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What's at Stake?: Robot explanations matter for high but not low-stake scenarios
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0001-9242-9127
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-6158-4818
Uppsala Univ, Dept Informat Technol, Uppsala, Sweden..ORCID iD: 0000-0002-3309-3552
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-2212-4325
2023 (English)In: 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 2421-2426Conference paper, Published paper (Refereed)
Abstract [en]

Although the field of Explainable Artificial Intelligence (XAI) in Human-Robot Interaction is gathering increasing attention, how well different explanations compare across HRI scenarios is still not well understood. We conducted an exploratory online study with 335 participants analysing the interaction between type of explanation (counterfactual, feature-based, and no explanation), the stake of the scenario (high, low) and the application scenario (healthcare, industry). Participants viewed one of 12 different vignettes depicting a combination of these three factors and rated their system understanding and trust in the robot. Compared to no explanation, both counterfactual and feature-based explanations improved system understanding and performance trust (but not moral trust). Additionally, when no explanation was present, high-stake scenarios led to significantly worse performance trust and system understanding. These findings suggest that explanations can be used to calibrate users' perceptions of the robot in high-stake scenarios.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 2421-2426
Series
IEEE RO-MAN, ISSN 1944-9445
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-341992DOI: 10.1109/RO-MAN57019.2023.10309566ISI: 001108678600318Scopus ID: 2-s2.0-85186964360OAI: oai:DiVA.org:kth-341992DiVA, id: diva2:1825214
Conference
32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), AUG 28-31, 2023, Busan, SOUTH KOREA
Note

Part of proceedings ISBN 979-8-3503-3670-2

Not duplicate with DiVA 1198533

QC 20240109

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-03-21Bibliographically approved

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Melsión, Gaspar IsaacStower, RebeccaLeite, Iolanda

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