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 Buhl, Paderborn University
Prof. Dr.-Ing. Stefan Kopp, Bielefeld University
Prof. Dr. Katharina Rohlfing, Paderborn University
Staff
Josephine Beryl Fisher, Paderborn University
Amelie Sophie Robrecht, Bielefeld University
Erick K. Ronoh, Paderborn University
Support staff
Ronja Baumgarten, Paderborn University
Viviane Gladow, Paderborn University
Alessia Heimsath, Paderborn University
Fabian Heinrich, Bielefeld University
Britta Meyer, Paderborn University
Celina Nitschke, Paderborn University
Marco Verwiebe, Paderborn University
Alexander Vorwerk, Bielefeld University
Marie Weise, Paderborn University
Publications
Fisher, J. B., Rohlfing, K. J., Donnellan, E., Grimminger, A., Gu, Y., Vigliocco, G. (2022). Explain with, rather than explain to: How explainees shape their learning. Konferenz-Poster zur „CogSci 2022 Toronto“. Poster anzeigen
Robrecht, A. and Kopp, S. (2023). SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation. DOI: 10.5220/0011671300003393
Fisher, J.B., Lohmer, V., Kern, F. et al. (2022) Exploring Monological and Dialogical Phases in Naturally Occurring Explanations. Künstl Intell. https://doi.org/10.1007/s13218-022-00787-1