心理学
透视图(图形)
凝视
吸引力
认知心理学
任务(项目管理)
对象(语法)
质量(理念)
情感(语言学)
社会心理学
透视法
认知
社交暗示
点(几何)
沟通
人工智能
计算机科学
哲学
几何学
数学
认识论
管理
神经科学
移情
精神分析
经济
作者
Massimiliano Conson,Isa Zappullo,Gennaro Cordasco,Luigi Trojano,Gennaro Raimo,Roberta Cecere,Chiara Baiano,Anna Lauro,Anna Esposito
标识
DOI:10.1177/17470218241300252
摘要
We investigated the role of humanisation in Visual Perspective-Taking (VPT) by testing whether and how agent’s human-likeness and attractiveness (“hedonic quality”) interact with social cues (action and eye gaze) in influencing the participants’ disposition to embody another’s perspective. In a VPT task, participants viewed scenes displaying an actor (human or robotic) grasping, gazing (or both) a target object, or adopting a still posture, and were required to judge the left/right location of the target, without receiving any instruction on the perspective to be assumed. Across two studies, we selected human and robotic agents to use as actors in the VPT task. Results consistently demonstrated that participants could be effectively clustered by a data-driven method into two perspective-taking styles, depending on the presence of a systematic tendency to locate the target object in the VPT scenarios from own (egocentric) or the actor’s (altercentric) point of view. The human versus nonhuman nature of the agent seemed able to affect the participants’ egocentric or altercentric tendency whereas both the agent’s hedonic quality and social cues were not able to influence this propensity. Identifying the factors influencing altercentrism during human–robot interactions can be essential for developing artificial agents favouring user’s acceptance and willingness to interact. In this respect, considering differences among individuals in their propensity to take another’s point of view may be of central importance. Clustering approaches can represent a useful means to capture interindividual differences in this central aspect of human social cognition.
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