People Do not Automatically Take the Level-1 Visual Perspective of Humanoid Robot Avatars

Chengli Xiao*, Ya Fan, Jingyu Zhang, Renlai Zhou*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

14 Citations (Scopus)

Abstract

Taking the perspective of others is critical for both human–human and human–robot interactions. Previous studies using the dot perspective task have revealed that people could automatically process what other people can see. In this study, following the classical dot perspective task, we showed that Chinese participants could not automatically process humanoid robot avatars’ perspective when only judging from self-perspective (Experiment 1) or randomly judging between self and avatar’s perspectives (Experiment 2), and people’s anthropomorphism tendency was related to the efficiency but not the automaticity of perspective-taking. These results revealed that human–human and human–robot interactions might be different in the basic visual process, and suggested the anthropomorphism tendency in people as an influential factor in human–robot interaction.

Original languageEnglish
Pages (from-to)165-176
Number of pages12
JournalInternational Journal of Social Robotics
Volume14
Issue number1
Online published31 Mar 2021
DOIs
Publication statusPublished - Jan 2022
Externally publishedYes

Funding

This study was funded by the Major Projects of Philosophy and Social Science Research in Jiangsu Universities (Grant Number 2018SJZDA020), and the Fourth Pilot-research Program for Human Spaceflight of China (Grant Number 030602).

Research Keywords

  • Anthropomorphism
  • Human–robot interaction
  • Individual differences
  • Visual perspective‐taking

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