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Effects of human–machine interaction on employee’s learning: A contingent perspective

The popularization of intelligent machines such as service robot and industrial robot will make human–machine interaction, an essential work mode. This requires employees to adapt to the new work content through learning. However, the research involved human–machine interaction that how influences t...

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Detalles Bibliográficos
Autores principales: Sen, Wang, Hong, Zhao, Xiaomei, Zhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490363/
https://www.ncbi.nlm.nih.gov/pubmed/36160504
http://dx.doi.org/10.3389/fpsyg.2022.876933
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author Sen, Wang
Hong, Zhao
Xiaomei, Zhu
author_facet Sen, Wang
Hong, Zhao
Xiaomei, Zhu
author_sort Sen, Wang
collection PubMed
description The popularization of intelligent machines such as service robot and industrial robot will make human–machine interaction, an essential work mode. This requires employees to adapt to the new work content through learning. However, the research involved human–machine interaction that how influences the employee’s learning is still rarely. This paper was to reveal the relationship between human–machine interaction and employee’s learning from the perspective of job characteristics and competence perception of employees. We sent questionnaire to 500 employees from 100 artificial intelligence companies in China and received 319 valid and complete responses. Then, we adopted a hierarchical regression for the test. Empirical results show that human–machine interaction has a U-shaped curvilinear relationship with employee learning, and employee’s vitality mediates the curvilinear relationship. In addition, job characteristics (skill variety and job autonomy) moderate the U-shaped curvilinear relationship between human–machine interaction and employee’s vitality, especially the results of moderating effects varying with employee’s competence perception. Exploring the mechanism of the effect of human–machine interaction on employee’s learning enriches the socially embedded model. Moreover, it provides managerial implications how to enhance individual adaptability with the introduction of AI into firms. However, our research focuses more on the impact of human–machine interaction on employees at the initial stage of AI development, and the level of machine intelligence in various industries will reach a high degree of autonomy in the future. The future research can explore the impact of human–machine interaction on individual’s behavior at different stages, and the results may vary depending on the technologies mastered by different individuals. The study has theoretical and practical significance to human–machine interaction literature by underscoring the important of individual’s behavior among individuals with different skills.
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spelling pubmed-94903632022-09-22 Effects of human–machine interaction on employee’s learning: A contingent perspective Sen, Wang Hong, Zhao Xiaomei, Zhu Front Psychol Psychology The popularization of intelligent machines such as service robot and industrial robot will make human–machine interaction, an essential work mode. This requires employees to adapt to the new work content through learning. However, the research involved human–machine interaction that how influences the employee’s learning is still rarely. This paper was to reveal the relationship between human–machine interaction and employee’s learning from the perspective of job characteristics and competence perception of employees. We sent questionnaire to 500 employees from 100 artificial intelligence companies in China and received 319 valid and complete responses. Then, we adopted a hierarchical regression for the test. Empirical results show that human–machine interaction has a U-shaped curvilinear relationship with employee learning, and employee’s vitality mediates the curvilinear relationship. In addition, job characteristics (skill variety and job autonomy) moderate the U-shaped curvilinear relationship between human–machine interaction and employee’s vitality, especially the results of moderating effects varying with employee’s competence perception. Exploring the mechanism of the effect of human–machine interaction on employee’s learning enriches the socially embedded model. Moreover, it provides managerial implications how to enhance individual adaptability with the introduction of AI into firms. However, our research focuses more on the impact of human–machine interaction on employees at the initial stage of AI development, and the level of machine intelligence in various industries will reach a high degree of autonomy in the future. The future research can explore the impact of human–machine interaction on individual’s behavior at different stages, and the results may vary depending on the technologies mastered by different individuals. The study has theoretical and practical significance to human–machine interaction literature by underscoring the important of individual’s behavior among individuals with different skills. Frontiers Media S.A. 2022-09-07 /pmc/articles/PMC9490363/ /pubmed/36160504 http://dx.doi.org/10.3389/fpsyg.2022.876933 Text en Copyright © 2022 Sen, Hong and Xiaomei. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Sen, Wang
Hong, Zhao
Xiaomei, Zhu
Effects of human–machine interaction on employee’s learning: A contingent perspective
title Effects of human–machine interaction on employee’s learning: A contingent perspective
title_full Effects of human–machine interaction on employee’s learning: A contingent perspective
title_fullStr Effects of human–machine interaction on employee’s learning: A contingent perspective
title_full_unstemmed Effects of human–machine interaction on employee’s learning: A contingent perspective
title_short Effects of human–machine interaction on employee’s learning: A contingent perspective
title_sort effects of human–machine interaction on employee’s learning: a contingent perspective
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490363/
https://www.ncbi.nlm.nih.gov/pubmed/36160504
http://dx.doi.org/10.3389/fpsyg.2022.876933
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