Policy abstraction as a predictor of cognitive effort avoidance

Area of Science:

• Cognitive Psychology
• Decision Making
• Behavioral Economics

Background:

• Extensive research shows individuals avoid cognitively demanding tasks.
• The specific characteristics driving this avoidance, or cognitive effort costs, remain incompletely understood.
• Previous hypotheses focused on task duration, error likelihood, and cognitive control demands.

Purpose of the Study:

• To investigate the novel hypothesis that tasks requiring higher degrees of policy abstraction are perceived as more effortful.
• To determine if policy abstraction predicts task avoidance independently of performance metrics like time-on-task or error likelihood.
• To explore the role of contextual contingency in task rule complexity and its relation to effort aversion.

Main Methods:

• Combined two established cognitive control tasks that systematically varied policy abstraction.
• Utilized the demand selection task procedure to assess task avoidance.
• Controlled for performance factors including time-on-task and expected error rate (ER).

Main Results:

• Policy abstraction emerged as the strongest predictor of cognitive effort choices.
• Error likelihood was the second most significant predictor of task avoidance.
• These findings were consistent across multiple studies and analyses.

Conclusions:

• Policy abstraction is a key task feature, independent of performance, that drives task avoidance.
• This provides a new understanding of the factors contributing to the aversive experience of cognitive effort.
• Results support an opportunity cost framework for explaining cognitive effort aversion.