Influence of collaborative customer service by service robots and clerks in bakery stores

Author:

Okafuji Yuki,Song Sichao,Baba Jun,Yoshikawa Yuichiro,Ishiguro Hiroshi

Abstract

In recent years, various service robots have been deployed in stores as recommendation systems. Previous studies have sought to increase the influence of these robots by enhancing their social acceptance and trust. However, when such service robots recommend a product to customers in real environments, the effect on the customers is influenced not only by the robot itself, but also by the social influence of the surrounding people such as store clerks. Therefore, leveraging the social influence of the clerks may increase the influence of the robots on the customers. Hence, we compared the influence of robots with and without collaborative customer service between the robots and clerks in two bakery stores. The experimental results showed that collaborative customer service increased the purchase rate of the recommended bread and improved the impressions of the robot and store experience of the customers. Because the results also showed that the workload required for the clerks to collaborate with the robot was not high, this study suggests that all stores with service robots may demonstrate high effectiveness in introducing collaborative customer service.

Publisher

Frontiers Media SA

Subject

Artificial Intelligence,Computer Science Applications

Reference61 articles.

1. Progress and prospects of the human—Robot collaboration;Ajoudani;Aut. Robot.,2018

2. Towards persuasive recommender systems;Alslaity,2019

3. Rhetorical robots: Making robots more effective speakers using linguistic cues of expertise;Andrist,2013

4. The power of informal communication and perceived organizational support on energy at work and extra-role behavior: A survey on teachers;Aplarslan;J. Hum. Sci.,2015

5. Studies of independence and conformity: I. A minority of one against a unanimous majority;Asch;Psychol. Monogr. General Appl.,1956

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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