order Shapley Interactions

F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in: NeurIPS 2023 - Advances in Neural Information Processing Systems, Curran Associates, Inc., 2023, pp. 11515--11551.


Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms

M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, 2023.

DOI

Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), Association for Computational Linguistics, 2023.

DOI

On the Multimodal Resolution of a Search Sequence in Virtual Reality

N. Klowait, Human Behavior and Emerging Technologies 2023 (2023) 1–15.

DOI

Halting the Decay of Talk

N. Klowait, M. Erofeeva, Social Interaction. Video-Based Studies of Human Sociality 6 (2023).

DOI

First steps towards real-time assessment of attentional weights and capacity according to TVA

N.C. Banh, I. Scharlau, in: S. Merz, C. Frings, B. Leuchtenberg, B. Moeller, S. Mueller, R. Neumann, B. Pastötter, L. Pingen, G. Schui (Eds.), Abstracts of the 65th TeaP, ZPID (Leibniz Institute for Psychology), 2023.

DOI

Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue

A. Groß, A. Singh, N.C. Banh, B. Richter, I. Scharlau, K.J. Rohlfing, B. Wrede, Frontiers in Robotics and AI 10 (2023).

DOI

Probabilistic Scoring Lists for Interpretable Machine Learning

J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer Nature Switzerland, Cham, 2023.

DOI

Tech/Imaginations

C. Schulz, J. Schröter, C. Ernst, eds., Tech/Imaginations, Universi Verlag , 2023.

DOI

Emotional Debiasing Explanations for Decisions in HCI

C. Schütze, O. Lammert, B. Richter, K. Thommes, B. Wrede, in: Artificial Intelligence in HCI, 2023.

DOI

SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation

A. Robrecht, S. Kopp, in: Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023.

DOI

A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations

A. Robrecht, M. Rothgänger, S. Kopp, in: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, ACM, 2023.

DOI

Exploring the Semantic Dialogue Patterns of Explanations – a Case Study of Game Explanations

J. Fisher, A. Robrecht, S. Kopp, K. Rohlfing, in: Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue , 2023.


Forms of Understanding of XAI-Explanations

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).

arXiv

What you need to know about a learning robot: Identifying the enabling architecture of complex systems

H. Beierling, P. Richter, M. Brandt, L. Terfloth, C. Schulte, H. Wersing, A.-L. Vollmer, ArXiv:2311.14431 (2023).

arXiv

Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms

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.

DOI

2022

(De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems

J. Finke, I. Horwath, T. Matzner, C. Schulz, in: Artificial Intelligence in HCI, Springer International Publishing, Cham, 2022, pp. 149–160.

DOI

Effects of verbal negation on TVA’s capacity and weight parameters

N.C. Banh, I. Scharlau, in: S. Malejka, M. Barth, H. Haider, C. Stahl (Eds.), TeaP 2022 - Abstracts of the 64th Conference of Experimental Psychologists , Pabst Science Publishers, 2022.

DOI

Folgen wiederholter Negation auf die Aufmerksamkeit

N.C. Banh, I. Scharlau, K.J. Rohlfing, in: C. Bermeitinger, W. Greve (Eds.), 52. Kongress Der Deutschen Gesellschaft Für Psychologie, 2022.


Technically enabled explaining of voice characteristics

J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.

PDF

What is Missing in XAI So Far?

U. Schmid, B. Wrede, KI - Künstliche Intelligenz 36 (2022) 303–315.

DOI

Explainable AI

U. Schmid, B. Wrede, KI - Künstliche Intelligenz 36 (2022) 207–210.

DOI

AI: Back to the Roots?

B. Wrede, KI - Künstliche Intelligenz 36 (2022) 117–120.

DOI

Exploring Monological and Dialogical Phases in Naturally Occurring Explanations

J.B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, K. Rohlfing, KI - Künstliche Intelligenz 36 (2022) 317–326.

