调节努力的成本:具有较长预测视界的奖励和难度线索对绩效产生更大的影响
Nanne Kukkonen1, Senne Braem1, Jens Allaert2
1Department of Experimental Psychology, Ghent University, Belgium.
Journal of cognition
|January 13, 2025
概括
人们在调节基于奖励的认知努力时会产生成本. 不太频繁地调整工作量,尤其是在更长的预测时间范围内,可以抵消这一成本.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 决策 决策 决策 决策
背景情况:
- 认知力度调节通常被认为是灵活的.
- 之前的研究集中在激励措施上,但忽视了监管本身的成本.
研究的目的:
- 为了研究认知努力调节的成本.
- 检查奖励期望和任务难度如何影响努力支出.
- 为了进行努力调整,比较短与长的预测视界.
主要方法:
- 使用随机点运动任务和Stroop任务进行了四项实验.
- 参与者的努力支出在不同的奖励期望和任务难度下被衡量.
- 对奖励线索的预测地平线 (短与长) 被操纵.
主要成果:
- 努力调节主要发生在线索对连续多次试验有效时.
- 高奖励预期提高了准确性 (随机点运动) 和反应时间 (Stroop) 只有在较长的预测时间范围内.
- 较长的预测视界促进了基于奖励的努力调整.
结论:
- 认知力度调节需要付出代价.
- 当面对这种代价时,个人更少地调整他们的努力.
- 较低的调整频率可以作为一种策略,以补偿努力调节的成本.
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