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...

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Main Authors: Yao Song, Yan Luximon
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/18/5087
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author Yao Song
Yan Luximon
author_facet Yao Song
Yan Luximon
author_sort Yao Song
collection DOAJ
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.
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spelling doaj.art-c4b8db172b3441b3a431bc4dc9b1d6742023-11-20T12:51:56ZengMDPI AGSensors1424-82202020-09-012018508710.3390/s20185087Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot DesignYao Song0Yan Luximon1The Hong Kong Polytechnic University, Kowloon 999077, Hong KongThe Hong Kong Polytechnic University, Kowloon 999077, Hong KongAs 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.https://www.mdpi.com/1424-8220/20/18/5087AI agenthuman-robot interactionsocial robotfacial anthropomorphic trustworthinessfacial features
spellingShingle Yao Song
Yan Luximon
Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design
Sensors
AI agent
human-robot interaction
social robot
facial anthropomorphic trustworthiness
facial features
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 AI agent
human-robot interaction
social robot
facial anthropomorphic trustworthiness
facial features
url https://www.mdpi.com/1424-8220/20/18/5087
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