Menne, A. L., & Schulz, C. (Eds.). (n.d.). Unpacking [Digital] Imaginaries. Das Imaginäre im Kontext digitaler Medien. Transcript.

Peters, T. M., Biermeier, K., & Scharlau, I. (2026). Assessing healthy distrust in human-AI interaction: interpreting changes in visual attention. Frontiers in Psychology, 16, Article 1694367. https://doi.org/10.3389/fpsyg.2025.1694367

Porwol, P. F., Körber, M., Kern, F., Schulte, C., & Scharlau, I. (2026). Framing what and how to think: Lay people’s metaphors for algorithms. In P. Cimiano, B. Paaßen, & A.-L. Vollmer (Eds.), Proceedings of the 3rd TRR 318 Conference: Contextualizing Explanations. Bielefeld University Press. https://doi.org/10.64136/ubio9074

Jimenez, P., Vollmer, A. L., & Wachsmuth, H. (n.d.). Structures Underlying Explanations. In K. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.), Social Explainable AI: Communications of NII Shonan Meetings. Springer Singapore.

Rohlfing, K. J., Alpsancar, S., & Schulte, C. (2026). Responsibilities in sXAI. In Social Explainable AI (pp. 157–177). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_9

Alpsancar, S., & Stamboliev, E. (2026). Tasking AI Fairly. How to Empower AI Practitioners With sXAI? In Social Explainable AI (pp. 557–581). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_29

Alpsancar, S., & Klenk, M. (2026). The Risk of Manipulation and Deception in sXAI. In Social Explainable AI (pp. 583–616). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_30

Rohlfing, K. J., Främling, K., Lim, B., Alpsancar, S., & Thommes, K. (Eds.). (2026). Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_1

Wrede, B., Buschmeier, H., Rohlfing, K. J., Booshehri, M., & Grimminger, A. (2026). Incremental communication. In K. J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, & B. Y. Lim (Eds.), Social Explainable AI (pp. 227–245). Springer. https://doi.org/10.1007/978-981-96-5290-7_12

Grimminger, A., & Buschmeier, H. (2026). Theoretical aspects of multimodal processing. In K. J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, & B. Y. Lim (Eds.), Social Explainable AI (pp. 351–365). Springer. https://doi.org/10.1007/978-981-96-5290-7_18

Lazarov, S. T., Tchappi, I., & Grimminger, A. (2026). Characteristics of nonverbal behavior. In K. J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, & B. Y. Lim (Eds.), Social Explainable AI (pp. 367–390). Springer. https://doi.org/10.1007/978-981-96-5290-7_19

Wagner, P., & Kopp, S. (2026). Timing and synchronization of multimodal signals in explanations. In K. J. Rohlfing, K. Främling, S. Alpsancar, K. Thommes, & B. Y. Lim (Eds.), Social Explainable AI (pp. 433–446). Springer. https://doi.org/10.1007/978-981-96-5290-7_22

Rohlfing, K. J., Vollmer, A.-L., & Grimminger, A. (2026). Practices: How to establish an explaining practice. In K. Rohlfing, K. Främling, K. Thommes, S. Alpsancar, & B. Y. Lim (Eds.), Social Explainable AI. Springer. https://doi.org/10.1007/978-981-96-5290-7_5

Schulz, C. (n.d.). Feeds. Ein zentrales Strukturprinzip sozialer Medien. In R. Dörre & A. Tuschling (Eds.), Handbuch Social Media: Geschichte – Kultur – Ästhetik (1st ed.). Metzler Verlag.

Främling, K., Thommes, K., & Wrede, B. (2026). Generation of Explanatory Content and Requirements for Social XAI. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_15

Thommes, K. (2026). Measuring the Outcome of sXAI. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_28

Wachsmuth, H., Thommes, K., & Alshomary, M. (2026). Operationalizing Social Interaction. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_27

Främling, K., Wrede, B., & Thommes, K. (2026). Exploration of Explaining Content. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_16

Thommes, K., Främling, K., Wrede, B., & Kubler, S. (2026). Interaction History in Social XAI. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_17

Thommes, K. (2026). Evaluation Principles. In Social Explainable AI. Springer Nature Singapore. https://doi.org/10.1007/978-981-96-5290-7_26

Vollmer, A.-L., Buhl, H. M., Alami, R., Främling, K., Grimminger, A., Booshehri, M., & Ngonga Ngomo, A.-C. (2026). Components of an explanation for co-constructive sXAI. In K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.), Social Explainable AI (pp. 39–53). Springer. https://doi.org/10.1007/978-981-96-5290-7_3

Buhl, H. M., Vollmer, A.-L., Alami, R., Booshehri, M., & Främling, K. (2026). Models of the situation, the explanandum, and the interaction partner. In K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.), Social explainable AI (pp. 269–295). Springer. https://doi.org/10.1007/978-981-96-5290-7_14

Buhl, H. M., Wrede, B., Fisher, J. B., & Matarese, M. (2026). Adaptation. In K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.), Social Explainable AI (pp. 247–267). Springer. https://doi.org/10.1007/978-981-96-5290-7_13

Terfloth, L., Buhl, H. M., Lohmer, V., Schaffer, M., Kern, F., & Schulte, C. (2026). Bridging the Dual Nature: How Integrated Explanations Enhance Understanding of Technical Artifacts.