DOI

Which “motionese” parameters change with children's age? Disentangling attention-getting from action-structuring modifications

K. Rohlfing, A.-L. Vollmer, J. Fritsch, B. Wrede, Frontiers in Communication 7 (2022).

DOI

Formalizing cognitive biases in medical diagnostic reasoning

D. Battefeld, S. Kopp, in: Presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier., 2022.


Modeling Feedback in Interaction With Conversational Agents—A Review

A. Axelsson, H. Buschmeier, G. Skantze, Frontiers in Computer Science 4 (2022).

DOI

An Architecture Supporting Configurable Autonomous Multimodal Joint-Attention-Therapy for Various Robotic Systems

A. Groß, C. Schütze, B. Wrede, B. Richter, in: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ACM, 2022, pp. 154–159.

DOI

Enabling Non-Technical Domain Experts to Create Robot-Assisted Therapeutic Scenarios via Visual Programming

C. Schütze, A. Groß, B. Wrede, B. Richter, in: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ACM, 2022, pp. 166–170.

DOI

Agnostic Explanation of Model Change based on Feature Importance

M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, KI - Künstliche Intelligenz 36 (2022) 211–224.

DOI

User Involvement in Training Smart Home Agents

L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Doğangün, in: International Conference on Human-Agent Interaction, ACM, 2022.

DOI

(De)Coding social practice in the field of XAI: Towards a co-constructive framework of explanations and understanding between lay users and algorithmic systems

J. Finke, I. Horwath, T. Matzner, C. Schulz, in: Artificial Intelligence in HCI, Springer International Publishing , Cham, 2022, pp. 149–160.

DOI

“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations

H. Wachsmuth, M. Alshomary, in: N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T.K. Lee, E. Santus, F. Bond, S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 344–354.


Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.


2021

Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems

K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.

DOI PDF

Show all publications

Journ­al Art­icles

2024

Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies

O. Lammert, B. Richter, C. Schütze, K. Thommes, B. Wrede, Frontiers in Behavioral Economics (2024).

DOI

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, Proceedings of the AAAI Conference on Artificial Intelligence 38 (2024) 14388–14396.

DOI

Learning decision catalogues for situated decision making: The case of scoring systems

S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).

DOI

On "Super Likes" and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms

C. Schulz, Digital Culture & Society 2 (n.d.).


2023

“I do not know! but why?” — Local model-agnostic example-based explanations of reject

A. Artelt, R. Visser, B. Hammer, Neurocomputing 558 (2023).

DOI

Technology and Civic Virtue

W. Reijers, Philosophy & Technology 36 (2023).

DOI

Aggregating Human Domain Knowledge for Feature Ranking

J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).

DOI

RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research

A. Groß, C. Schütze, M. Brandt, B. Wrede, B. Richter, Frontiers in Robotics and AI 10 (2023).

DOI

From mental models to algorithmic imaginaries to co-constructive mental models

C. Schulz, Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2 (2023) 65–75.

DOI

Tech/Imaginations – Introduction

C. Schulz, J. Schröter, Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2 (2023) 7–14.

DOI

A new algorithmic imaginary

C. Schulz, Media, Culture & Society 45 (2023) 646–655.

DOI

EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study

B. Richter, F. Putze, G. Ivucic, M. Brandt, C. Schütze, R. Reisenhofer, B. Wrede, T. Schultz, Multimodal Technologies and Interaction 7 (2023).

DOI

Does Explainability Require Transparency?

E. Esposito, Sociologica 16 (2023) 17–27.

DOI

Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction

E. Esposito, Sociologica 16 (2023) 1–4.

DOI

Incremental permutation feature importance (iPFI): towards online explanations on data streams

F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, Machine Learning 112 (2023) 4863–4903.

DOI

On the Multimodal Resolution of a Search Sequence in Virtual Reality

N. Klowait, Human Behavior and Emerging Technologies 2023 (2023) 1–15.

DOI

Halting the Decay of Talk

N. Klowait, M. Erofeeva, Social Interaction. Video-Based Studies of Human Sociality 6 (2023).

DOI

Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue

A. Groß, A. Singh, N.C. Banh, B. Richter, I. Scharlau, K.J. Rohlfing, B. Wrede, Frontiers in Robotics and AI 10 (2023).

DOI

2022

What is Missing in XAI So Far?

U. Schmid, B. Wrede, KI - Künstliche Intelligenz 36 (2022) 303–315.

DOI

Explainable AI

U. Schmid, B. Wrede, KI - Künstliche Intelligenz 36 (2022) 207–210.

DOI

AI: Back to the Roots?

