Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design

Yao Song, Yan Luximon

Research output: Journal article publicationReview articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

As an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features that could improve facial anthropomorphic trustworthiness for social robot. Based on the literature from human facial perception, product, and robot face evaluation, this paper systematically reviews, evaluates, and summarizes static facial features, dynamic features, their combinations, and related emotional expressions, shedding light on further exploration of facial anthropomorphic trustworthiness for social robot design.

Original languageEnglish
Article number5087
Pages (from-to)1-21
Number of pages21
JournalSensors (Basel, Switzerland)
Volume20
Issue number18
DOIs
Publication statusPublished - 2 Sep 2020

Keywords

  • AI agent
  • facial anthropomorphic trustworthiness
  • facial features
  • human-robot interaction
  • social robot

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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