Lazarov, S. T., Schaffer, M., Gladow, V., Buschmeier, H., Buhl, H. M., & Grimminger, A. (n.d.). Retrospective video recall for analyzing cognitive processes in naturalistic explanations.

Lutz, T., Buhl, H. M., Lohmer, V., Kern, F., Schaffer, M. E., & Schulte, C. (2026). Navigating the dual nature: do explainers adapt to explainee interests when explaining technical artifacts. International Journal of Technology and Design Education.

Knauff, M., Butz, M. V., Kaup, B., Kunde, W., & Scharlau, I. (2026). When prediction replaces explanation:  A threat to psychological science . In psyarxiv. OSF.

Koopmann, P., Mahmood, Y., Ngonga Ngomo, A.-C., & Tiwari, B. (2026). Can You Tell the Difference? Contrastive Explanations for ABox Entailments. Proceedings of the AAAI Conference on Artificial Intelligence, 40(23), 19189–19197. https://doi.org/10.1609/aaai.v40i23.38993

Wang, Y., Türk, O., Grimminger, A., & Buschmeier, H. (2026). Predicting states of understanding in explanatory interactions using cognitive load-related linguistic cues. Proceedings of the 15th Language Resources and Evaluation Conference, 11368–11378. https://doi.org/10.63317/4tsmsshhd3ad

Beer, F., & Schulz, C. (n.d.). AI has never been inherently interpretable: On a paradoxical origin of eXplainable AI (XAI). RESET Journal (Recherches Sciences Sociale Sur Internet) Special Issue: Towards New Social and Historical Studies of Artificial Intelligence.

Lazarov, S. T., & Grimminger, A. (2026). How are gaze aversions and mutual gaze related to the topical development of dyadic explanatory interactions? Journal of Nonverbal Behavior. https://doi.org/10.1007/s10919-026-00512-8

Scheiter, K., Bach, K. M., Bauer, E., Brod, G., Bromme, R., Buhl, H. M., Gagl, B., Greiff, S., Hefter, M. H., Janke, S., Lindner, M. A., Mayweg, E., Nebel, S., Rummel, N., & Sailer, M. (2026). Generative Künstliche Intelligenz im Kontext von Lehren, Lernen und Beraten: Eine Perspektive der Pädagogischen Psychologie. Psychologische Rundschau, 77(3), 169–174. https://doi.org/10.1026/0033-3042/a000769

Wang, Y., Lao, L., Huang, L., Skantze, G., Xu, Y., & Buschmeier, H. (2026). Investigating the representation of backchannels and fillers in fine-tuned language models. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 5319–5348. https://doi.org/10.18653/v1/2026.acl-long.241

Türk, O., Lazarov, S. T., Wang, Y., Grimminger, A., Buschmeier, H., & Wagner, P. (n.d.). When “yeah” means “not quite”: Multimodal detection of backchannels expressing incomplete understanding. Proceedings of INTERSPEECH 2026. INTERSPEECH 2026, Sydney, Australia.

Menne, A. L., & Schulz, C. (2026). Social Context in Human-AI Interaction (HAI): Towards a Theoretical Framework Based on Multi-Perspectival Imaginaries. In C. Stephanidis, G. Margetis, S. Ntoa, M. Antona, & G. Salvendy (Eds.), HCI International 2026 Posters: 28th International Conference on Human-Computer Interaction, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part I (Vol. 3047, pp. 93–106). Springer International Publishing. https://doi.org/10.1007/978-3-032-30552-7_10

Gladow, V., & Buhl, H. M. (2026). Partner models of explainers: a qualitative interview study. Frontiers in Education, 11. https://doi.org/10.3389/feduc.2026.1891741

Scharlau, I., & Rohlfing, K. J. (2025). Agency in metaphors of explaining: An analysis of scientific texts. Center for Open Science.

Visser, R., Peters, T. M., Scharlau, I., & Hammer, B. (2025). Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation. Cognitive Systems Research, Article 101357. https://doi.org/10.1016/j.cogsys.2025.101357

Porwol, P., & Scharlau, I. (2025). An annotated corpus of elicited metaphors of explaining and understanding using MIPVU. OSF. https://doi.org/10.17605/OSF.IO/Y6SMX

Rautenberg, F., Kuhlmann, M., Seebauer, F., Wiechmann, J., Wagner, P., & Haeb-Umbach, R. (2025). Speech Synthesis along Perceptual Voice Quality Dimensions. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India . https://doi.org/10.1109/icassp49660.2025.10888012

Peters, T. M., & Scharlau, I. (2025). Interacting with fallible AI: Is distrust helpful when receiving AI misclassifications? Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1574809

Haak, A., Koopmann, P., Mahmood, Y., & Turhan, A.-Y. (2025). Why not? Developing ABox Abduction beyond Repairs. In arXiv:2507.21955.

