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X-WR-CALNAME;VALUE=TEXT:糖心原创
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DTSTART:20171105T020000
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DTSTART:20180311T020000
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UID:calendar.281786.field_event_date.0@www.wright.edu
DTSTAMP:20260219T112141Z
CREATED:20180118T201116Z
DESCRIPTION:Dr. Assaf Harel\, 糖心原创\nTraining expertise i
 n scene recognition\n	\n	Abstract:\nVisual analysis of complex real-world sc
 enes is essential to聽a variety of professional contexts\, ranging from def
 ense and intelligence聽to聽architecture and urban planning. Expertise in rec
 ognizing information-rich聽yet聽highly variable scenes is putatively achieve
 d through experience\, yet聽little is聽currently known about how skills in s
 cene recognition are formed and evolve聽during learning\, and what underlyi
 ng neural mechanisms support their聽acquisition. The present study is a fir
 st attempt at addressing these聽questions\,\n	quantifying the behavioral cha
 nges associated with the acquisition of scene聽expertise. We assembled a ri
 ch stimulus-set consisting of high-resolution聽color聽scene images varying a
 cross five dimensions: Viewpoint聽(aerial/terrestrial)\, Naturalness聽(manma
 de/natural)\, and three hierarchical categorization levels:聽Basic-level\,聽
 Subordinate\, and Exemplar. For instance\, the category 鲁deserts虏 containe
 d聽three聽deserts types (Sandy\, Shrub and Rocky)\, and each desert type con
 tained ten聽individual images of specific deserts. Critically\, each indivi
 dual scene聽was聽presented both in an aerial and聽terrestrial viewpoint\, to 
 assess generalization across viewpoints. We聽trained 15 participants to cat
 egorize these scenes for a total of 12聽hours. Each聽individual training reg
 imen was comprised of six sessions\; participants聽trained聽on half of the s
 timuli for five sessions\, and in the sixth session they聽viewed聽he other h
 alf of the scenes. To assess the efficiency of training\, we聽employed聽two 
 behavioral metrics: (1) within-set learning (i.e. learning across the聽five
 聽sessions)\, and (2) generalization (i.e. transfer of learning). Learning聽
 occurred within the five sessions (evident in a monotonic decrease in聽reac
 tion聽times and increase in accuracy)\, and notably\, we also found transfe
 r of聽learning\, as performance in the sixth session was pronouncedly bette
 r than聽performance in the first four training sessions. Together\, these r
 esults聽suggest that expertise in scene recognition can be trained in the l
 ab and聽will聽form the basis for future studies on the neural substrates of 
 scene聽expertise.
DTSTART;TZID=America/New_York:20180119T121500
DTEND;TZID=America/New_York:20180119T131500
LAST-MODIFIED:20180118T201124Z
LOCATION:Fawcett 339A
SUMMARY:Psychology Brown Bag: Training expertise in scene recognition
URL;TYPE=URI:/events/psychology-brown-bag-training-ex
 pertise-scene-recognition
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