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Hal Pashler

Department of Psychology 0109
University of California, San Diego

La Jolla, California 92093
USA
Office phone: (858) 534-3974
Office fax: (858) 534-7190

Email: hpashler@ucsd.edu
Home page: http://www.pashler.com




Change Detection Research Interests
I first got interested in change detection in 1987 when I found people were rather lousy at detecting changes in arrays of familiar objects when the offset was even 100 msec long (Pashler, 1988); I was very surprised that I could only "hang on to" 4-5 objects (i.e., ~ whole report span). Phillips had. made similar observations with matrix-patterns but I had thought that using familiar objects would surely reveal lots more information. To my aggravation, reviewers were split on whether the result was astonishing or obvious, so to convince the editor it wasn't so obvious I polled a bunch of people at Psychonomics without telling them the result; to my relief, few of them predicted it (Howard Egeth was one who did). Currently I am happy to be collaborating with Mark Becker on several sets of studies on which he will be lead author; these look at the relation between change detection and other measures of semantic processing of multiple items in a scene; the role of masking and iconic memory in change detection; change detection in moving scenes; and still other topics.

Other Research Interests
Attention, dual-task performance, short-term memory, perceptual learning, skill learning, higher-level visual perception.


Change Detection Publications
Pashler, H. & Badgio, P. (1985). Visual attention and stimulus identification. Journal of Experimental Psychology: Human Perception and Performance, 11, 105-121.

Pashler, H. (1988). Familiarity and the detection of change in visual displays. Perception & Psychophysics, 44 , 369-378.

Pashler, H. (1995). Divided visual attention. In Visual Cognition: Invitation to Cognitive Science. S. Kosslyn (Ed.), Cambridge, MA: MIT Press. Pp. 71-100.

Pashler, H. (1998). The Psychology of Attention. Cambridge, MA: MIT Press.




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