物理和认知疲劳的动力学的基础是计算机制
Julian Matthews1, M Andrea Pisauro2, Mindaugas Jurgelis3
1RIKEN Center for Brain Science, Wako-shi, Saitama 351-0106, Japan; Turner Institute for Brain and Mental Health, Monash University, Victoria 3800, Australia.
Cognition
|August 30, 2023
概括
疲劳随着身体和认知努力而随时波动,影响动机. 这种努力疲劳的联系是跨领域共享的,错误也增加了认知疲劳.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 决策科学 决策科学 决策科学
背景情况:
- 基于努力的决策对于追求目标至关重要.
- 理论上,疲劳会随着身体和认知炼而增加,从而减少动机.
- 缺乏对疲劳机制的一刻一刻的理解.
研究的目的:
- 调查努力,疲劳和动力之间的瞬间关系.
- 为了确定疲劳机制是否在身体和认知炼之间共享.
- 探索错误对认知任务疲劳的影响.
主要方法:
- 两项研究涉及基于努力的决策任务 (物理抓力,认知心理算术).
- 参与者提供了逐个试验的主观疲劳评级.
- 一个新的计算模型被用来分析疲劳波动和选择预测.
主要成果:
- 暂时的疲劳会根据所施加的努力而显著波动.
- 疲劳波动预测了以后基于努力的选择.
- 在物理和认知领域观察到一种共同的努力诱导疲劳机制.
- 认知错误特别诱导了疲劳的瞬间增加.
结论:
- 疲劳是一种动态的,试验逐试验的过程,受到努力的影响.
- 连接努力和疲劳的计算机制在物理和认知领域都保持着.
- 了解这些机制,可以了解在苛刻的任务中对动机和绩效的理解.
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