Consistent evidence has established that people avoid cognitively effortful tasks. However, the features that make a task cognitively effortful are still not well understood. Multiple hypotheses have been proposed regarding which task demands underlie cognitive effort costs, such as time-on-task, error likelihood, and the general engagement of cognitive control. In this study, we test the novel hypothesis that tasks requiring behavior according to higher degrees of policy abstraction are experienced as more effortful. Accordingly, policy abstraction, operationalized as the levels of contextual contingency required by task rules, drives task avoidance over and above the effects of task performance, such as time-on-task or error likelihood. To test this hypothesis, we combined two previously established cognitive control tasks that parametrically manipulated policy abstraction with the demand selection task procedure. The design of these tasks allowed us to test whether people avoided tasks with higher order policy abstraction while controlling for the contribution of factors such as time-on-task and expected error rate (ER). Consistent with our hypothesis, we observed that policy abstraction was the strongest predictor of cognitive effort choices, followed by ER. This was evident across both studies and in a within-subject cross-study analysis. These results establish at least one task feature independent of performance, which is predictive of task avoidance behavior. We interpret these results within an opportunity cost framework for understanding aversive experiences of cognitive effort while performing a task.
Public Significance StatementIn this study, we provide evidence for a novel hypothesis that task demands related to policy abstraction, operationalized as the levels of contextual contingency required by task rules, drive task avoidance beyond the effects of task performance, such as time-on-task or error likelihood. Using a demand selection task procedure, we show that policy abstraction is the strongest predictor of cognitive effort choices, followed by error rates. Our results provide insight into the features that make a task cognitively effortful and suggest that cognitive effort costs can be influenced by factors beyond task performance. These findings may have implications for designing interventions aimed at reducing cognitive effort avoidance.