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Identity from Variation: Representations of Faces Derived from Multiple Instances
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Burton, A. Mike; Kramer, Robin S. S.; Ritchie, Kay L.; Jenkins, Rob – Cognitive Science, 2016
Research in face recognition has tended to focus on discriminating between individuals, or "telling people apart." It has recently become clear that it is also necessary to understand how images of the same person can vary, or "telling people together." Learning a new face, and tracking its representation as it changes from…
Descriptors: Recognition (Psychology), Human Body, Individual Differences, Familiarity
The Modulation of Visual and Task Characteristics of a Writing System on Hemispheric Lateralization in Visual Word Recognition--A Computational Exploration
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Hsiao, Janet H.; Lam, Sze Man – Cognitive Science, 2013
Through computational modeling, here we examine whether visual and task characteristics of writing systems alone can account for lateralization differences in visual word recognition between different languages without assuming influence from left hemisphere (LH) lateralized language processes. We apply a hemispheric processing model of face…
Descriptors: Brain Hemisphere Functions, Phoneme Grapheme Correspondence, Word Recognition, Visual Perception
Individual Differences in (Non-Visual) Processing Style Predict the Face Inversion Effect
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Wyer, Natalie A.; Martin, Douglas; Pickup, Tracey; Macrae, C. Neil – Cognitive Science, 2012
Recent research suggests that individuals with relatively weak global precedence (i.e., a smaller propensity to view visual stimuli in a configural manner) show a reduced face inversion effect (FIE). Coupled with such findings, a number of recent studies have demonstrated links between an advantage for feature-based processing and the presentation…
Descriptors: Individual Differences, Autism, Visual Stimuli, Human Body
A Model-Based Approach to the Wisdom of the Crowd in Category Learning
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Danileiko, Irina; Lee, Michael D. – Cognitive Science, 2018
We apply the "wisdom of the crowd" idea to human category learning, using a simple approach that combines people's categorization decisions by taking the majority decision. We first show that the aggregated crowd category learning behavior found by this method performs well, learning categories more quickly than most or all individuals…
Descriptors: Group Experience, Classification, Learning Processes, Participative Decision Making
Spatio-Temporal Dynamics of Face Recognition in a Flash: It's in the Eyes
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Vinette, Celine; Gosselin, Frederic; Schyns, Philippe G. – Cognitive Science, 2004
We adapted the "Bubbles" procedure [Vis. Res. 41 (2001) 2261] to examine the effective use of information during the first 282ms of face identification. Ten participants each viewed a total of 5100 faces sub-sampled in space-time. We obtained a clear pattern of effective use of information: the eye on the left side of the image became diagnostic…
Descriptors: Human Body, Recognition (Psychology), Cognitive Processes, Brain Hemisphere Functions
Modeling Recognition Memory Using the Similarity Structure of Natural Input
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Lacroix, Joyca P. W.; Murre, Jaap M. J.; Postma, Eric O.; van den Herik, H. Jaap – Cognitive Science, 2006
The natural input memory (NAM) model is a new model for recognition memory that operates on natural visual input. A biologically informed perceptual preprocessing method takes local samples (eye fixations) from a natural image and translates these into a feature-vector representation. During recognition, the model compares incoming preprocessed…
Descriptors: Recognition (Psychology), Models, Visual Perception, Eye Movements