Dissociating expectancy-based and experience-based control in task switching.

Liu, Chialun; Yeung, Nick · 2020 · Crossref

DOI: 10.1037/xhp0000704

archive: archived pipeline: cataloged verified

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Summary

This study investigates the hierarchical nature of cognitive control, specifically distinguishing between "meta-control" (high-level regulation based on expectations) and experience-based control (bottom-up adjustments driven by practice and recent history) in task-switching paradigms. The authors address a gap in existing literature where effects of switch frequency on performance could be attributed to either strategic meta-control or local practice effects. To isolate these mechanisms, the researchers employed a novel instruction manipulation across five experiments. Participants performed digit classification tasks (odd/even or high/low) in short sequences. Crucially, the design included "Fake" instruction conditions where participants were told switches would be frequent or rare, but the objective switch probability was held constant at 50%. This allowed for a direct comparison of performance driven by expectation versus performance driven by actual experience. The experimental design varied across five studies. Experiments 1–3 focused on behavioral outcomes, with Experiment 2 introducing reward incentives to test the motivation-dependence of meta-control. Experiment 4 utilized electroencephalography (EEG) to measure neural markers of task preparation, specifically the lateralized readiness potential (LRP) for trial-by-trial preparation and parieto-occipital alpha power for global attentional filtering. Experiment 5 examined voluntary task choices to determine if instruction-induced expectations influenced autonomous decision-making. The core hypothesis was that if meta-control operates independently of local experience, participants would adopt different control strategies (e.g., weaker task-set commitment) based solely on instructions, even when objective switch frequencies were identical. The results demonstrated that instruction-induced expectancy significantly modulated task-switching efficiency, confirming the presence of distinct meta-control modes. In Experiments 1–3, participants exhibited higher error costs for task switches when instructed that switches were rare ("Fake Rare") compared to when instructed they were frequent ("Fake Frequent"), despite identical objective probabilities. This effect was motivation-dependent, as reward incentives in Experiment 2 enhanced the influence of instructions. EEG data from Experiment 4 revealed that instructions modulated global attentional filtering (indexed by alpha power) but did not affect trial-by-trial motor preparation (indexed by LRP). Furthermore, Experiment 5 showed that these expectancy effects extended to voluntary task choices, with participants more likely to switch tasks voluntarily when expecting frequent switches. The significance of these findings lies in the dissociation of high-level meta-control from low-level experience-based adjustments. The study provides evidence that cognitive control is hierarchically structured, with top-down expectations shaping global control parameters (such as the strength of attentional filtering) without necessarily altering specific, trial-by-trial motor preparations. This clarifies the mechanisms underlying adaptive behavior in naturalistic settings, where individuals must adjust their control strategies based on contextual goals and expectations rather than solely on immediate history. The research introduces a robust method for isolating meta-control processes, offering new insights into how the brain manages flexible, goal-directed behavior.

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Topics

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• task switching
• executive function