Project A01: Adaptive explanation generation

While explaining something, people generally take their conversation partner’s reactions into account and adapt their explanation accordingly. In Project A01, researchers from linguistics, psychology, and computer science are studying two components of this adjustment: cognitive adaptivity and interactive adaptivity. In cognitive adaptivity, the person doing the explaining has a pre-conception of their counterpart, which then changes during the explanatory process. This is referred to as the partner model. Interactive adaptivity refers to how the explainee adjusts their formulations of the explanations as the dialogue unfolds. The interdisciplinary team of researchers is investigating how both of these forms of adaptivity are interconnected, and how for instance the partner model can be used as a means for adapting formulations. The team will observe and interview approximately 300 interlocutors engaged in explanatory situations. Researchers are now working to develop a dynamic computational model of adaptive explanation based on this data.

 

Research areas: Psychology, Computer science, Linguistics

Project leaders

Prof. Dr. Heike M. Buhl

Pädagogische Psychologie und Entwicklungspsychologie

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Prof. Dr.-Ing. Stefan Kopp

Transregional Collaborative Research Centre 318

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Prof. Dr. Katharina Rohlfing

Transregional Collaborative Research Centre 318

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Staff

Josephine Beryl Fisher

Transregional Collaborative Research Centre 318

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Amelie Robrecht, M.A.

Transregional Collaborative Research Centre 318

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Erick Ronoh, M.Sc.

Transregional Collaborative Research Centre 318

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Support staff

Lisa Gottschalk, Bielefeld University

Alessia Heimsath, Paderborn University

Christoph Kowalski, Bielefeld University

Celina Nitschke, Paderborn University

Marco Verwiebe, Paderborn University

Marie Weise, Paderborn University

Joanna Wilkens, Paderborn University

Publikationen

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.
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.
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