Kaspar Causally Explains

Hugo Araujo, Patrick Holthaus, Marina Sarda Gou, Gabriella Lakatos, Giulia Galizia, Luke Wood, Ben Robins, Mohammadreza Mousavi, Farshid Amirabdollahian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publicationProceedings of 14thInternational Conference on Social Robotics, ICSR 2022, Part II
EditorsFilippo Cavallo, John-John Cabibihan, Laura Fiorini, Alessandra Sorrentino, Hongsheng He, Xiaorui Liu, Yoshio Matsumoto, Shuzhi Sam Ge
Place of PublicationFlorence, Italy
PublisherSpringer Nature
ChapterContents – Part II
Number of pages15
VolumeLNAI 13818
ISBN (Electronic)978-3-031-24670-8
ISBN (Print)978-3-031-24669-2
Publication statusPublished - 2 Feb 2023
Event14th International Conference on Social Robotics - Florence, Italy
Duration: 13 Dec 202216 Dec 2022

Publication series

NameLecture Notes in Computer Science


Conference14th International Conference on Social Robotics
Abbreviated titleICSR
Internet address


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