Abstract
The Kaspar robot has been used with great success to work as an education and social mediator with children with autism spectrum disorder. Enabling the robot to automatically generate causal explanations is key to enrich the interaction scenarios for children and promote trust in the robot. We present a theory of causal explanation to be embedded in Kaspar. Based on this theory, we build a causal model and an analysis method to calculate causal explanations. We implement our method in Java with inputs provided by a human operator. This model automatically generates the causal explanation that are then spoken by Kaspar. We validate our explanations for user satisfaction in an empirical evaluation.
Original language | English |
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Title of host publication | Social Robotics |
Subtitle of host publication | Proceedings of 14thInternational Conference on Social Robotics, ICSR 2022, Part II |
Editors | Filippo Cavallo, John-John Cabibihan, Laura Fiorini, Alessandra Sorrentino, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge |
Place of Publication | Florence, Italy |
Publisher | Springer Nature |
Chapter | Contents – Part II |
Pages | 85-99 |
Number of pages | 15 |
Volume | LNAI 13818 |
ISBN (Electronic) | 978-3-031-24670-8 |
ISBN (Print) | 978-3-031-24669-2 |
DOIs | |
Publication status | Published - 2 Feb 2023 |
Event | 14th International Conference on Social Robotics - Florence, Italy Duration: 13 Dec 2022 → 16 Dec 2022 https://www.icsr2022.it/ |
Publication series
Name | Lecture Notes in Computer Science |
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Conference
Conference | 14th International Conference on Social Robotics |
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Abbreviated title | ICSR |
Country/Territory | Italy |
City | Florence |
Period | 13/12/22 → 16/12/22 |
Internet address |