The Dark Side of Employee Collaboration with Robots: Exploring Its Impact on Self-Esteem Threat and Burnout

大裂谷 机器人 倦怠 生产力 心理学 应用心理学 人机交互 社会心理学 业务 知识管理 计算机科学 人工智能 经济 临床心理学 天文 物理 宏观经济学
作者
Guohua He,Xinnian Zheng,Wen Feng Li,Lixun Zheng,Yifan He
出处
期刊:International Journal of Human-computer Interaction [Informa]
卷期号:: 1-17
标识
DOI:10.1080/10447318.2023.2295691
摘要

The increasing application of robots in the workplace has made employee collaboration with robots a prevalent phenomenon. Existing literature on human-robot collaboration has both implicitly and explicitly highlighted the benefits of such collaboration, such as promoting efficiency and productivity. Drawing upon self-regulation theory, this study challenges this prevailing assumption by revealing a potential dark side of employee collaboration with robots, specifically its potential to lead to burnout. Our findings, derived from an experiment and a multi-wave field survey, demonstrate that employee collaboration with robots can lead to a self-esteem threat, which in turn results in burnout. Moreover, the perceived intelligence of robots moderated the indirect effect of employee collaboration with robots on burnout through self-esteem threat. This effect was more pronounced when the perceived intelligence of robots was high, as opposed to low. This study offers fresh insights into the consequences of employees collaborating with robots. It also highlights the need for future research to focus on the psychological well-being of employees engaged in such collaborations.
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