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为了提高性能:情感效价、唤醒度和任务需求的综合框架。

Towards enhanced performance: an integrated framework of emotional valence, arousal, and task demand.

机构信息

University of Stuttgart, Stuttgart, Germany.

Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Wachtberg, Germany.

出版信息

Ergonomics. 2024 Dec;67(12):2082-2095. doi: 10.1080/00140139.2024.2370440. Epub 2024 Jul 14.

Abstract

Extensive evaluations exist concerning the linkage between objective task demands and subsequent effects on user performance. However, the human user also experiences a range of emotions related to external task demands. Problematically, little is known about the associations between emotional valence, and arousal associated with the task demand-performance axis. In this paper, we advance a theoretical model concerning such interactive influences using three dimensions: (1) emotional valence, (2) arousal, and (3) task demand. The model evaluates the impact of these dimensions on user performance. It also identifies critical emotional user states, particularly those resulting in negative performance effects, as well as non-critical emotional states that can positively impact performance. Finally, we discuss the implications for affect-adaptive systems that can mitigate the impact of critical emotional states while leveraging the benefits of non-critical ones.

摘要

关于客观任务需求与随后对用户绩效的影响之间的联系,已经有了广泛的评估。然而,人类用户也会体验到与外部任务需求相关的一系列情绪。有问题的是,人们对与任务需求-绩效轴相关的情绪效价和唤醒之间的关联知之甚少。在本文中,我们使用三个维度(1)情绪效价、(2)唤醒和(3)任务需求,提出了一个关于这种交互影响的理论模型。该模型评估了这些维度对用户绩效的影响。它还确定了关键的情绪用户状态,特别是那些导致负面绩效影响的状态,以及可以对绩效产生积极影响的非关键情绪状态。最后,我们讨论了情感自适应系统的意义,这些系统可以减轻关键情绪状态的影响,同时利用非关键情绪状态的好处。

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