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A Special Issue of Ensemble Perception: Theory and Experiment
A Special Issue of Research
Inspired by the Work of
Charles W. Eriksen
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A Special Issue in Honor
of the Contributions of
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Time for Action: Reaching for a Better Understanding of the Dynamics of Cognition
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Constraints on the
Structure of Speech Communication
A special issue in honor
of the career and contributions
of Randy Diehl
Closed for Submissions
The submission deadline was June 1, 2020
A Special Issue of Ensemble Perception:
Theory and Experiment
Joshua Solomon, City, University of London, UK
Shaul Hochstein, The Hebrew University of Jerusalem, Israel
David Whitney, University of California, Berkeley, USA
Various processes have been suggested enabling Gestalt organization and gist perception. Recent attention has focused on one such process, ensemble perception, whereby sets of elements are represented by their summary statistics rather than by their individual values, or at least in addition to them. Observers perceive set mean and variability or range (and higher order statistics) for elements perceived simultaneously or sequentially, and they do so either explicitly – when asked to report these values, or implicitly, automatically and on-the-fly – when performing a separate task. Ensemble variables include temporal frequency (i.e., of tones), size (i.e., of visual objects), orientation, brightness, spatial position and speed and direction of motion, as well as facial expression or emotion and gender, object lifelikeness, biological motion of human crowds, gaze direction, and even numerical averaging. Range perception is related to outlier detection (as in feature pop-out; Treisman & Gelade, 1980), enabling attention to important features, because the very definition of an outlier depends on perception of set range. Range or variance perception is also related to the precision of feature variable estimation, because this precision depends on the associated range (Miller, 1956). Mean perception is related to the phenomenon of central tendency or contraction to the mean (beginning with Hollingworth, 1910), leading to errors of judgement, shortening the effective range of viewed elements. And, perceiving the mean, when it is not present, is a type of “false memory.” Thus, ensemble representation in terms of summary statistics aids rapid Gestalt gist perception and analysis of complex scenes, but it may also lead to false conclusions concerning items present or absent from the scene.
This special issue aims to highlight and advance contemporary research on human perception and attention relevant to ensemble perception. We invite contributions of both original research and reviews of research that advance current understanding of scientific issues, methods, findings, or theoretical ideas.
All submissions will undergo normal, full peer review, maintaining the same high editorial standards for regular submissions to Attention, Perception, & Psychophysics. If you have any question about a possible submission, please contact Joshua Solomon.
Submit a Manuscript
The call for papers is now closed. The submission deadline was June 1, 2020.
Manuscripts should include a cover letter indicating that the submission is for the Ensemble Perception special issue (when selecting manuscript type in the online system, please select Special Issue – Ensemble Perception. Because this is a journal special issue, not an edited book, the deadline is firm; our intention is to publish the special issue 6-8 months after the submission deadline. Revisions invited by the guest editors will be expected within two months of receipt of the editorial decision letter and reviews.
Questions? Please contact Guest Editor Joshua Solomon.
Open access to articles older than 12 months
Editor in Chief
University of Nebraska-Lincoln, USA
Texas A&M University, USA
Gideon P. Caplovitz
University of Nevada, Reno, USA
McGill University, Canada
Loes Van Dam
University of Essex, United Kingdom
University of York, United Kingdom
Michael C. Hout
New Mexico State University, USA
Chinese University of Hong Kong, Hong Kong
Todd A. Kahan
Bates College, USA
Ashleigh M. Maxcey
The Ohio State University, USA
University of Massachusetts Amherst, USA
Stefan Van der Stigchel
Utrecht University, The Netherlands