The Role of Visual Perspective Taking in Human-Robot Collaboration

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

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


We present a video demonstration of our human-robot collaboration experiment investigating visual perspective taking and trust. In the experiment, participants interact with a Vector robot to help it navigate out of a maze. Both robot and participant have a unique view of the maze, with participants viewing it from above and Vector from a point-of-view perspective. The maze itself includes a series of junctions with several route options. After announcing the task objectives, the robot navigates autonomously and uses verbal utterances to communicate route options and route suggestions at each junction. Junction decisions are made after Vector announces the route options, listens to participants' selection, offers a route suggestion, and processes participants' final decision. So, to efficiently navigate to the mazes exit, participants' must assume Vector's visual perspective to understand the direction it is referring to. As outlined in the conclusion, this experiment intended to investigate the role of visual perspective taking on trust dynamics in collaborative human-robot interaction, with a view to supporting further work on robot theory of mind (ToM).

Original languageEnglish
Title of host publicationHRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Number of pages3
ISBN (Electronic)9798400703232
Publication statusPublished - 11 Mar 2024
Event19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024 - Boulder, United States
Duration: 11 Mar 202415 Mar 2024


Conference19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024
Abbreviated titleHRI 2024
Country/TerritoryUnited States


  • human-robot collaboration
  • Human-robot interaction
  • robot navigation
  • trust
  • visual perspective taking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering


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