ERIC Number: EJ1094304
Record Type: Journal
Publication Date: 2016-Mar
Abstractor: As Provided
Reference Count: N/A
Seeing Like a Geologist: Bayesian Use of Expert Categories in Location Memory
Holden, Mark P.; Newcombe, Nora S.; Resnick, Ilyse; Shipley, Thomas F.
Cognitive Science, v40 n2 p440-454 Mar 2016
Memory for spatial location is typically biased, with errors trending toward the center of a surrounding region. According to the category adjustment model (CAM), this bias reflects the optimal, Bayesian combination of fine-grained and categorical representations of a location. However, there is disagreement about whether categories are malleable. For instance, can categories be redefined based on expert-level conceptual knowledge? Furthermore, if expert knowledge is used, does it dominate other information sources, or is it used adaptively so as to minimize overall error, as predicted by a Bayesian framework? We address these questions using images of geological interest. The participants were experts in structural geology, organic chemistry, or English literature. Our data indicate that expertise-based categories influence estimates of location memory--particularly when these categories better constrain errors than alternative ("novice") categories. Results are discussed with respect to the CAM.
Descriptors: Memory, Spatial Ability, Bias, Bayesian Statistics, Expertise, Geology, Error Patterns, Information Sources, Organic Chemistry, English Literature, Classification, Models, Novices
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: SBE0541957|SBE1041707