Abel Miriam, Kuz Sinem, Patel Harshal J, Petruck Henning, Schlick Christopher M, Pellicano Antonello, Binkofski Ferdinand C
Division for Clinical and Cognitive Sciences, Department of Neurology Medical Faculty, RWTH Aachen University, Aachen, Germany.
Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Aachen, Germany.
Front Psychol. 2020 Apr 30;11:797. doi: 10.3389/fpsyg.2020.00797. eCollection 2020.
Robots are gaining an increasingly important role in industrial production. Notably, a high level of acceptance is an important factor for co-working situation between human and robot. The aim of the present study was to investigate the differences in the perception of anthropomorphic and robotic movements using models consisting of a virtual robot and a digital human. Videos of each model displayed different degrees of human likeness or robot likeness in speed and trajectories of placing movements. Female and male participants were asked to rate on a Likert scale the perceived levels of human likeness or robot likeness in the two models. Overall, results suggest that males were sensitive to the differences between robotic and anthropomorphic movements, whereas females showed no difference between them. However, compared to males, female participants attributed more anthropomorphic features to robotic movements. The study is a first step toward a more comprehensive understanding of the human ability to differentiate between anthropomorphic and robotic movements and suggests a crucial role of gender in the human-robot interaction.
机器人在工业生产中发挥着越来越重要的作用。值得注意的是,高度的接受度是人机协作的一个重要因素。本研究的目的是使用由虚拟机器人和数字人组成的模型,调查对拟人化运动和机器人运动感知的差异。每个模型的视频在放置动作的速度和轨迹上表现出不同程度的人类相似度或机器人相似度。要求男性和女性参与者用李克特量表对两个模型中感知到的人类相似度或机器人相似度水平进行评分。总体而言,结果表明男性对机器人运动和拟人化运动之间的差异很敏感,而女性则没有表现出差异。然而,与男性相比,女性参与者将更多的拟人化特征归因于机器人运动。这项研究是朝着更全面理解人类区分拟人化运动和机器人运动能力迈出的第一步,并表明性别在人机交互中起着关键作用。