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Article: Separation of low-level and high-level factors in complex tasks: Visual search

TitleSeparation of low-level and high-level factors in complex tasks: Visual search
Authors
Issue Date1995
PublisherAmerican Psychological Association. The Journal's web site is located at http://www.apa.org/journals/rev.html
Citation
Psychological Review, 1995, v. 102 n. 2, p. 356-378 How to Cite?
AbstractA method for assessing the role of low-level factors in complex tasks is described. The method, which involves comparing simple-discrimination performance and complex-task performance for the same stimuli, was used to assess the role of low-level factors in multiple-fixation visual search. In one experiment, the target and background were composed of line segments that differed in color, orientation, or both; in another, target and background were composed of filtered-noise textures that differed in spatial frequency, orientation, or both. Most of the variance in search time was found to be predictable from the discrimination data, suggesting that low-level factors often play a dominant role in limiting search performance. A signal-detection model is presented that demonstrates how current psychophysical models of visual discrimination might be generalized to obtain a theory that can predict search performance for a wide range of stimulus conditions.
Persistent Identifierhttp://hdl.handle.net/10722/172010
ISSN
2015 Impact Factor: 7.581
2015 SCImago Journal Rankings: 5.287
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGeisler, WSen_US
dc.contributor.authorChou, KLen_US
dc.date.accessioned2012-10-30T06:19:39Z-
dc.date.available2012-10-30T06:19:39Z-
dc.date.issued1995en_US
dc.identifier.citationPsychological Review, 1995, v. 102 n. 2, p. 356-378en_US
dc.identifier.issn0033-295Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/172010-
dc.description.abstractA method for assessing the role of low-level factors in complex tasks is described. The method, which involves comparing simple-discrimination performance and complex-task performance for the same stimuli, was used to assess the role of low-level factors in multiple-fixation visual search. In one experiment, the target and background were composed of line segments that differed in color, orientation, or both; in another, target and background were composed of filtered-noise textures that differed in spatial frequency, orientation, or both. Most of the variance in search time was found to be predictable from the discrimination data, suggesting that low-level factors often play a dominant role in limiting search performance. A signal-detection model is presented that demonstrates how current psychophysical models of visual discrimination might be generalized to obtain a theory that can predict search performance for a wide range of stimulus conditions.en_US
dc.languageengen_US
dc.publisherAmerican Psychological Association. The Journal's web site is located at http://www.apa.org/journals/rev.htmlen_US
dc.relation.ispartofPsychological Reviewen_US
dc.subject.meshAttentionen_US
dc.subject.meshDiscrimination Learningen_US
dc.subject.meshHumansen_US
dc.subject.meshOrientationen_US
dc.subject.meshPattern Recognition, Visualen_US
dc.subject.meshPsychophysicsen_US
dc.subject.meshReaction Timeen_US
dc.titleSeparation of low-level and high-level factors in complex tasks: Visual searchen_US
dc.typeArticleen_US
dc.identifier.emailChou, KL: klchou@hku.hken_US
dc.identifier.authorityChou, KL=rp00583en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1037/0033-295X.102.2.356-
dc.identifier.pmid7740093-
dc.identifier.scopuseid_2-s2.0-0029284763en_US
dc.identifier.volume102en_US
dc.identifier.issue2en_US
dc.identifier.spage356en_US
dc.identifier.epage378en_US
dc.identifier.isiWOS:A1995QT75700008-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridGeisler, WS=7007021425en_US
dc.identifier.scopusauthoridChou, KL=7201905320en_US

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