Theory of Mind and Trust in Human-Robot Navigation

Peter E. McKenna, Marta Romeo, Jhielson Pimentel, Mohammed Diab, Meriam Moujahid, Helen Hastie, Yiannis Demiris

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

2 Citations (Scopus)


In human-robot interaction, trust is affected by human, robot, and environmental factors. In the proposed research, we consider each of these factors, by focusing on the contribution of robot theory of mind (ToM), human visual perspective taking (a concept related to ToM), and environmental complexity, to the development and maintenance of human-robot trust. To do so, our experiment combines a psychological assessment of visual perspective taking (the Director Task), with a trust-based robot navigation task. Using the AREA model of Responsible Research and Innovation (RRI), we also highlight the implications of our experiment, in the context of trustworthy robotics and human-robot collaboration. We round off the article with a theoretical and research development synopses related to robot ToM and trust, and future work to be conducted in this area.
Original languageEnglish
Title of host publicationTAS '23: Proceedings of the First International Symposium on Trustworthy Autonomous Systems
PublisherAssociation for Computing Machinery
ISBN (Print)9798400707346
Publication statusPublished - 11 Jul 2023
EventFirst International Symposium on Trustworthy Autonomous Systems 2023 - Edinburgh, United Kingdom
Duration: 11 Jul 202312 Jul 2023


ConferenceFirst International Symposium on Trustworthy Autonomous Systems 2023
Abbreviated titleTAS '23
Country/TerritoryUnited Kingdom
Internet address


  • human-robot interaction
  • theory of mind
  • trust
  • visual perspective taking

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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