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    EXTENDING THE CATEGORY ADJUSTMENT MODEL: LOCATION MEMORY BIASES IN 3-DIMENSIONAL SPACE

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    Genre
    Thesis/Dissertation
    Date
    2011
    Author
    Holden, Mark Paul
    Advisor
    Shipley, Thomas F.
    Newcombe, Nora
    Committee member
    Olson, Ingrid R.
    Hirsh-Pasek, Kathy
    Marshall, Peter J.
    Duffy, Sean
    Department
    Psychology
    Subject
    Psychology, Cognitive
    Bayesian Combination
    Categorization
    Category Adjustment Model
    Scene Perception
    Spatial Cognition
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/1452
    
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    DOI
    http://dx.doi.org/10.34944/dspace/1434
    Abstract
    The ability to remember spatial locations is critical to human functioning, both in an evolutionary and an everyday sense. And yet, spatial memories and judgments often show systematic errors. Explanations for such errors have ranged from assumptions that memories are nonmetric, to the use of imperfect inferences, to the optimal combination of multiple sources of information. More recently, bias has been explained through the Category Adjustment Model - a Bayesian model in which fine-grained and categorical information are optimally combined (Huttenlocher, Hedges, & Duncan, 1991). However, experiments testing this model have largely used locations contained in simple geometric shapes. Use of this paradigm raises the issue of whether the results generalize to location memory in the complex natural world, as it should if it is to provide an over-arching framework for thinking about spatial memory. Here, this issue is addressed using a novel extension of the location memory paradigm that allows for testing of location memory in an everyday, 3D environment. The results support two predictions of the Category Adjustment Model - that memory for locations is biased toward central values, and that the magnitude of error increases with the retention interval. Future directions for testing the model in an increasingly ecologically valid manner are discussed.
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