Building object representations from parts: Tests of a stochastic sampling model
UNSPECIFIED. (1999) Building object representations from parts: Tests of a stochastic sampling model. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 25 (4). pp. 904-926. ISSN 0096-1523Full text not available from this repository.
In 2 experiments, the perceptual processing assumptions of the extended generalized context model (EGCM) of categorization were tested. The model assumes that object parts are sampled independently and in parallel in the earliest stages of categorization. In both experiments, participants categorized images of artificial objects under various levels of time pressure. Each participant also categorized partial objects, which were obtained by removing object components. The EGCM assumes that categorization judgments under time pressure can rely on incomplete object representations. The model successfully predicts performance in the speeded categorization task from the classification of partial objects. The results provide strong support for the EGCM, which performed consistently better than 2 alternative models.
|Item Type:||Journal Article|
|Subjects:||B Philosophy. Psychology. Religion > BF Psychology|
|Journal or Publication Title:||JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE|
|Publisher:||AMER PSYCHOLOGICAL ASSOC|
|Official Date:||August 1999|
|Number of Pages:||23|
|Page Range:||pp. 904-926|
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