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

机译:机器人机器人触摸感应对其个性印象的路径分析

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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:物理人员机器人互动在社会机器人中发挥着重要作用,触摸是影响人类对机器人印象的关键因素之一。然而,很少有研究探索了不同的条件,因此,已经获得了很少的系统结果。作为解决这个问题的第一步,我们研究了人类人格的展示展示态度,当他们触摸机器人的软部分时,人类可能会经历。在研究中,露出儿童的儿童的左前臂“Affetto”暴露;该前臂由硅橡胶制成,可以用其他三个前臂之一代替,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,并在具有不同前臂的四个条件下填充19个触摸感觉和46个人格印象的评估问卷。通过因子分析方法从评估评分中提取四个触摸感觉和三个人格印象的印模因素。路径分析方法分析了这些因素之间的因果关系。例如,在优选的触摸感和可爱的人格印象之间发现了几种显着的因果关系。结果将通过更系统地设计触摸触摸来帮助设计机器人的人格印象。

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