算法管理和以人为中心的任务设计:从行动调节和社会物质系统理论的角度来看,这是一个概念综合
Carsten Röttgen1, Britta Herbig2, Tobias Weinmann2
1Institute of Psychology, Work and Organizational Psychology, University of Duisburg-Essen, Essen, Germany.
Frontiers in artificial intelligence
|October 10, 2024
概括
算法管理 (AM) 可能通过减少就业资源和增加需求,对工人的心理健康产生负面影响. 未来的研究应该专注于在AM系统下设计人道的工作环境.
科学领域:
- 心理学是一门科学.
- 组织行为组织行为.
- 人与计算机的互动.
背景情况:
- 算法管理 (AM) 越来越普遍,需要了解其心理影响.
- 现有的研究强调了对工人福祉的潜在风险,但需要一个细微的视角.
- 社会物质系统理论和行动调节理论 (ART) 提供了分析AM对人类行动和福祉影响的框架.
研究的目的:
- 探索算法管理 (AM) 对以人为中心的任务设计的心理影响.
- 调查AM对工人的心理健康的影响.
- 为理解和改进未来的AM系统提出一个模型.
主要方法:
- 综合对算法管理的研究与社会材料系统理论和行动调节理论 (ART).
- 分析AM对行动监管机会,智力需求和监管问题的影响.
- 审查关于AM和工人的心理健康的当前文献.
主要成果:
- 算法管理可能会减少行动调节机会 (例如,自主性,可预测性) 和智力需求 (例如,复杂性).
- 附加监管可以导致增加障碍要求 (例如,过度征税法规) 和减少监管障碍 (例如,不确定性).
- 虽然AM通常与心理健康的风险有关,但也可以减轻某些工作场所的压力因素.
结论:
- 机械制造的心理影响是复杂的,取决于如何影响任务设计.
- 附加药物间接与工人的心理健康风险增加有关,尽管存在积极影响.
- 未来的研究应该集中在"如何"在AM下设计人性化的工作,而不是"如果"AM本质上是好的或坏的.
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