Mahmood, Y., Hecher, M., & Ngonga Ngomo, A.-C. (2025). Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases. Proceedings of the AAAI Conference on Artificial Intelligence, 39(14), 15058–15066. https://doi.org/10.1609/aaai.v39i14.33651

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

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

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

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).

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).

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.

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.

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.

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.

Ilinykh, N., Robrecht, A., Kopp, S., & Buschmeier, H. (Eds.). (2025). SemDial 2025 – Bialogue. Proceedings of the 29th Workshop on the Semantics and Pragmatics of Dialogue.

Lenke, M., Lehner, L., & Landman, M. (2025). “I’m Actually More Interested in AI Than in Computer Science” - 12-Year-Olds Describing Their First Encounter with AI. 2025 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon62633.2025.11016657

Lenke, M., & Schulte, C. (2025). Enhancing AI Interaction through Co-Construction: A Multi-Faceted Workshop Framework. 2025 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon62633.2025.11016326

Fisher, J. B., & Terfloth, L. (2025). The Dual Nature as a Local Context to Explore Verbal Behaviour in Game Explanations. Proceedings of the 29th Workshop on the Semantics and Pragmatics of Dialogue (SemDial 2025).

Scharlau, I., & Miriam, K. (2025). Metaphors in 24 WIRED Level 5 Videos (Data corpus). OSF. https://doi.org/10.17605/OSF.IO/94A2J

Beierling, H., Beierling, R., & Vollmer, A.-L. (2025). The power of combined modalities in interactive robot learning. Frontiers in Robotics and AI, 12.

Baraka, K., Idrees, I., Faulkner, T. K., Biyik, E., Booth, S., Chetouani, M., Grollman, D. H., Saran, A., Senft, E., Tulli, S., Vollmer, A.-L., Andriella, A., Beierling, H., Horter, T., Kober, J., Sheidlower, I., Taylor, M. E., van Waveren, S., & Xiao, X. (n.d.). Human-Interactive Robot Learning: Definition, Challenges, and Recommendations. Transactions on Human-Robot Interaction.

Buhl, H. M., Fisher, J. B., & Rohlfing, K. J. (2025). Role Perception Questionnaire: Co-construction. Scales manual. OSF.

Reijers, W. (2025). Civic Vice in Digital Governance. In Public Governance and Emerging Technologies. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-84748-6_14

Reijers, W., Thomas Young, M., & Coeckelbergh, M. (2025). Introduction to the Ethics of Emerging Technologies.

de Filippi, P., Mannan, M., & Reijers, W. (2025). How to Govern the Confidence Machine? Regulation & Governance. https://doi.org/10.1111/rego.70017

Battefeld, D., & Kopp, S. (2025). Implementing a computational cognitive process model of medical diagnostic reasoning. Proceedings of KogWis 2025: Conference of the German Cognitive Science Society. Flexible Minds: Situated and Comparative Perspectives (KogWis 2025), Bochum, Germany.

Singh, A., & Rohlfing, K. J. (2025). Manners Matter: Action history guides attention and repair choices during interaction. IEEE International Conference on Development and Learning (ICDL). IEEE International Conference on Development and Learning (ICDL), Prague. https://doi.org/10.31234/osf.io/yn2we_v1

Buschmeier, H., Grimminger, A., Wagner, P., Lazarov, S. T., Türk, O., & Wang, Y. (2025). MUNDEX Annotations. LibreCat University. https://doi.org/10.5281/ZENODO.17129817

Buhl, H. M., Herrmann, P., & Bolinger, D. X. (2025). TRR 318, Project A01, WP 2.1. Scales manual. OSF.

Buhl, H. M., Herrmann, P., & Bolinger, D. X. (2025). TRR 318, Project A01, WP 2.2. Scales manual. OSF.

Singh, A., & Rohlfing, K. J. (2025). Embedding Psycholinguistics: An Interactive Framework for Studying Language in Action. 6th Biannual Conference of the German Society for Cognitive Science, Bochum, Germany. 6th Biannual Conference of the German Society for Cognitive Science, Bochum, Germany, Bochum. https://doi.org/10.17605/OSF.IO/8PR23

Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., & Hüllermeier, E. (2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making. In Communications in Computer and Information Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-08327-2_6

Papenkordt, J., Ngonga Ngomo, A.-C., & Thommes, K. (2025). Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection? Behaviour & Information Technology, 1–22. https://doi.org/10.1080/0144929x.2025.2568928

Lammert, O. (2025). Can AI Regulate Your Emotions? An Empirical Investigation of the Influence of AI Explanations and Emotion Regulation on Human Decision-Making Factors. In Communications in Computer and Information Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-08333-3_11

Porwol, P. F., & Scharlau, I. (2025). Is explaining more like showing or more like building? Agency in metaphors of explaining. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2025.1628706

Kornowicz, J. (2025). An Empirical Examination of the Evaluative AI Framework. International Journal of Human–Computer Interaction, 1–19. https://doi.org/10.1080/10447318.2025.2581260

Paaßen, B., Alpsancar, S., Matzner, T., & Scharlau, I. (2025). Healthy Distrust in AI systems. In arXiv.

