提高绩效:一种情绪价值,兴奋和任务需求的综合框架
Alina Schmitz-Hübsch1,2, M E Gruber3, Yazmin Diaz3
1University of Stuttgart, Stuttgart, Germany.
Ergonomics
|July 15, 2024
概括
本研究介绍了一种模型,将情绪和任务需求与用户性能联系起来. 它识别了阻碍或增强性能的情绪状态,这对于自适应系统设计至关重要.
科学领域:
- 人与计算机的交互
- 认知心理学 认知心理学
- 情感计算是一种情感计算.
背景情况:
- 用户性能在客观任务需求方面得到了广泛的研究.
- 用户情绪 (价值和兴奋) 对任务需求-性能关系的影响不太清楚.
- 现有的研究缺乏一个全面的模型,将情绪状态与任务需求和绩效结果相结合.
研究的目的:
- 提出一个理论模型,解释情绪价值,兴奋和任务需求对用户性能的交互影响.
- 识别负面影响表现的关键情绪状态和可以提高表现的非关键状态.
- 讨论对开发影响适应性系统的影响.
主要方法:
- 开发一个理论模型,整合三个维度:情绪价值,兴奋和任务需求.
- 基于这些维度,评估模型预测用户性能的能力.
- 分析情绪状态对表现的差异影响.
主要成果:
- 该模型展示了情绪价值和兴奋如何与任务需求相互作用以影响用户性能.
- 特定情绪状态的识别,这些情绪状态会严重影响表现.
- 识别可以积极影响绩效结果的非关键情绪状态.
结论:
- 情绪状态显著调节任务需求对用户性能的影响.
- 了解这些相互作用是设计有效的影响适应系统的关键.
- 系统可以通过减轻负面情绪影响和利用积极的影响来优化.
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