可信赖性
模式(遗传算法)
机器人
感知
心理学
面部知觉
人工智能
人机交互
社会认知
社交机器人
计算机科学
认知心理学
人机交互
沟通
社会心理学
机器学习
移动机器人
机器人控制
神经科学
作者
Yao Song,Yan Luximon,Yan Luximon
标识
DOI:10.1016/j.apergo.2021.103420
摘要
As the nature of human-robot relationships have become increasingly bound to shift from supervisor–machine to friend–companion, people have exhibited an increasing interest in making social judgments toward such anthropomorphic objects, such as trustworthiness. However, the facial features of social robots and their potential effect on anthropomorphic trustworthiness are seldom analyzed and discussed comprehensively. This study examined whether the trustworthiness perception toward a social robot shared similarity with baby schema features on the human face. It also explored the effects of different combinations of baby schema facial features, especially the positions and sizes of the eyes and mouth, on facial anthropomorphic trustworthiness. A 5-way mixed experiment (N = 270) was conducted accordingly. The results indicated that people would experience a high level of facial anthropomorphic trustworthiness toward robots with baby schema features (i.e., large eyes, with medium vertical and horizontal positions of the eyes and mouth). This paper contributes to the literature on facial anthropomorphic trustworthiness in human-robot interaction and provides suggestions for social robot design.
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