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

Abstract / Description of output

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
Place of PublicationUnited States
PublisherACM Association for Computing Machinery
ISBN (Print)9798400707346
Publication statusPublished - 11 Jul 2023
EventFirst International Symposium on Trustworthy Autonomous Systems - Heriot-Watt University, Edinburgh, United Kingdom
Duration: 10 Jul 202312 Jul 2023
Conference number: 1


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

Keywords / Materials (for Non-textual outputs)

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


Dive into the research topics of 'Theory of Mind and Trust in Human-Robot Navigation'. Together they form a unique fingerprint.

Cite this