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    Target learning in event-based prospective memory

    81543.pdf (795.7Kb)
    Access Status
    Open access
    Authors
    Strickland, Luke
    Heathcote, Andrew
    Humphreys, Michael S
    Loft, Shayne
    Date
    2020
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Strickland, L. and Heathcote, A. and Humphreys, M.S. and Loft, S. 2020. Target learning in event-based prospective memory. Journal of Experimental Psychology: Learning, Memory, and Cognition.
    Source Title
    Journal of Experimental Psychology: Learning, Memory, and Cognition
    DOI
    10.1037/xlm0000900
    ISSN
    0278-7393
    Faculty
    Faculty of Business and Law
    School
    Future of Work Institute
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP160101891
    http://purl.org/au-research/grants/arc/DP160100575
    Remarks

    Copyright © American Psychological Association, 2021. This paper is not the copy of record and may not exactly replicate the authoritative document published in the APA journal. Please do not copy or cite without author's permission. The final article is available, upon publication, at: https://doi.org/10.1037/xlm0000900.

    URI
    http://hdl.handle.net/20.500.11937/81481
    Collection
    • Curtin Research Publications
    Abstract

    Event-based prospective memory (PM) tasks require individuals to remember to perform a previously planned action when they encounter a specific event. Often, the natural environments in which PM tasks occur are embedded are constantly changing, requiring humans to adapt by learning. We examine one such adaptation by integrating PM target learning with the Prospective Memory Decision Control (PMDC) cognitive model. We apply this augmented model to an experiment that manipulated exposure to PM targets, comparing a single-target PM condition where the target was well learned from the outset, to a multiple-target PM condition with less initial PM target exposure, allowing us to examine the effect of continued target learning opportunities. Single-target PM accuracy was near ceiling whereas multiple-target PM accuracy was initially poorer but improved throughout the course of the experiment. PM response times were longer for the multiplecompared to single-target PM task but this difference also decreased over time. The model indicated that PM trial evidence accumulation rates, and the inhibition of competing responses, were initially higher for single compared to multiple PM targets, but that this difference decreased over time due to the learning of multiple-targets over the target repetitions. These outcomes provide insight into how the processes underlying event-based PM can dynamically evolve over time, and a modelling framework to further investigate the effect of learning on event-based PM decision processes.

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