Prior research in human robot interaction (HRI) has largely focused on whether users adopt an intentional stance towards robots. We propose a methodology to investigate people's explanations of robotic behavior that emphasizes finer-grained distinctions between explanations. The study also explores how users explanations change according to the modelling of a form of social competence in the robot by means of a computational cognitive architecture. Findings offer initial insight into how different explanatory strategies resonate with users.

Augello, A., Rausa, M., Datteri, E., Zagni, N., Lieto, A. (2025). How are people's explanations of the behaviour of robots structured? An exploratory study and discussion. In 2025 IEEE Conference on Pervasive and Intelligent Computing (PICom) (pp.66-73). Institute of Electrical and Electronics Engineers Inc. [10.1109/PICom68402.2025.00015].

How are people's explanations of the behaviour of robots structured? An exploratory study and discussion

Datteri E.;
2025

Abstract

Prior research in human robot interaction (HRI) has largely focused on whether users adopt an intentional stance towards robots. We propose a methodology to investigate people's explanations of robotic behavior that emphasizes finer-grained distinctions between explanations. The study also explores how users explanations change according to the modelling of a form of social competence in the robot by means of a computational cognitive architecture. Findings offer initial insight into how different explanatory strategies resonate with users.
paper
Cognitive Robotics; Explanations; Social Robotics;
English
23rd IEEE Conference on Pervasive and Intelligent Computing, PICom 2025 - 21-24 October 2025
2025
2025 IEEE Conference on Pervasive and Intelligent Computing (PICom)
9798331590925
2025
66
73
none
Augello, A., Rausa, M., Datteri, E., Zagni, N., Lieto, A. (2025). How are people's explanations of the behaviour of robots structured? An exploratory study and discussion. In 2025 IEEE Conference on Pervasive and Intelligent Computing (PICom) (pp.66-73). Institute of Electrical and Electronics Engineers Inc. [10.1109/PICom68402.2025.00015].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/628685
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