Alpsancar, S., Buhl, H. M., Matzner, T., & Scharlau, I. (2025). Explanation needs and ethical demands: unpacking the instrumental value of XAI. AI and Ethics, 5, 3015–3033. https://doi.org/10.1007/s43681-024-00622-3

Reijers, W., Matzner, T., & Alpsancar, S. (2025). Explainability and AI Governance. In M. Farina, X. Yu, & J. Chen (Eds.), Digital Development. Technology, Ethics and Governance. Routledge. https://doi.org/10.4324/9781003567622-22

Lazarov, S. T. (2025). The reflection of interactional monitoring in the dynamics of verbal and nonverbal forms of explaining. Universitätsbibliothek Paderborn. https://doi.org/10.17619/UNIPB/1-2446

Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher, J. B., Groß, A., Horwath, I., Klowait, N., Lazarov, S. T., Lenke, M., Lohmer, V., Rohlfing, K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang, Y., Wilmes, A., & Wrede, B. (2025). Forms of Understanding for XAI-Explanations. Cognitive Systems Research, 94, Article 101419. https://doi.org/10.1016/j.cogsys.2025.101419

Porwol, P. F., & Scharlau, I. (2025). What do metaphors of understanding hide? STUDIA NEOFILOLOGICZ: NEROZPRAWY JĘZYKOZNAWCZE (Modern Language Studies: Linguistic Essays), XXI, 181–198.

Kornowicz, J., & Thommes, K. (2025). Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance. Plos One. https://doi.org/10.1371/journal.pone.0318874

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. (2025). Investigating Co-Constructive Behavior of Large Language Models in  Explanation Dialogues. In arXiv:2504.18483.

Philippi, M. (2025). Die Ambivalenz von Sichtbarkeit. Ethische Perspektiven auf die digitale Transformation. Sorbische Lebenswelten im digitalen Zeitalter, BTU Cottbus-Senftenberg, Cottbus.

Philippi, M. (2025). Grenzen des Verstehens. Hermeneutik - oder: Was heißt “Verstehen”? Januartagung der Evangelischen Forschungsakademie, Berlin.

Schulz, C. (2025). On “Super Likes” and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms. Digital Culture & Society , 2/2023, 45–68. https://doi.org/10.14361/dcs-2023-0204

Singh, A., & Rohlfing, K. J. (2025). Contrastive Verbal Guidance: A Beneficial Context for Attention To Events and Their Memory? Cognitive Science, 49(8), Article e70096. https://doi.org/10.1111/cogs.70096

Rautenberg, F., Seebauer, F., Wiechmann, J., Kuhlmann, M., Wagner, P., & Haeb-Umbach, R. (2025). Synthesizing Speech with Selected Perceptual Voice Qualities – A Case Study with Creaky Voice. Interspeech 2025. Interspeech, Rotterdam. https://doi.org/10.21437/Interspeech.2025-1443

Kornowicz, J., Pape, M., & Thommes, K. (2025). Would I regret being different? The influence of social norms on attitudes toward AI usage. Arxiv. https://doi.org/10.48550/ARXIV.2509.04241

Wiechmann, J., & Wagner, P. (2025). Challenges and Limits in Explaining and Acoustic Modeling of Voice Characteristics. Journal of Voice. https://doi.org/10.1016/j.jvoice.2025.07.036

Banh, N. C., & Scharlau, I. (2025). Intra-individual variability in TVA attentional capacity and weight distribution: A reanalysis across days and an experiment within-day. Center for Open Science.

Türk, O., Lazarov, S. T., Buschmeier, H., Wagner, P., & Grimminger, A. (2025). Acoustic detection of false positive backchannels of understanding in explanations. LingCologne 2025 – Book of Abstracts, 36.

Sengupta, M., Muschalik, M., Fumagalli, F., Hammer, B., Hüllermeier, E., Ghosh, D., & Wachsmuth, H. (2025). Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. Accepted in Findings . Empirical Methods in Natural Language Processing (EMNLP 2025).

Hannula, M., Hirvonen, M., Kontinen, J., Mahmood, Y., Meier, A., & Virtema, J. (2025). Logics with probabilistic team semantics and the Boolean negation. Journal of Logic and Computation, 35(3). https://doi.org/10.1093/logcom/exaf021

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.

Lazarov, S. T., Türk, O., Grimminger, A., Wagner, P., & Buschmeier, H. (2025). Annotation Schemes Project A02 “Monitoring the understanding of explanations.” LibreCat University. https://doi.org/10.17605/OSF.IO/J2DHA

Karsten, A. R. (2025). Understanding personal agency through metaphor, or Why academic writing is (not) like a roller-coaster ride. Frontiers in Language Sciences, 4, Article 1567498. https://doi.org/10.3389/flang.2025.1567498

Lammert, O., Richter, B., Schütze, C., Thommes, K., & Wrede, B. (2024). Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies. Frontiers in Behavioral Economics. https://doi.org/10.3389/frbhe.2024.1377075

Banh, N. C., & Scharlau, I. (2024). Effects of task difficulty on visual processing speed. Tagung experimentell arbeitender Psycholog:innen (TeaP), Regensburg.

Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190

Schulz, C. (2024). Vernakulärer Code oder die Geister, die der Algorithmus rief - digitale Schriftlichkeit im Kontext von sozialen Medienplattformen. In M. Bartelmus & A. Nebrig (Eds.), Digitale Schriftlichkeit – Progammieren, Prozessieren und Codieren von Schrift (1st ed.). transcript . https://doi.org/10.1515/9783839468135-009

Peters, T. M., Biermeier, K., & Scharlau, I. (2026). Assessing healthy distrust in human-AI interaction: interpreting changes in visual attention. Frontiers in Psychology, 16, Article 1694367. https://doi.org/10.3389/fpsyg.2025.1694367

Lutz, T., Buhl, H. M., Lohmer, V., Kern, F., Schaffer, M. E., & Schulte, C. (2026). Navigating the dual nature: do explainers adapt to explainee interests when explaining technical artifacts. International Journal of Technology and Design Education.

Beer, F., & Schulz, C. (n.d.). AI has never been inherently interpretable: On a paradoxical origin of eXplainable AI (XAI). RESET Journal (Recherches Sciences Sociale Sur Internet) Special Issue: Towards New Social and Historical Studies of Artificial Intelligence.

Lazarov, S. T., & Grimminger, A. (2026). How are gaze aversions and mutual gaze related to the topical development of dyadic explanatory interactions? Journal of Nonverbal Behavior. https://doi.org/10.1007/s10919-026-00512-8

Scheiter, K., Bach, K. M., Bauer, E., Brod, G., Bromme, R., Buhl, H. M., Gagl, B., Greiff, S., Hefter, M. H., Janke, S., Lindner, M. A., Mayweg, E., Nebel, S., Rummel, N., & Sailer, M. (2026). Generative Künstliche Intelligenz im Kontext von Lehren, Lernen und Beraten: Eine Perspektive der Pädagogischen Psychologie. Psychologische Rundschau, 77(3), 169–174. https://doi.org/10.1026/0033-3042/a000769

Gladow, V., & Buhl, H. M. (2026). Partner models of explainers: a qualitative interview study. Frontiers in Education, 11. https://doi.org/10.3389/feduc.2026.1891741

Visser, R., Peters, T. M., Scharlau, I., & Hammer, B. (2025). Trust, distrust, and appropriate reliance in (X)AI: A conceptual clarification of user trust and survey of its empirical evaluation. Cognitive Systems Research, Article 101357. https://doi.org/10.1016/j.cogsys.2025.101357

Peters, T. M., & Scharlau, I. (2025). Interacting with fallible AI: Is distrust helpful when receiving AI misclassifications? Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1574809

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

Beierling, H., Beierling, R., & Vollmer, A.-L. (2025). The power of combined modalities in interactive robot learning. Frontiers in Robotics and AI, 12.

Baraka, K., Idrees, I., Faulkner, T. K., Biyik, E., Booth, S., Chetouani, M., Grollman, D. H., Saran, A., Senft, E., Tulli, S., Vollmer, A.-L., Andriella, A., Beierling, H., Horter, T., Kober, J., Sheidlower, I., Taylor, M. E., van Waveren, S., & Xiao, X. (n.d.). Human-Interactive Robot Learning: Definition, Challenges, and Recommendations. Transactions on Human-Robot Interaction.

de Filippi, P., Mannan, M., & Reijers, W. (2025). How to Govern the Confidence Machine? Regulation & Governance. https://doi.org/10.1111/rego.70017

Papenkordt, J., Ngonga Ngomo, A.-C., & Thommes, K. (2025). Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection? Behaviour & Information Technology, 1–22. https://doi.org/10.1080/0144929x.2025.2568928

Porwol, P. F., & Scharlau, I. (2025). Is explaining more like showing or more like building? Agency in metaphors of explaining. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2025.1628706

Kornowicz, J. (2025). An Empirical Examination of the Evaluative AI Framework. International Journal of Human–Computer Interaction, 1–19. https://doi.org/10.1080/10447318.2025.2581260

Alpsancar, S., Buhl, H. M., Matzner, T., & Scharlau, I. (2025). Explanation needs and ethical demands: unpacking the instrumental value of XAI. AI and Ethics, 5, 3015–3033. https://doi.org/10.1007/s43681-024-00622-3

Buschmeier, H., Buhl, H. M., Kern, F., Grimminger, A., Beierling, H., Fisher, J. B., Groß, A., Horwath, I., Klowait, N., Lazarov, S. T., Lenke, M., Lohmer, V., Rohlfing, K., Scharlau, I., Singh, A., Terfloth, L., Vollmer, A.-L., Wang, Y., Wilmes, A., & Wrede, B. (2025). Forms of Understanding for XAI-Explanations. Cognitive Systems Research, 94, Article 101419. https://doi.org/10.1016/j.cogsys.2025.101419

Porwol, P. F., & Scharlau, I. (2025). What do metaphors of understanding hide? STUDIA NEOFILOLOGICZ: NEROZPRAWY JĘZYKOZNAWCZE (Modern Language Studies: Linguistic Essays), XXI, 181–198.

