Physiological Data-Based Evaluation of a Social Robot Navigation System

Hasan Kivrak, Pinar Uluer, Hatice Kose, E. Gümüslü, D. Erol, Furkan Çakmak, S. Yavuz
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引用次数: 6

Abstract

The aim of this work is to create a social navigation system for an affective robot that acts as an assistant in the audiology department of hospitals for children with hearing impairments. Compared to traditional navigation systems, this system differentiates between objects and human beings and optimizes several parameters to keep at a social distance during motion when faced with humans not to interfere with their personal zones. For this purpose, social robot motion planning algorithms are employed to generate human-friendly paths that maintain humans’ safety and comfort during the robot’s navigation. This paper evaluates this system compared to traditional navigation, based on the surveys and physiological data of the adult participants in a preliminary study before using the system with children. Although the self-report questionnaires do not show any significant difference between navigation profiles of the robot, analysis of the physiological data may be interpreted that, the participants felt comfortable and less threatened in social navigation case.
基于生理数据的社交机器人导航系统评价
这项工作的目的是为一个情感机器人创建一个社交导航系统,作为医院听力障碍儿童听力学部门的助手。与传统的导航系统相比,该系统区分了物体和人,并优化了几个参数,在运动过程中面对人类时保持一定的社交距离,不干扰他们的个人区域。为此,采用社交机器人运动规划算法生成人性化路径,保证机器人在导航过程中人类的安全和舒适。本文在对儿童使用该系统之前,基于对成人参与者的调查和生理数据的初步研究,将该系统与传统导航系统进行了比较。虽然自述问卷并未显示机器人的导航概况之间存在显著差异,但分析生理数据可以解释为,在社交导航情况下,参与者感到舒适,受到的威胁较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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