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Erik M. Altmann

Researcher at Michigan State University

Publications -  75
Citations -  3996

Erik M. Altmann is an academic researcher from Michigan State University. The author has contributed to research in topics: Cognition & Task (project management). The author has an hindex of 28, co-authored 71 publications receiving 3687 citations. Previous affiliations of Erik M. Altmann include Carnegie Mellon University & George Mason University.

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Memory for goals: an activation-based model

TL;DR: The goal-activation model presented here analyzes goal-directed cognition in terms of the general memory constructs of activation and associative priming, and implications for understanding intention superiority, postcompletion error, and effects of task interruption are discussed.
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Preparing to resume an interrupted task: effects of prospective goal encoding and retrospective rehearsal

TL;DR: The results support the task analysis of interruption and the model of memory for goals, and suggest further means for studying operator performance in dynamic task environments.
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An integrated model of cognitive control in task switching.

TL;DR: A model of cognitive control in task switching is developed in which controlled performance depends on the system maintaining access to a code in episodic memory representing the most recently cued task, suggesting that episodic task codes play an important role in keeping the cognitive system focused under a variety of performance constraints.
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Deliberate practice: Is that all it takes to become an expert?

TL;DR: The authors showed that deliberate practice is not sufficient to explain individual differences in performance in the two most widely studied domains in expertise research (chess and music) and proposed a theoretical framework that takes into account several potentially relevant explanatory constructs.
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Forgetting to Remember: The Functional Relationship of Decay and Interference:

TL;DR: Behavioral predictions of functional decay theory were tested in a task-switching paradigm in which memory for the current task had to be updated every few seconds, hundreds of times, and reaction times and error rates both increased gradually between updates, reflecting decay of memory forThe theory posits that when an attribute must be updated frequently in memory, its current value decays to prevent interference with later values.