B. Wrede, KI - Künstliche Intelligenz 36 (2022) 117–120.

DOI

Exploring Monological and Dialogical Phases in Naturally Occurring Explanations

J.B. Fisher, V. Lohmer, F. Kern, W. Barthlen, S. Gaus, K. Rohlfing, KI - Künstliche Intelligenz 36 (2022) 317–326.

DOI

Which “motionese” parameters change with children's age? Disentangling attention-getting from action-structuring modifications

K. Rohlfing, A.-L. Vollmer, J. Fritsch, B. Wrede, Frontiers in Communication 7 (2022).

DOI

Modeling Feedback in Interaction With Conversational Agents—A Review

A. Axelsson, H. Buschmeier, G. Skantze, Frontiers in Computer Science 4 (2022).

DOI

Agnostic Explanation of Model Change based on Feature Importance

M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, KI - Künstliche Intelligenz 36 (2022) 211–224.

DOI

2021

Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems

K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier, E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier, F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P. Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13 (2021) 717–728.

DOI PDF

Show all publications

Con­fer­ences

2024

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification

P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: S. Dasgupta, S. Mandt, Y. Li (Eds.), Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR, 2024, pp. 3520–3528.


Human Emotions in AI Explanations

K. Thommes, O. Lammert, C. Schütze, B. Richter, B. Wrede, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2024.

DOI

Towards a Computational Architecture for Co-Constructive Explainable Systems

M. Booshehri, H. Buschmeier, P. Cimiano, S. Kopp, J. Kornowicz, O. Lammert, M. Matarese, D. Mindlin, A.S. Robrecht, A.-L. Vollmer, P. Wagner, B. Wrede, in: Proceedings of the 2024 Workshop on Explainability Engineering, ACM, 2024.

DOI

Advancing Human-Robot Collaboration: The Impact of Flexible Input Mechanisms

H. Beierling, K. Loos, R. Helmert, A.-L. Vollmer, in: 2024.


Analyzing the Use of Metaphors in News Editorials for Political Framing

M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, in: K. Duh, H. Gomez, S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Association for Computational Linguistics, Mexico City, Mexico, 2024, pp. 3621–3631.


Modeling the Quality of Dialogical Explanations

M. Alshomary, F. Lange, M. Booshehri, M. Sengupta, P. Cimiano, H. Wachsmuth, in: N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), ELRA and ICCL, Torino, Italia, 2024, pp. 11523–11536.


2023

Contrastiveness in the context of action demonstration: an eye-tracking study on its effects on action perception and action recall

A. Singh, K.J. Rohlfing, in: Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), Cognitive Science Society, Sydney, Australia, 2023.


On Feature Importance and Interpretability of Speaker Representations

F. Rautenberg, M. Kuhlmann, J. Wiechmann, F. Seebauer, P. Wagner, R. Haeb-Umbach, in: ITG Conference on Speech Communication, 2023.

arXiv

Explaining voice characteristics to novice voice practitioners-How successful is it?

J. Wiechmann, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 20th International Congress of the Phonetic Sciences (ICPhS) , 2023.


The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks

A. Lebedeva, J. Kornowicz, O. Lammert, J. Papenkordt, in: Artificial Intelligence in HCI, 2023.

DOI

The Importance of Distrust in AI

T.M. Peters, R.W. Visser, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2023.

DOI

Re-examining the quality dimensions of synthetic speech

F. Seebauer, M. Kuhlmann, R. Haeb-Umbach, P. Wagner, in: 12th Speech Synthesis Workshop (SSW) 2023, 2023.


Adding Why to What? Analyses of an Everyday Explanation

L. Terfloth, M. Schaffer, H.M. Buhl, C. Schulte, in: Springer, Cham, 2023.

DOI

What is AI Ethics? Ethics as means of self-regulation and the need for critical reflection

S. Alpsancar, in: International Conference on Computer Ethics 2023, 2023, pp. 1--17.


SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation

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.

DOI

Technical Transparency for Robot Navigation Through AR Visualizations

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.

DOI

Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics

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.

