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http://hdl.handle.net/10397/89037
Title: | Trust in AI agent : a systematic review of facial anthropomorphic trustworthiness for social robot design | Authors: | Song, Y Luximon, Y |
Issue Date: | 2020 | Source: | Sensors (Switzerland), 2020, v. 20, no. 18, 5087, p. 1-21 | 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. | Keywords: | Ai agent Facial anthropomorphic trustworthiness Facial features Human-Robot interaction Social robot |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sensors (Switzerland) | ISSN: | 1424-8220 | DOI: | 10.3390/s20185087 | Rights: | © 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/). The following publication Song Y, Luximon Y. Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design. Sensors. 2020; 20(18):5087, is available at https://doi.org/10.3390/s20185087 |
Appears in Collections: | Journal/Magazine Article |
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