Determining the Most Effective Way of Ensuring a Tidying-Up Behavior: Comparison of Effects of Reminders Using Oral Instruction, Posters, and Robots

Author:

Ogasawara Akihiro, ,Gouko Manabu

Abstract

A common method for encouraging a user to tidy up his/her office or school desk is to provide oral instructions or displaying posters. Some researchers have proposed a robot system to encourage users to tidy up. However, little attention has been paid to performing a comparative analysis of the various methods for motivating users to tidy up. In this study, we investigated the effects of motivating participants using verbal reminders, posters, and robots. Our results showed that urging users using vibrations produced by a robot is more effective than using oral instructions or posters. Particularly, using a robot is effective in reducing microslips and maintaining the motivation for tidying up.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference14 articles.

1. M. Kondo, “The Life-Changing Magic of Tidying Up: The Japanese Art of Decluttering and Organizing,” Ten Speed Press, 2014.

2. T. A. Fabrizio and D. Tapping, “5S for the Office: Organizing the Workplace to Eliminate Waste,” Productivity Press, 2006.

3. A. Ogasawara and M. Gouko, “Stationery Holder Robot that Encourages Office Workers to Tidy Their Desks,” Proc. of the 5th Int. Conf. on Human Agent Interaction (HAI’17), pp. 439-441, 2017.

4. C. Cosma, M. Confente, M. Governo, and R. Fiorini, “An autonomous robot for indoor light logistics,” Proc. of 2004 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Vol.3, pp. 3003-3008, 2004.

5. B. K. Kim, K. Ohara, K. Kitagaki, and K. Ohba, “Design and Control of Librarian Robot System in Information Structured Environments,” J. Robot. Mechatron., Vol.21, No.4, pp. 507-514, 2009.

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