PDF

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain

J. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, 2023.


On Feature Removal for Explainability in Dynamic Environments

F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, in: ESANN 2023 Proceedings, i6doc.com publ., 2023.

DOI

SHAP-IQ: Unified Approximation of any-order Shapley Interactions

F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in: NeurIPS 2023 - Advances in Neural Information Processing Systems, Curran Associates, Inc., 2023, pp. 11515--11551.


Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms

M. Sengupta, M. Alshomary, I. Scharlau, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, 2023.

DOI

Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), Association for Computational Linguistics, 2023.

DOI

Emotional Debiasing Explanations for Decisions in HCI

C. Schütze, O. Lammert, B. Richter, K. Thommes, B. Wrede, in: Artificial Intelligence in HCI, 2023.

DOI

SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation

A. Robrecht, S. Kopp, in: Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023.

DOI

A Study on the Benefits and Drawbacks of Adaptivity in AI-generated Explanations

A. Robrecht, M. Rothgänger, S. Kopp, in: Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, ACM, 2023.

DOI

Exploring the Semantic Dialogue Patterns of Explanations – a Case Study of Game Explanations

J. Fisher, A. Robrecht, S. Kopp, K. Rohlfing, in: Proceedings of the 27th Workshop on the Semantics and Pragmatics of Dialogue , 2023.


Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms

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.

DOI

2022

(De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems

J. Finke, I. Horwath, T. Matzner, C. Schulz, in: Artificial Intelligence in HCI, Springer International Publishing, Cham, 2022, pp. 149–160.

DOI

Technically enabled explaining of voice characteristics

J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in: 18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.

PDF

Formalizing cognitive biases in medical diagnostic reasoning

D. Battefeld, S. Kopp, in: Presented at the 8th Workshop on Formal and Cognitive Reasoning (FCR), Trier., 2022.


An Architecture Supporting Configurable Autonomous Multimodal Joint-Attention-Therapy for Various Robotic Systems

A. Groß, C. Schütze, B. Wrede, B. Richter, in: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ACM, 2022, pp. 154–159.

DOI

Enabling Non-Technical Domain Experts to Create Robot-Assisted Therapeutic Scenarios via Visual Programming

C. Schütze, A. Groß, B. Wrede, B. Richter, in: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ACM, 2022, pp. 166–170.

DOI

User Involvement in Training Smart Home Agents

L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Doğangün, in: International Conference on Human-Agent Interaction, ACM, 2022.

DOI

(De)Coding social practice in the field of XAI: Towards a co-constructive framework of explanations and understanding between lay users and algorithmic systems

J. Finke, I. Horwath, T. Matzner, C. Schulz, in: Artificial Intelligence in HCI, Springer International Publishing , Cham, 2022, pp. 149–160.

DOI

“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations

H. Wachsmuth, M. Alshomary, in: N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T.K. Lee, E. Santus, F. Bond, S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 344–354.


Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.


Show all publications

Con­fer­ence Ab­stracts

2024

Effects of task difficulty on visual processing speed

N.C. Banh, I. Scharlau, in: 2024.


2023

First steps towards real-time assessment of attentional weights and capacity according to TVA

N.C. Banh, I. Scharlau, in: S. Merz, C. Frings, B. Leuchtenberg, B. Moeller, S. Mueller, R. Neumann, B. Pastötter, L. Pingen, G. Schui (Eds.), Abstracts of the 65th TeaP, ZPID (Leibniz Institute for Psychology), 2023.

DOI

2022

Effects of verbal negation on TVA’s capacity and weight parameters

N.C. Banh, I. Scharlau, in: S. Malejka, M. Barth, H. Haider, C. Stahl (Eds.), TeaP 2022 - Abstracts of the 64th Conference of Experimental Psychologists , Pabst Science Publishers, 2022.

DOI

Folgen wiederholter Negation auf die Aufmerksamkeit

N.C. Banh, I. Scharlau, K.J. Rohlfing, in: C. Bermeitinger, W. Greve (Eds.), 52. Kongress Der Deutschen Gesellschaft Für Psychologie, 2022.


Show all publications
Alle Publikationen Zeitschriftenartikel Konferenzbeiträge Konferenz Abstracts