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dc.contributor.advisorShipley, Thomas F.
dc.contributor.advisorNewcombe, Nora
dc.creatorHolden, Mark Paul
dc.date.accessioned2020-10-26T19:19:25Z
dc.date.available2020-10-26T19:19:25Z
dc.date.issued2011
dc.identifier.other864885354
dc.identifier.urihttp://hdl.handle.net/20.500.12613/1452
dc.description.abstractThe 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.
dc.format.extent90 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectPsychology, Cognitive
dc.subjectBayesian Combination
dc.subjectCategorization
dc.subjectCategory Adjustment Model
dc.subjectScene Perception
dc.subjectSpatial Cognition
dc.titleEXTENDING THE CATEGORY ADJUSTMENT MODEL: LOCATION MEMORY BIASES IN 3-DIMENSIONAL SPACE
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberOlson, Ingrid R.
dc.contributor.committeememberHirsh-Pasek, Kathy
dc.contributor.committeememberMarshall, Peter J.
dc.contributor.committeememberDuffy, Sean
dc.description.departmentPsychology
dc.relation.doihttp://dx.doi.org/10.34944/dspace/1434
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreePh.D.
refterms.dateFOA2020-10-26T19:19:25Z


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