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对 AI 代理的信任:用于社交机器人设计的面部拟人化可信度的系统评价。

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

机构信息

The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong.

出版信息

Sensors (Basel). 2020 Sep 7;20(18):5087. doi: 10.3390/s20185087.

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.

摘要

作为一种新兴的人工智能系统,社交机器人可以与人类进行社交沟通和互动。尽管这个领域越来越受到关注,但很少有研究试图系统地总结出可以提高社交机器人面部拟人可信度的潜在特征。本文基于人类面部感知、产品和机器人面部评估的文献,系统地回顾、评估和总结了静态面部特征、动态特征及其组合,以及相关的情感表达,为进一步探索社交机器人设计的面部拟人可信度提供了启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfe3/7571117/2fb050843bf9/sensors-20-05087-g001.jpg

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