Learn to value effort: an ERP analysis of rewards and cognitive load after positive association
摘要
According to the theory of learned industriousness, effort is a basic response dimension that can be acquired through positive reinforcement in task-based efforts. This study investigates the value of varying types of rewards and levels of cognitive load on a task after a positive association. The types of rewards in this research are baseline, money, and effort, while the levels of cognitive load are low and high measured by event-related potential (ERP) components. The analysis was conducted using a statistical inference based on scalp electromagnetic fields TANOVA. The results show significant effects on the type of rewards and cognitive load. The monetary and effort-based rewards demonstrate higher amplitude compared to the baseline condition, while the high cognitive load task reduces amplitude. These findings provide valuable insights into how the type of reward and cognitive load influence motivation and neural processes during cognitive control tasks.