Publication:
Trust in robot–robot scaffolding

dc.contributor.authorKırtay, M.
dc.contributor.authorHafner, V. V. V.
dc.contributor.authorAsada, Minoru
dc.contributor.authorÖztop, Erhan
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorÖZTOP, Erhan
dc.date.accessioned2024-01-29T08:57:36Z
dc.date.available2024-01-29T08:57:36Z
dc.date.issued2023-12-01
dc.description.abstractThe study of robot trust in humans and other agents is not explored widely despite its importance for the near future human-robot symbiotic societies. Here, we propose that robots should trust partners that tend to reduce their computational load, which is analogous to human cognitive load. We test this idea by adopting an interactive visual recalling task. In the first set of experiments, the robot can get help from online instructors with different guiding strategies to decide which one it should trust based on the computational load it experiences during the experiments. The second set of experiments involves robot-robot interactions. Akin to the robot-online instructor case, the Pepper robot is asked to scaffold the learning of a less capable 'infant' robot (Nao) with or without being equipped with the cognitive abilities of theory of mind and task experience memory to assess the contribution of these cognitive abilities to scaffolding performance. Overall, the results show that robot trust based on computational/cognitive load within a sequential decision-making framework leads to effective partner selection and robot-robot scaffolding. Thus, using the computational load incurred by the cognitive processing of a robot may serve as an internal signal for assessing the trustworthiness of interaction partners.en_US
dc.description.sponsorshipDeutsche Forschungsgemeinschaft ; Japan Society for the Promotion of Science ; Osaka University
dc.description.versionPublisher version
dc.identifier.doi10.1109/TCDS.2023.3235974en_US
dc.identifier.endpage1852en_US
dc.identifier.issn2379-8920en_US
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85147278702
dc.identifier.startpage1841en_US
dc.identifier.urihttp://hdl.handle.net/10679/9108
dc.identifier.urihttps://doi.org/10.1109/TCDS.2023.3235974
dc.identifier.volume15en_US
dc.language.isoengen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Cognitive and Developmental Systems
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsopenAccess
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordsCognitive loaden_US
dc.subject.keywordsDecision makingen_US
dc.subject.keywordsRobot trusten_US
dc.subject.keywordsScaffoldingen_US
dc.subject.keywordsVisual recallingen_US
dc.titleTrust in robot–robot scaffoldingen_US
dc.typearticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

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