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

Hoffmann, C., & Thommes, K. (2024). Can leaders motivate employees’ energy-efficient behavior with thoughtful communication? Journal of Environmental Economics and Management, Article 102990. https://doi.org/10.1016/j.jeem.2024.102990

Haake, C.-J., & Schneider, M. (2024). Playing games with QCA: Measuring the explanatory power of single conditions with the Banzhaf index. Journal of International Management, 30(2).

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

Heid, S., Hanselle, J., 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

Auer, T. F., Hoppe, J. A., & Thommes, K. (2024). Time perspectives and collaborative performance in creative tasks. Journal of Organizational Effectiveness: People and Performance, 11(4), 1023–1042. https://doi.org/10.1108/joepp-07-2023-0285

Kornowicz, J., & Thommes, K. (2024). Algorithm, Expert, or Both? Evaluating the Role of Feature Selection Methods on User Preferences and Reliance. ArXiv. https://doi.org/10.48550/ARXIV.2408.01171

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

Thommes, K., Lammert, O., Schütze, C., Richter, B., & Wrede, B. (2024). Human Emotions in AI Explanations. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-63803-9_15

Booshehri, M., Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese, M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., & Wrede, B. (2024). Towards a Computational Architecture for Co-Constructive Explainable Systems. Proceedings of the 2024 Workshop on Explainability Engineering, 20–25. https://doi.org/10.1145/3648505.3648509

Schütze, C., Richter, B., Lammert, O., Thommes, K., & Wrede, B. (2024). Static Socio-demographic and Individual Factors for Generating Explanations in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies? HAI ’24: Proceedings of the 12th International Conference on Human-Agent Interaction, 141–149. https://doi.org/10.1145/3687272.3688300

Thommes, K., Lammert, O., Schütze, C., Richter, B., & Wrede, B. (2024). Human Emotions in AI Explanations.

Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., & Thommes, K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems. PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 21, 233.

Thommes, K., Iseke, A., & Schneider, M. (Eds.). (2024). Digitales und prädiktives Kompetenzmanagement. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-68838-0

Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. In Artificial Intelligence in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14

Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. In Artificial Intelligence in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14

Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. In Artificial Intelligence in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14

Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand Explanations on Non-expert User Interaction with AI. In Artificial Intelligence in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14

Lebedeva, A., Protte, M., van Straaten, D., & Fahr, R. (2024). Involvement of domain experts in the AI training does not affect adherence – An AutoML study. In Advances in Information and Communication (Vol. 919, pp. 178–204). Springer, Cham. https://doi.org/10.1007/978-3-031-53960-2_13

Schneider, M., & Radermacher, K. (2023). Wie Arbeitgeber strategisch gegen den Arbeitskräftemangel vorgehen. Wie Arbeitgeber strategisch gegen den Arbeitskräftemangel vorgehen., 580.