动机的日常波动推动了基于努力的决策
Samuel R C Hewitt1,2, Agnes Norbury3, Quentin J M Huys3
1Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London, London WC1B 5EH, United Kingdom.
概括
每天的动机水平显著影响奖励价值和努力,特别是在那些冷漠的人中. 了解这些波动是理解动机行为和心理健康状况的关键.
科学领域:
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
- 行为经济学是一种行为经济学.
背景情况:
- 关于动机行为的研究往往忽视了内部状态的动态性质.
- 捕捉动机和决策的实时波动对于全面理解至关重要.
研究的目的:
- 研究动机 (状态动机) 的自然变化如何影响奖励的主观价值和愿意付出努力的意愿.
- 检查状态动机,特征动机和基于努力的决策之间的相互作用.
主要方法:
- 一个微长度设计,有155名参与者,收集3,344个状态时间点,分析845个决策任务.
- 利用基于智能手机的瞬间评估来捕捉动机和决策中的现实生活波动.
- 采用计算建模来分析状态动机和未来努力之间的关系.
主要成果:
- 当前的动机水平 (状态) 和长期趋势 (特征) 独立而互动地影响决策.
- 动机状态和行为之间的联系在具有较高特征冷漠度的个体中更强.
- 国家动机有望增加奖励灵敏度,预测未来更大的努力.
结论:
- 动机的日常波动与认知过程和决策密切相关.
- 这些动态变化对于理解正常的人类行为和心理健康障碍背后的机制至关重要.
- 这些发现强调了在神经计算行为模型中考虑动态内部状态的重要性.
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