Representation of statistical properties.

By Sang Chul Chong, Anne Treisman. Vision Research, 2003

603 citations recorded by the source corpus.

Everyday scenes often contain sets of similar objects. Perceptual representations may summarize these with statistical descriptors. After determining the psychological mean of two sizes, we measured thresholds for judging the mean with arrays of 12 circles of heterogeneous sizes. They were close to those for the size of elements in homogeneous arrays and single elements, and were little affected by either exposure duration (50-1000 ms) or memory delays (up to 2s). They were only slightly more accurate within the same distribution than across different distributions (normal, uniform, two-peaks, and homogeneous), confirming that subjects were indeed averaging sizes.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/5c285034d2fd56d88a7b9a6647563ee7b3c6a12d

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

Citations in the corpus

Hierarchical Encoding in Visual Working Memory (2010, background): “Observers can quickly and accurately compute ensemble statistics about a display, such as the mean size (Ariely, 2001; Chong & Treisman, 2003), orientation (Parkes, Lund, Angelucci, Solomon, & Morgan, 2001), and location (Alvarez & Oliva, 2008) of the items; the mean expression of a set of faces…”
The Representation of Simple Ensemble Visual Features Outside the Focus of Attention (2008, background): “In general, others have referred to these features as global features (Navon, 1977; Oliva & Torralba, 2001), holistic features (Kimchi, 1992), or sets (Ariely, 2001; Chong & Treisman, 2003; Chong & Treisman, 2005b).”
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. (2006, background): “…that early scene interpretation may be influenced by global image properties that are computed by processes that do not require selective visual attention (Spatial Envelope properties of a scene, Oliva & Torralba, 2001, statistical properties of object sets, Ariely, 2001; Chong & Treisman, 2003).”
Statistical processing: computing the average size in perceptual groups. (2005, positive): “We compared the thresholds for judging the mean size in the present experiment with those from Experiment 3 in Chong and Treisman (2003), to see how selection based on color compared with selection based on location.”
Forty years after Feature Integration Theory (2020, background): “As discussed by Hochstein (DOI: https://doi.org/10.3758/s13414-019-017972), Treisman and her student Sang Chul Chong were early pioneers (Chong & Treisman, 2003) and in this issue, Chong continues this work with his “Distributed attention model of perceptual averaging”.”
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “All these methods require considerable A u t h o r ' s p e r s o n a l”
Guided Search 4.0: Current Progress With a Model of Visual Search (2007, methodology): “These include analysis of image statistics (Ariely, 2001; Chong & Treisman, 2003) and some aspects of scene analysis (Oliva & Torralba, 2001).”
Rapid extraction of mean emotion and gender from sets of faces. (2007, neutral): “However, large scale comparative analyses did not support this prediction, quite possibly because they did not contain any informative contrasts [1,2].”
Maps of Bounded Rationality: Psychology for Behavioral Economics (2003, methodology): “Frederick (2003, personal communication) has used simple puzzles to study cognitive selfmonitoring, as in the following example: “A bat and a ball cost $1.10 in total.”
A Boolean map theory of visual attention. (2007, background): “Even if such a label cannot provide conscious access to individual feature values, it is probably able to provide an overall statistical description of all the feature values of the selected region (Chong & Treisman, 2003, 2005).”
Recognition of natural scenes from global properties: Seeing the forest without representing the trees (2008, neutral): “In particular, is the speed at which an image can be correctly categorized inversely related to how similar it is to the category prototype?”
Why don't we see changes? The role of attentional bottlenecks and limited visual memory (2006, background): “They would have some notion of the statistical properties of the display* colours, sizes, etc. (Ariely, 2001; Chong & Treisman, 2003).”
A perspective on judgment and choice: mapping bounded rationality. (2003, methodology): “Our research focused on errors of intuition, which we studied both for their intrinsic interest and for their value as diagnostic indicators of cognitive mechanisms.”