ERIC Number: EJ1181278
Record Type: Journal
Publication Date: 2018-Jun
Abstractor: As Provided
Composite Faces Are Not (Necessarily) Processed Coactively: A Test Using Systems Factorial Technology and Logical-Rule Models
Cheng, Xue Jun; McCarthy, Callum J.; Wang, Tony S. L.; Palmeri, Thomas J.; Little, Daniel R.
Journal of Experimental Psychology: Learning, Memory, and Cognition, v44 n6 p833-862 Jun 2018
Upright faces are thought to be processed more holistically than inverted faces. In the widely used composite face paradigm, holistic processing is inferred from interference in recognition performance from a to-be-ignored face half for upright and aligned faces compared with inverted or misaligned faces. We sought to characterize the nature of holistic processing in composite faces in computational terms. We use logical-rule models (Fific, Little, & Nosofsky, 2010) and Systems Factorial Technology (Townsend & Nozawa, 1995) to examine whether composite faces are processed through pooling top and bottom face halves into a single processing channel--coactive processing--which is one common mechanistic definition of holistic processing. By specifically operationalizing holistic processing as the pooling of features into a single decision process in our task, we are able to distinguish it from other processing models that may underlie composite face processing. For instance, a failure of selective attention might result even when top and bottom components of composite faces are processed in serial or in parallel without processing the entire face coactively. Our results show that performance is best explained by a mixture of serial and parallel processing architectures across all 4 upright and inverted, aligned and misaligned face conditions. The results indicate multichannel, featural processing of composite faces in a manner inconsistent with the notion of coactivity.
Descriptors: Holistic Approach, Models, Comparative Analysis, Correlation, Foreign Countries, Nonparametric Statistics, Stimuli, Reaction Time, Statistical Analysis, Recognition (Psychology), Attention, Human Body, Prediction
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Identifiers - Location: Australia
Grant or Contract Numbers: SBE1257098