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Path Analysis for the Halo Effect of Touch Sensations of Robots on Their Personality Impressions

机译:机器人的触摸感对其个人印象的光晕效应的路径分析

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Physical human-robot interaction plays an important role in social robotics, and touch is one of the key factors that influences human's impression of robots. However, very few studies have explored different conditions, and therefore, few systematic results have been obtained. As the first step toward addressing this issue, we studied the types of impressions of robot personality that humans may experience when they touch a soft part of a robot. In the study, the left forearm of a child-like android robot "Affetto" was exposed; this forearm was made of silicone rubber and can be replaced with one of other three forearms providing different sensations of hardness upon touching. Participants were asked to touch the robot's forearm and to fill evaluation questionnaires on 19 touch sensations and 46 personality impressions under each of four conditions with different forearms. Four impression factors for touch sensations and three for personality impressions were extracted from the evaluation scores by the factor analysis method. The causal relationships between these factors were analyzed by the path analysis method. Several significant causal relationships were found, for example, between preferable touch sensations and likable personality impressions. The results will help design robots' personality impression by designing touch sensations more systematically.
机译:物理人机交互在社交机器人中起着重要作用,而触摸是影响人对机器人印象的关键因素之一。但是,很少有研究探索不同的条件,因此,很少获得系统的结果。作为解决此问题的第一步,我们研究了人类触摸机器人的柔软部位时可能会遇到的机器人个性印象类型。在这项研究中,一个类似儿童的机器人机器人“ Affetto”的左前臂暴露在外。该前臂由硅橡胶制成,可以替换为其他三个前臂之一,在触摸时提供不同的硬度感。要求参与者触摸机器人的前臂,并在四种具有不同前臂的情况下,分别填写19种触摸感觉和46种性格印象的评估问卷。通过因子分析法从评估分数中提取出四个触感印象因子和三个人格印象因子。通过路径分析法分析了这些因素之间的因果关系。例如,在令人愉悦的触感和宜人的个性印象之间,发现了几种重要的因果关系。结果将通过更系统地设计触摸感来帮助设计机器人的个性印象。

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