Relative Change Probability Affects the Decision Process of Detecting Multiple Feature Changes.
Change in a real world setting usually consists of multiple feature changes, and one feature may change more often than another. This study manipulated the number of changes in orientation and spatial frequency to examine the effect of the relative change probability on the comparison and decision p...
| Publicado en: | Journal of Experimental Psychology. Human Perception & Performance Vol. 39; no. 5; pp. 1365 - 1386 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Psychological Association
Oct2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=91253026&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 91253026 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00961523 EPH jtl: Journal of Experimental Psychology. Human Perception & Performance issn: 00961523 maglogo: N pubinfo: dt: Oct2013 vid: 39 iid: 5 pid: 34 pub: American Psychological Association artinfo: ui: 91253026 10.1037/a0030693 ppf: 1365 ppct: 21 formats: tig: atl: Relative Change Probability Affects the Decision Process of Detecting Multiple Feature Changes. aug: au: Cheng-Ta Yang Ting-Yun Chang Chia-Jung Wu affil: National Cheng Kung University su: Change Decision making Information processing Learning Probability theory sug: subj: Change Decision making Information processing Learning Probability theory keyword: change detection probability systems factorial technology change detection probability systems factorial technology ab: Change in a real world setting usually consists of multiple feature changes, and one feature may change more often than another. This study manipulated the number of changes in orientation and spatial frequency to examine the effect of the relative change probability on the comparison and decision processes in a change detection task. Results showed that when two types of features changed equally often (Experiment 1), parallel self-terminating processing was adopted. When frequency changed more often than orientation (Experiment 2), serial self-terminating processing was adopted. However, when there was a lack of cognitive resources (Experiment 3), parallel self-terminating processing was adopted even when relative saliency existed. In all three experiments, the process capacity ranged from limited to unlimited. In addition, the participants reported that they were not aware of their use of change probability information, thus, providing evidence of implicit learning of change probability. These results support the relative saliency hypothesis: relative change probability affects the relative salience between features and, consequently, influences the adoption of decision strategies. Furthermore, the results highlight that perceptual comparison and decision processes are flexible and can vary depending on the relative saliency and resources available for information processing. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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