Suppr超能文献

通过测量身体运动来估计群体压力水平。

Estimating Group Stress Level by Measuring Body Motion.

作者信息

Tsuji Satomi, Sato Nobuo, Ara Koji, Yano Kazuo

机构信息

Hitachi, Ltd., Research & Development Group, Tokyo, Japan.

Hitachi, Ltd., Tokyo, Japan.

出版信息

Front Psychol. 2021 Apr 1;12:634722. doi: 10.3389/fpsyg.2021.634722. eCollection 2021.

Abstract

Understanding employee stress has become a key issue for top management for corporate growth and risk reduction. So far, annual employee satisfaction surveys (ESs) have been conducted to assess the soundness of an organization. However, since it is difficult to collect questionnaires quantitatively and continuously, there is a need for a practical method that can be used to frequently measure group stress levels with a small burden on employees. We propose such a method and evaluated four combinations of approaches, using activity/rest duration distributions from body motion data and generating estimation models on an individual/group basis. The optimal result was obtained when modeling was made on a group basis by using the activity duration distribution ( = 0.928, < 0.001, estimation error: 1.36%), making it possible to assess the degree of the stress of employees quantitatively and easily, and this showed the possibility of this method being useful as a management guide for companies.

摘要

了解员工压力已成为高层管理人员实现企业增长和降低风险的关键问题。到目前为止,每年都会进行员工满意度调查(ES)以评估组织的健康状况。然而,由于难以定量且持续地收集问卷,因此需要一种实用的方法,该方法可用于以较小的员工负担频繁测量群体压力水平。我们提出了这样一种方法,并使用身体运动数据的活动/休息持续时间分布并在个体/群体基础上生成估计模型,评估了四种方法组合。当使用活动持续时间分布在群体基础上进行建模时获得了最佳结果(= 0.928,<0.001,估计误差:1.36%),这使得能够定量且轻松地评估员工的压力程度,并且这表明该方法作为公司管理指南有用的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea7c/8047321/770117668081/fpsyg-12-634722-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验