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Exploring space for robot mistakes in child robot interactions
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-6158-4818
Ctr INRIA Bordeaux, Talence, France..
SCIP, Zurich, Switzerland..
Univ Zurich, Zurich, Switzerland..
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2022 (English)In: Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems, ISSN 1572-0373, E-ISSN 1572-0381, Vol. 23, no 2, p. 243-288Article in journal (Refereed) Published
Abstract [en]

Understanding the impact of robot errors in child-robot-interactions (CRI) is critical, as current technological systems are still limited and may randomly present a variety of mistakes during interactions with children. In this study we manipulate a task-based error of a NAO robot during a semi-autonomous computational thinking task implemented with the Cozmo robot. Data from 72 children aged 7-10 were analysed regarding their attitudes towards NAO (social trust, competency trust, liking, and perceived agency), their behaviour towards the robot (self-disclosure, following recommendations), as well as their task performance. We did not find quantitative effects of the robot's error on children's self-reported attitudes, behaviour, or task performance. Age was also not significantly related to either social attitudes or behaviours towards NAO, although there were some age-related differences in task performance. Potential reasons behind the lack of statistical effects and limitations of the study with regards to the manipulation of robot errors are discussed and insights into the design of future CRI studies provided.

Place, publisher, year, edition, pages
John Benjamins Publishing Company , 2022. Vol. 23, no 2, p. 243-288
Keywords [en]
child-robot-interaction, human-robot-interaction, user study, education, trust, liking, agency, robot errors, faulty robots, in-the-wild
National Category
Human Computer Interaction Robotics
Identifiers
URN: urn:nbn:se:kth:diva-326391DOI: 10.1075/is.21034.stoISI: 000958575300004Scopus ID: 2-s2.0-85153283943OAI: oai:DiVA.org:kth-326391DiVA, id: diva2:1754265
Note

QC 20230503

Available from: 2023-05-03 Created: 2023-05-03 Last updated: 2023-05-03Bibliographically approved

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Stower, Rebecca

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  • de-DE
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