Kornowicz, J., & Thommes, K. (2025). Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance. Plos One. https://doi.org/10.1371/journal.pone.0318874

Schulz, C. (2025). On “Super Likes” and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms. Digital Culture & Society , 2/2023, 45–68. https://doi.org/10.14361/dcs-2023-0204

Singh, A., & Rohlfing, K. J. (2025). Contrastive Verbal Guidance: A Beneficial Context for Attention To Events and Their Memory? Cognitive Science, 49(8), Article e70096. https://doi.org/10.1111/cogs.70096

Kornowicz, J., Pape, M., & Thommes, K. (2025). Would I regret being different? The influence of social norms on attitudes toward AI usage. Arxiv. https://doi.org/10.48550/ARXIV.2509.04241

Wiechmann, J., & Wagner, P. (2025). Challenges and Limits in Explaining and Acoustic Modeling of Voice Characteristics. Journal of Voice. https://doi.org/10.1016/j.jvoice.2025.07.036

Hannula, M., Hirvonen, M., Kontinen, J., Mahmood, Y., Meier, A., & Virtema, J. (2025). Logics with probabilistic team semantics and the Boolean negation. Journal of Logic and Computation, 35(3). https://doi.org/10.1093/logcom/exaf021

Karsten, A. R. (2025). Understanding personal agency through metaphor, or Why academic writing is (not) like a roller-coaster ride. Frontiers in Language Sciences, 4, Article 1567498. https://doi.org/10.3389/flang.2025.1567498

Lammert, O., Richter, B., Schütze, C., Thommes, K., & Wrede, B. (2024). Humans in XAI: Increased Reliance in Decision-Making Under Uncertainty by Using Explanation Strategies. Frontiers in Behavioral Economics. https://doi.org/10.3389/frbhe.2024.1377075

Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190

Buhl, H. M., Fisher, J. B., & Rohlfing, K. (2024). Changes in partner models – Effects of adaptivity in the course of explanations. Proceedings of the Annual Meeting of the Cognitive Science Society, 46.

Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., & Buschmeier, H. (2024). Can AI explain AI? Interactive co-construction of explanations among human and artificial agents. Discourse & Communication, 18(6), 917–930. https://doi.org/10.1177/17504813241267069

Kornowicz, J. (2024). An Empirical Examination of the Evaluative AI Framework. ArXiv. https://doi.org/10.48550/ARXIV.2411.08583

Johnson, D., Hakobyan, O., Paletschek, J., & Drimalla, H. (2024). Explainable AI for Audio and Visual Affective Computing: A Scoping Review. IEEE Transactions on Affective Computing, 16(2), 518–536. https://doi.org/10.1109/taffc.2024.3505269

Beierling, H., Richter, P., Brandt, M., Terfloth, L., Schulte, C., Wersing, H., & Vollmer, A.-L. (2024). What you need to know about a learning robot: Identifying the enabling  architecture of complex systems. Cognitive Systems Research, 88.

Heid, S., Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. International Journal of Approximate Reasoning, 171, Article 109190. https://doi.org/10.1016/j.ijar.2024.109190

Banh, N. C., Tünnermann, J., Rohlfing, K. J., & Scharlau, I. (2024). Benefiting from Binary Negations? Verbal Negations Decrease Visual Attention and Balance Its Distribution. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1451309

Scharlau, I., Körber, M., Sengupta, M., & Wachsmuth, H. (2024). When to use a metaphor: Metaphors in dialogical explanations with addressees of different expertise. Frontiers in Language Sciences, 3, 1474924.

Lazarov, S. T., Biermeier, K., & Grimminger, A. (2024). Changes in the topical structure of explanations are related to explainees’ multimodal behaviour. Interaction Studies, 25(3), 257–280. https://doi.org/10.1075/is.23033.laz

Fisher, J. B., Rohlfing, K. J., Donnellan, E., Grimminger, A., Gu, Y., & Vigliocco, G. (2024). Explain with, rather than explain to: How explainees shape their own learning. Interaction Studies, 25(2), 244–255. https://doi.org/doi.org/10.1075/is.23019.fis

Karsten, A. (2024). Voices in Dialogue: Taking Polyphony in Academic Writing Seriously. Written Communication, 41(1), 6–36. https://doi.org/10.1177/07410883231207104

Kornowicz, J., & Thommes, K. (2023). Aggregating Human Domain Knowledge for Feature Ranking. Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_7

Groß, A., Schütze, C., Brandt, M., Wrede, B., & Richter, B. (2023). RISE: an open-source architecture for interdisciplinary and reproducible human–robot interaction research. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1245501

Schulz, C. (2023). From mental models to algorithmic imaginaries to co-constructive mental models. Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften , 2, 65–75. http://dx.doi.org/10.25819/ubsi/10428

Schulz, C., & Schröter, J. (2023). Tech/Imaginations – Introduction. Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften , 2, 7–14. http://dx.doi.org/10.25819/ubsi/10428

Schulz, C. (2023). A new algorithmic imaginary. Media, Culture & Society, 45(3), 646–655. https://doi.org/10.1177/01634437221136014

