How Do Humans Adjust Their Motion Patterns in Mobile Robots Populated Retail Environments?

How Do Humans Adjust Their Motion Patterns in Mobile Robots Populated Retail Environments?
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DOI：
10.1109/ichms56717.2022.9980607
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发表时间：
2022-11
期刊：
2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS)
影响因子：
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通讯作者：
Yue Luo;Yuhao Chen;M. Yerebakan;Shuai Hao;Nicolas S. Grimaldi;Chizhao Yang;Read Hayes;Boyi Hu
Yue Luo;Yuhao Chen;M. Yerebakan;Shuai Hao;Nicolas S. Grimaldi;Chizhao Yang;Read Hayes;Boyi Hu
中科院分区：
其他
文献类型：
--
作者：
Yue Luo;Yuhao Chen;M. Yerebakan;Shuai Hao;Nicolas S. Grimaldi;Chizhao Yang;Read Hayes;Boyi Hu

文献摘要

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在零售环境中，移动机器人开始充当顾客助手和人类工人的助手，这就要求实现安全、无缝和富有情感的人机交互。为了提高机器人的功能和系统生产率，个人在这些交互过程中的身体反应成为需要考虑的关键因素。本研究旨在评估个人在典型零售环境中对移动机器人的身体反应。研究人员招募了八名参与者，分别在有移动机器人和没有移动机器人的情况下完成购物任务（即推购物车、挑选物品和物品分类）。生物力学分析表明，参与者在货架之间行走的时间更长，行走速度降低，而且在相同空间内有移动机器人的情况下，他们的行走稳定性变差。同时，在推车过程中，移动机器人在参与者的远端（膝关节和踝关节）诱导了更多的姿势适应，而在物品搜索和分类任务中，移动机器人在参与者的近端（髋关节）诱导了更多的姿势适应。此外，本研究还发现，移动机器人对参与者运动活动（行走）的影响大于其他活动（物品搜索和分类）。
In the retail environment, mobile robots start to serve as customer helpers and human worker assistants, which necessitates a safe, seamless, and affective human-robot interaction. Individuals’ physical responses during those interactions become crucial factors to consider in order to improve robots’ functionality and system productivity. The purpose of this study was to assess individuals’ physical responses to mobile robots in a typical retail environment. Eight participants were recruited to complete shopping tasks (i.e., cart pushing, item picking, and item sorting) with and without a mobile robot. Biomechanics analysis showed that participants spent more time walking between shelves with a reduced walking speed and they demonstrated deteriorated walking stability with the mobile robot in the same space. Meanwhile, the mobile robot induced more posture adaptation in participants’ distal segments (knee and ankle) during cart pushing and more posture adaptation in their proximal segments (hip) during item searching and sorting tasks. In addition, this study revealed that the mobile robot had a greater impact on participants’ locomotion activities (walking) rather than other activities (item searching and sorting).