TY - GEN
T1 - Towards understanding causality-a retrospective study of using explanations in interactions between a humanoid robot and autistic children
AU - Sarda Gou, Marina
AU - Lakatos, Gabriella
AU - Holthaus, Patrick
AU - Wood, Luke
AU - Mousavi, Mohammadreza
AU - Robins, Ben
AU - Amirabdollahian, Farshid
N1 - © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/RO-MAN53752.2022.9900660
PY - 2022/9/30
Y1 - 2022/9/30
N2 - Children with Autism Spectrum Disorder (ASD) often struggle with visual perspective taking (VPT) skills and the understanding that others might have viewpoints and perspectives that are different from their own; i.e., the ability to understand that two or more people looking at the same object from different positions might not see the same thing. The understanding of VPT can be improved by introducing explicit causal explanations in the interactions involving autistic children. Moreover, the use of social robots can help autistic children improve their social skills. We present a retrospective study with Kaspar, a humanoid social robot specifically designed to interact with children with ASD, which aims to define the initial protocol for a study on the effect of causal explanation in VPT provided by Kaspar. To this end, we investigate in which scenarios causal explanations, provided either by researchers or by Kaspar, contribute substantially to the child's understanding of VPT. The results have helped us identify multiple interaction categories that benefit from causal explanation. We have used these results in order to define new interaction games that benefit from causal explanations. These are now progressing through usability assessment experiments.
AB - Children with Autism Spectrum Disorder (ASD) often struggle with visual perspective taking (VPT) skills and the understanding that others might have viewpoints and perspectives that are different from their own; i.e., the ability to understand that two or more people looking at the same object from different positions might not see the same thing. The understanding of VPT can be improved by introducing explicit causal explanations in the interactions involving autistic children. Moreover, the use of social robots can help autistic children improve their social skills. We present a retrospective study with Kaspar, a humanoid social robot specifically designed to interact with children with ASD, which aims to define the initial protocol for a study on the effect of causal explanation in VPT provided by Kaspar. To this end, we investigate in which scenarios causal explanations, provided either by researchers or by Kaspar, contribute substantially to the child's understanding of VPT. The results have helped us identify multiple interaction categories that benefit from causal explanation. We have used these results in order to define new interaction games that benefit from causal explanations. These are now progressing through usability assessment experiments.
UR - http://www.scopus.com/inward/record.url?scp=85140779190&partnerID=8YFLogxK
U2 - 10.1109/RO-MAN53752.2022.9900660
DO - 10.1109/RO-MAN53752.2022.9900660
M3 - Conference contribution
SN - 978-1-6654-0680-2
T3 - RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots
SP - 323
EP - 328
BT - 2022 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Napoli, Italy
ER -