Richter, B., Putze, F., Ivucic, G., Brandt, M., Schütze, C., Reisenhofer, R., Wrede, B., & Schultz, T. (2023). EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study. Multimodal Technologies and Interaction, 7(4), Article 37. https://doi.org/10.3390/mti7040037

Esposito, E. (2023). Does Explainability Require Transparency? Sociologica, 16(3), 17–27. https://doi.org/10.6092/ISSN.1971-8853/15804

Esposito, E. (2023). Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction. Sociologica, 16(3), 1–4. https://doi.org/10.6092/ISSN.1971-8853/16265

Klowait, N. (2023). On the Multimodal Resolution of a Search Sequence in Virtual Reality. Human Behavior and Emerging Technologies, 2023, 1–15. https://doi.org/10.1155/2023/8417012

Klowait, N., & Erofeeva, M. (2023). Halting the Decay of Talk. Social Interaction. Video-Based Studies of Human Sociality, 6(1). https://doi.org/10.7146/si.v6i1.136903

Groß, A., Singh, A., Banh, N. C., Richter, B., Scharlau, I., Rohlfing, K. J., & Wrede, B. (2023). Scaffolding the human partner by contrastive guidance in an explanatory human-robot dialogue. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1236184

Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental permutation feature importance (iPFI): towards online explanations on data streams. Machine Learning, 112(12), 4863–4903. https://doi.org/10.1007/s10994-023-06385-y

Artelt, A., Visser, R., & Hammer, B. (2023). “I do not know! but why?” — Local model-agnostic example-based explanations of reject. Neurocomputing, 558, Article 126722. https://doi.org/10.1016/j.neucom.2023.126722

Reijers, W. (2023). Technology and Civic Virtue. Philosophy & Technology, 36(4), Article 71. https://doi.org/10.1007/s13347-023-00669-w

Schmid, U., & Wrede, B. (2022). What is Missing in XAI So Far? KI - Künstliche Intelligenz, 36(3–4), 303–315. https://doi.org/10.1007/s13218-022-00786-2

Schmid, U., & Wrede, B. (2022). Explainable AI. KI - Künstliche Intelligenz, 36(3–4), 207–210. https://doi.org/10.1007/s13218-022-00788-0

Wrede, B. (2022). AI: Back to the Roots? KI - Künstliche Intelligenz, 36(2), 117–120. https://doi.org/10.1007/s13218-022-00773-7

Rohlfing, K., Vollmer, A.-L., Fritsch, J., & Wrede, B. (2022). Which “motionese” parameters change with children’s age? Disentangling attention-getting from action-structuring modifications. Frontiers in Communication, 7. https://doi.org/10.3389/fcomm.2022.922405

Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2022). Agnostic Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz, 36(3–4), 211–224. https://doi.org/10.1007/s13218-022-00766-6

Axelsson, A., Buschmeier, H., & Skantze, G. (2022). Modeling Feedback in Interaction With Conversational Agents—A Review. Frontiers in Computer Science, 4. https://doi.org/10.3389/fcomp.2022.744574

Fisher, J. B., Lohmer, V., Kern, F., Barthlen, W., Gaus, S., & Rohlfing, K. (2022). Exploring monological and dialogical phases in naturally occurring explanations. KI - Künstliche Intelligenz, 36(3–4), 317–326. https://doi.org/10.1007/s13218-022-00787-1

Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366

Budde, L., Schulte, C., Buhl, H. M., & Muehling, A. (2020). Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows). Seventh International Conference on Learning and Teaching in Computing and Engineeringe.

Porwol, P. F., Körber, M., Kern, F., Schulte, C., & Scharlau, I. (2026). Framing what and how to think: Lay people’s metaphors for algorithms. In P. Cimiano, B. Paaßen, & A.-L. Vollmer (Eds.), Proceedings of the 3rd TRR 318 Conference: Contextualizing Explanations. Bielefeld University Press. https://doi.org/10.64136/ubio9074

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.

Fisher, J. B., & Terfloth, L. (2025). The Dual Nature as a Local Context to Explore Verbal Behaviour in Game Explanations. Proceedings of the 29th Workshop on the Semantics and Pragmatics of Dialogue (SemDial 2025).

Philippi, M. (2025). Die Ambivalenz von Sichtbarkeit. Ethische Perspektiven auf die digitale Transformation. Sorbische Lebenswelten im digitalen Zeitalter, BTU Cottbus-Senftenberg, Cottbus.

Philippi, M. (2025). Grenzen des Verstehens. Hermeneutik - oder: Was heißt “Verstehen”? Januartagung der Evangelischen Forschungsakademie, Berlin.

Türk, O., Lazarov, S. T., Buschmeier, H., Wagner, P., & Grimminger, A. (2025). Acoustic detection of false positive backchannels of understanding in explanations. LingCologne 2025 – Book of Abstracts, 36.

Banh, N. C., & Scharlau, I. (2024). Effects of task difficulty on visual processing speed. Tagung experimentell arbeitender Psycholog:innen (TeaP), Regensburg.

Riechmann, A. N., & Buschmeier, H. (2024). Automatic reconstruction of dialogue participants’ coordinating gaze behavior from multiple camera perspectives. Book of Abstracts of the 2nd International Multimodal Communication Symposium, 38–39.

Lohmer, V., & Kern, F. (2024). The role of interactive gestures in explanatory interactions. Second International Multimodal Communication Symposium (MMSYM) - Book of Abstract. 2nd International Multimodal Communication Symposium, Goethe-Universität Frankfurt, Deutschland.

Reijers, W., Matzner, T., Alpsancar, S., & Philippi, M. (2024). AI explainability, temporality, and civic virtue. Smart Ethics in the Digital World: Proceedings of the ETHICOMP 2024. 21th International Conference on the Ethical and Social Impacts of ICT. Universidad de La Rioja, 2024.

Alpsancar, S., Matzner, T., & Philippi, M. (2024). Unpacking the purposes of explainable AI. Smart Ethics in the Digital World: Proceedings of the ETHICOMP 2024. 21th International Conference on the Ethical and Social Impacts of ICT, 31–35.

Schaffer, M., & Buhl, H. M. (2024). The mental representation of the object of explanation in the process of co-constructive explanations. In U. Ansorge, B. Szaszkó, & L. Werner (Eds.), 53rd DGPs Congress - Abstracts.

Philippi, M. (2024). Von der Kunst, die richtigen Fragen zu stellen. Das Potential der Phänomenologie für die Technikfolgenabschätzung. TA24. TA24: Methoden für die Technikfolgenabschätzung – im Spannungsfeld zwischen bewährter Praxis und neuen Möglichkeiten, ÖAW Wien.

Philippi, M., & Mindlin, D. (2024). Dealing responsibly with tacit assumptions. An interdisciplinary approach to the integration of ethical reflexion into user modeling. EASST-4S. EASST-4S 2024: Making and doing transformations, VU Amsterdam.

Philippi, M. (2024). How to address ethical problems in a multi-perspective context: Interdisciplinary challenges of XAI. Fpet2024. fpet (Forum on Philosophy, Engineering, and Technology) 2024, ZKM Karlsruhe.

Philippi, M., & Reijers, W. (2024). Ethics of Explainable AI. Ethics and Normativity of Explainable AI, Paderborn.

Philippi, M. (2024). Dual-use potential in humanitarian UAVs. Human-machine learning? Interaction with deadly machines, Paderborn.

Philippi, M. (2024). Herausforderungen und Potentiale von erklärbarer KI für Technikfolgenabschätzung und Politikberatung. NTA11. NTA11: Politikberatungskompetenzen heute, Berlin.

Philippi, M. (2024). Transparency and persuasion: Chances and Risks of Explainable AI applications in modeling for policy. SAS24. SAS24: Modeling for Policy, HLRS Stuttgart.

Banh, N. C., & Scharlau, I. (2023). First steps towards real-time assessment of attentional weights and capacity according to TVA. 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). https://doi.org/10.23668/PSYCHARCHIVES.12945

Liedeker, F., & Cimiano, P. (2023). Dynamic Feature Selection in AI-based Diagnostic Decision Support for Epilepsy. 1st International Conference on Artificial Intelligence in Epilepsy and Neurological Disorders, Breckenridge, CO, USA .

Lohmer, V., Terfloth, L., & Kern, F. (2023). Explaining the Technical Artifact Quarto!: How Gestures are used in Everyday Explanations. First International Multimodal Communication Symposium - Book of Abstract. 1st International Multimodal Communication Symposium, Universität Pompeu Fabra, Barcelona.

Lazarov, S. T., Schaffer, M., & Ronoh, E. K. (2023). Approaches of Assessing Understanding Using Video-Recall Data. 2nd TRR 318 Conference “Measuring Understanding” , Paderborn.

Schaffer, M., & Buhl, H. M. (2023). Erklärungsverläufe und -inhalte aus Sicht Erklärender - eine qualitative Studie. PAEPS 19. Fachgruppentagung Pädagogische Psychologie: Lehren und Lernen in einer Welt im Wandel, Kiel.

Philippi, M. (2023). Trust and awareness in the context of search and rescue missions. SAS23. SAS23: Reliability or Trustworthiness?, HLRS Stuttgart.

Banh, N. C., & Scharlau, I. (2022). Effects of verbal negation on TVA’s capacity and weight parameters. In S. Malejka, M. Barth, H. Haider, & C. Stahl (Eds.), TeaP 2022 - Abstracts of the 64th Conference of Experimental Psychologists . Pabst Science Publishers. https://doi.org/10.23668/psycharchives.5677

Banh, N. C., Scharlau, I., & Rohlfing, K. J. (2022). Folgen wiederholter Negation auf die Aufmerksamkeit. In C. Bermeitinger & W. Greve (Eds.), 52. Kongress der Deutschen Gesellschaft für Psychologie.

Schaffer, M., Lea, B., Schulte, C., & Buhl, H. M. (2022). Die Anpassungen von Erklärungen an das Verständnis des Erklärgegenstandes der Gesprächspartner. In C. Bermeitinger & W. Greve (Eds.), 52nd DGPs Congress  - Abstracts.