Implementation intention encoding does not automatize prospective memory responding

McDaniel, Mark A.; Scullin, Michael K. · 2010 · OpenAlex-citations

DOI: 10.3758/mc.38.2.221

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Summary

This study investigates whether implementation intention encoding—a strategy linking a specific situational cue to an intended action via an "if-then" plan—automatizes prospective memory responding. The authors challenge the prevailing theoretical view that implementation intentions create automatic, effortless initiation of actions, which should theoretically protect prospective memory performance even under high cognitive load. Instead, they propose that while implementation intentions may strengthen associative encoding between cues and intentions, this encoding does not eliminate the need for cognitive resources to execute the action. To test these competing hypotheses, the researchers conducted three experiments involving undergraduate participants. The experimental design embedded a prospective memory task (pressing a specific key upon seeing target words) within an ongoing category decision task. Cognitive demand was manipulated by requiring participants to simultaneously generate random numbers (high demand) or not (standard demand). Experiment 1 compared implementation intention instructions against typical prospective memory instructions. Experiment 2 added a "generate-only" condition to isolate the effects of associative encoding from the specific "if-then" format. Experiment 3 compared implementation intentions against behavioral practice. In all experiments, prospective memory performance was measured by the proportion of correct responses to target cues, while ongoing task performance was monitored via reaction times and accuracy. The results consistently contradicted the automatization hypothesis. In Experiment 1, while implementation intentions improved prospective memory under standard cognitive demand compared to typical instructions, they failed to buffer against significant performance declines under high cognitive demand. Both groups showed substantial drops in prospective memory accuracy when cognitive load increased. Experiment 2 found no significant difference in prospective memory performance between the implementation intention group and the generate-only group, suggesting that the benefit of implementation intentions stems from enhanced associative encoding rather than automatic initiation. Furthermore, both groups suffered similar declines under high cognitive load. In Experiment 3, implementation intention encoding actually produced lower prospective memory performance than behavioral practice under high cognitive demand. These findings indicate that implementation intention encoding does not automatize prospective memory responding. The authors conclude that while implementation intentions foster a robust associative link between cues and intentions, this link is insufficient to support automatic execution without conscious resource allocation. Under high cognitive demand, the resources required to manage and coordinate the retrieved intention with ongoing tasks become depleted, leading to prospective memory failures. This challenges the view that implementation intentions render prospective memory immune to cognitive load, suggesting instead that they merely enhance the strength of the cue-intention association, which still requires executive resources for successful execution.

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• prospective memory interruptions