Cargando…

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

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 trustwo...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Yao, Luximon, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571117/
https://www.ncbi.nlm.nih.gov/pubmed/32906760
http://dx.doi.org/10.3390/s20185087
_version_ 1783597102651146240
author Song, Yao
Luximon, Yan
author_facet Song, Yao
Luximon, Yan
author_sort Song, Yao
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7571117
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75711172020-10-28 Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design Song, Yao Luximon, Yan Sensors (Basel) Review 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. MDPI 2020-09-07 /pmc/articles/PMC7571117/ /pubmed/32906760 http://dx.doi.org/10.3390/s20185087 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Song, Yao
Luximon, Yan
Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
title Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
title_full Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
title_fullStr Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
title_full_unstemmed Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
title_short Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
title_sort trust in ai agent: a systematic review of facial anthropomorphic trustworthiness for social robot design
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571117/
https://www.ncbi.nlm.nih.gov/pubmed/32906760
http://dx.doi.org/10.3390/s20185087
work_keys_str_mv AT songyao trustinaiagentasystematicreviewoffacialanthropomorphictrustworthinessforsocialrobotdesign
AT luximonyan trustinaiagentasystematicreviewoffacialanthropomorphictrustworthinessforsocialrobotdesign