Literaturnachweis - Detailanzeige
| Autor/inn/en | Holden, Mark P.; Newcombe, Nora S.; Resnick, Ilyse; Shipley, Thomas F. |
|---|---|
| Titel | Seeing Like a Geologist: Bayesian Use of Expert Categories in Location Memory |
| Quelle | In: Cognitive Science, 40 (2016) 2, S.440-454 (15 Seiten)
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0364-0213 |
| DOI | 10.1111/cogs.12229 |
| Schlagwörter | Memory; Spatial Ability; Bias; Bayesian Statistics; Expertise; Geology; Error Patterns; Information Sources; Organic Chemistry; English Literature; Classification; Models; Novices |
| Abstract | 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. (As Provided). |
| Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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