More Than Meets the Eye? An Experimental Design to Test Robot Visual Perspective-Taking Facilitators Beyond Mere-Appearance

Joel William Currie, Katrina McDonough, Agnieszka Wykowska, Maria Giannaccini, Patric Bach

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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Abstract

Visual Perspective Taking (VPT) underpins human social interaction, from joint action to predicting others' future actions and mentalizing about their goals and affective/mental states. Substantial progress has been made in developing artificial VPT capabilities in robots. However, as conventional VPT tasks rely on the (non-situated, disembodied) presentation of robots on computer screens, it is unclear how a robot’s socially reactive and goal-directed behaviours prompt people to take its perspective. We provide a novel experimental paradigm that robustly measures the extent to which human interaction partners take a robot’s visual perspective during face-to-face human-robot-interactions, by measuring how much a robot’s visual perspective is spontaneously integrated with one’s own. The experimental task design of our upcoming user study allows us to investigate the role of robot features beyond its human-like appearance, which have driven research so far, targeting instead its socially reactive behaviour and task engagement with the human interaction partner.
Original languageEnglish
Title of host publication Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
Subtitle of host publicationHRI '24 Companion
PublisherAssociation for Computing Machinery (ACM)
ISBN (Print)979-8-4007-0323-2/24/03
DOIs
Publication statusPublished - 11 Mar 2024
Event19th Annual ACM/IEEE International Conference on Human Robot Interaction - Boulder, United States
Duration: 11 Mar 202414 Mar 2024
https://humanrobotinteraction.org/2024/

Conference

Conference19th Annual ACM/IEEE International Conference on Human Robot Interaction
Abbreviated titleHRI 2024
Country/TerritoryUnited States
CityBoulder
Period11/03/2414/03/24
Internet address

Bibliographical note

We thank Jim Urquhart, Louis Aldrich, Gemma Cutler, Thomas
Alexander and Fiammetta Marini. This work was supported by funding from the SGSSS/ESRC Steers Competition 2020/21(ES/P000681/1,
2605775) to PB and MEG

Keywords

  • human-robot interaction (HRI)
  • perspective taking
  • non-verbal behaviours
  • humanoid robot
  • mind perception

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