Testing the Efficiency of Markov Chain Monte Carlo with People Using Facial Affect Categories
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| Title: | Testing the Efficiency of Markov Chain Monte Carlo with People Using Facial Affect Categories |
|---|---|
| Language: | English |
| Authors: | Martin, Jay B., Griffiths, Thomas L., Sanborn, Adam N. |
| Source: | Cognitive Science. Jan-Feb 2012 36(1):150-162. |
| Availability: | 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/ |
| Peer Reviewed: | Y |
| Page Count: | 13 |
| Publication Date: | 2012 |
| Document Type: | Journal Articles Reports - Evaluative |
| Descriptors: | Markov Processes, Monte Carlo Methods, Correlation, Efficiency, Classification, Psychological Patterns, Nonverbal Communication, Comparative Analysis |
| Geographic Terms: | California |
| DOI: | 10.1111/j.1551-6709.2011.01204.x |
| ISSN: | 0364-0213 |
| Abstract: | Exploring how people represent natural categories is a key step toward developing a better understanding of how people learn, form memories, and make decisions. Much research on categorization has focused on artificial categories that are created in the laboratory, since studying natural categories defined on high-dimensional stimuli such as images is methodologically challenging. Recent work has produced methods for identifying these representations from observed behavior, such as reverse correlation (RC). We compare RC against an alternative method for inferring the structure of natural categories called Markov chain Monte Carlo with People (MCMCP). Based on an algorithm used in computer science and statistics, MCMCP provides a way to sample from the set of stimuli associated with a natural category. We apply MCMCP and RC to the problem of recovering natural categories that correspond to two kinds of facial affect (happy and sad) from realistic images of faces. Our results show that MCMCP requires fewer trials to obtain a higher quality estimate of people's mental representations of these two categories. (Contains 5 figures.) |
| Abstractor: | As Provided |
| Number of References: | 25 |
| Entry Date: | 2013 |
| Accession Number: | EJ990898 |
| Database: | ERIC |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/j.1551-6709.2011.01204.x Languages: – Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 150 Subjects: – SubjectFull: Markov Processes Type: general – SubjectFull: Monte Carlo Methods Type: general – SubjectFull: Correlation Type: general – SubjectFull: Efficiency Type: general – SubjectFull: Classification Type: general – SubjectFull: Psychological Patterns Type: general – SubjectFull: Nonverbal Communication Type: general – SubjectFull: Comparative Analysis Type: general – SubjectFull: California Type: general Titles: – TitleFull: Testing the Efficiency of Markov Chain Monte Carlo with People Using Facial Affect Categories Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Martin, Jay B. – PersonEntity: Name: NameFull: Griffiths, Thomas L. – PersonEntity: Name: NameFull: Sanborn, Adam N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 0364-0213 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Cognitive Science Type: main |
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