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.

Kaspar Causally Explains / Araujo, Hugo; Holthaus, Patrick; Sarda Gou, Marina; Lakatos, Gabriella; Galizia, Giulia; Wood, Luke; Robins, Ben; Reza Mousavi &, Mohammad; Amirabdollahian, Farshid. - 13818:(2023), pp. 85-99. (Intervento presentato al convegno 14th International Conference on Social Robotics, ICSR 2022 tenutosi a Italy, Florence nel 13/12/2022-16/12/2022) [10.1007/978-3-031-24670-8_9].

Kaspar Causally Explains

Giulia Galizia;
2023

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.
2023
2-feb-2023
14th International Conference on Social Robotics, ICSR 2022
Italy, Florence
13/12/2022-16/12/2022
13818
85
99
Araujo, Hugo; Holthaus, Patrick; Sarda Gou, Marina; Lakatos, Gabriella; Galizia, Giulia; Wood, Luke; Robins, Ben; Reza Mousavi &, Mohammad; Amirabdollahian, Farshid
Kaspar Causally Explains / Araujo, Hugo; Holthaus, Patrick; Sarda Gou, Marina; Lakatos, Gabriella; Galizia, Giulia; Wood, Luke; Robins, Ben; Reza Mousavi &, Mohammad; Amirabdollahian, Farshid. - 13818:(2023), pp. 85-99. (Intervento presentato al convegno 14th International Conference on Social Robotics, ICSR 2022 tenutosi a Italy, Florence nel 13/12/2022-16/12/2022) [10.1007/978-3-031-24670-8_9].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1309646
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact