Field Trial of a Shopworker Robot with Friendly Guidance and Appropriate Admonishments

Author:

Edirisinghe Sachi1ORCID,Satake Satoru2ORCID,Kanda Takayuki3ORCID

Affiliation:

1. ATR Deep Interaction Laboratories, Kyoto, Japan and Kyoto University, Kyoto, Japan

2. ATR Deep Interaction Laboratories, Kyoto, Japan

3. ATR Deep Interaction Laboratories, Kyoto, Japan and Kyoto University Japan, Kyoto, Japan

Abstract

We developed an admonishing service for a shopworker robot and conducted a field trial to investigate the impressions of a shop’s staff and customers. Applying the admonishing service in a real-world robot is difficult due to the high risk of rejection by society. We wanted to achieve an acceptable admonishing service while simultaneously avoiding the impression of a forceful request from a machine. We proposed a harmonized design that provided friendly and admonishing services. First, we interviewed a shop’s staff to learn their strategies for both friendly and admonishing services. From our evaluation of the interview results, we derived three design principles: friendly impressions, zero erroneous admonishments, and polite requests. Based on the design principles, we implemented our harmonized design on a social robot that guides customers to product locations and admonishes those who are not wearing face masks. We conducted a 13-day field trial in a retail shop and interviewed the customers and shopworkers to learn their impressions of our robot. The results of the field trial imply that our harmonized design approach is successful. Both the customers and the shop staff had overall positive impressions of the robot, its admonishing and friendly services, and expressed an intention to use it in the future. Furthermore, we studied the robot’s autonomous service-providing capability in the field and conducted an evaluation with hired participants to deepen our study of the robot’s mask recognition capability.

Funder

JST, CREST

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Reference51 articles.

1. 2021. DWB Controller. Retrieved from https://navigation.ros.org/configuration/packages/configuring-dwb-controller.html#controller.

2. 2021. OpenCV. Retrieved from https://opencv.org/.

3. Globally consistent 3D mapping with scan matching

4. Why and how robots should say “no.”;Briggs Gordon;Int. J. Soc. Robot.,2021

5. Politeness

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3