Movatterモバイル変換


[0]ホーム

URL:


Skip to main content
Springer Nature Link
Log in

Visual search for singleton feature targets within and across feature dimensions

  • Published:
Perception & Psychophysics Aims and scope Submit manuscript

Abstract

Three experiments investigated visual search for singleton feature targets. The critical dimension on which the target differed from the nontargets was either known in advance or unknown—that is, the critical difference varied eitherwithin a dimension oracross dimensions. Previous work (Treisman, 1988) had shown that, while the search reaction time (RT) functions were flat in both conditions, there was an intercept cost for the cross-dimension condition. Experiment 1 examined whether this cost would disappear when responses could be based on the detection ofany (target—nontarget) difference in the display (by requiring a “heterogeneity/homogeneity” decision). The cost remained. This argues that pop-out requires (or involves) knowledge of the particular dimension in which an odd-one-out target differs from the nontargets; furthermore, that knowledge is acquired through the elimination of dimensions not containing a target. In Experiment 2, the subjects had to eliminate (or ignore) one potential source of difference in order to give a positive response (displays could contain a “noncritical” difference requiring a negative response). The result was a comparatively large cost in the within-dimension (positive) condition. This can be taken to indicate that popout as such does not make available information as to the particular feature value in which the target differs from the nontargets. Experiment 3 examined whether search priorities can be biased in accordance with advance knowledge of the likely source of difference. The subjects were found to have a high degree of top-down control over what particular dimension to assign priority of checking to. The implication of the results for models of visual search and selection are discussed.

Article PDF

Similar content being viewed by others

Use our pre-submission checklist

Avoid common mistakes on your manuscript.

References

  • Bacon, W. F., &Egeth, H. E. (1994). Overriding stimulus-driven attentional capture.Perception & Psychophysics,55, 485–496.

    Google Scholar 

  • Cave, K. R., &Wolfe, J. M. (1990). Modeling the role of parallel processing in visual search.Cognitive Psychology,22, 225–271.

    Article PubMed  Google Scholar 

  • Duncan, J., &Humphreys, G.W. (1989). Visual search and stimulus similarity.Psychological Review,96, 433–458.

    Article PubMed  Google Scholar 

  • Duncan, J., &Humphreys, G.W. (1992). Beyond the search surface: Visual search and attentional engagement.Journal of Experimental Psychology: Human Perception & Performance,18, 578–588.

    Article  Google Scholar 

  • Humphreys, G.W., &Müller, H. J. (1993). SEarch via Recursive Rejection (SERR): A connectionist model of visual search.Cognitive Psychology,25, 43–110.

    Article  Google Scholar 

  • Johnston, J. C., &Pashler, H. (1990). Close binding of identity and location in visual feature perception.Journal of Experimental Psychology: Human Perception & Performance,16, 843–856.

    Article  Google Scholar 

  • Koch, C., &Ullman, S. (1985). Shifts in selective visual attention: Towards the underlying neural circuitry.Human Neurobiology,4, 219–227.

    PubMed  Google Scholar 

  • Maljkovic, V., &Nakayama, K. (1994). Priming of popout: I. Role of features.Memory & Cognition,22, 657–672.

    Google Scholar 

  • Monheit, M. A., &Johnston, J. C. (1994). Spatial attention to arrays of multidimensional objects.Journal of Experimental Psychology: Human Perception & Performance,20, 691–708.

    Article  Google Scholar 

  • Pashler, H. (1988). Cross-dimensional interaction and texture segregation.Perception & Psychophysics,43, 307–318.

    Google Scholar 

  • Quinlan, P. T., &Humphreys, G.W. (1987). Visual search for targets defined by combinations of color, shape, and size: An examination of the task constraints on feature and conjunction searches.Perception & Psychophysics,41, 455–472.

    Google Scholar 

  • Reiffenrath, D. (1993).Zur Merkmalsanalyse bei visuellen Suchaufgaben— ein simulationsgestützter Ansatz [Feature analysis in visual search: A simulation-based approach]. Doctoral dissertation, Rheinisch-Westfälische Technische Hochschule Aachen. Aachen: Shaker.

    Google Scholar 

  • Sagi, D., &Julesz, B. (1985a). Detection versus discrimination of visual orientation.Perception,14, 619–628.

    Google Scholar 

  • Sagi, D., &Julesz, B. (1985b). “Where” and “what” in vision.Science,228, 1217–1219.

    Article PubMed  Google Scholar 

  • Schneider, W., &Shiffrin, R. M. (1977). Controlled and automatic human information processing: I: Detection, search, and attention.Psychological Review,84, 1–66.

    Article  Google Scholar 

  • Theeuwes, J. (1991). Cross-dimensional perceptual selectivity.Perception & Psychophysics,50, 184–193.

    Google Scholar 

  • Theeuwes, J. (1992). Perceptual selectivity for color and form.Perception & Psychophysics,51, 599–606.

    Google Scholar 

  • Treisman, A. (1988). Features and objects: The fourteenth Bartlett memorial lectures.Quarterly Journal of Experimental Psychology,40A, 201–237.

    Google Scholar 

  • Treisman, A., &Gelade, G. (1980). A feature-integration theory of attention.Cognitive Psychology,12, 97–136.

    Article PubMed  Google Scholar 

  • Treisman, A., &Gormican, S. (1988). Feature analysis in early vision: Evidence from search asymmetries.Psychological Review,95, 15–48.

    Article PubMed  Google Scholar 

  • Treisman, A., &Sato, S. (1990). Conjunction search revisited.Journal of Experimental Psychology: Human Perception & Performance,16, 459–478.

    Article  Google Scholar 

  • Wolfe, J. M. (1994). Guided Search 2.0: A revised model of visual search.Psychonomic Bulletin & Review,1, 202–238.

    Article  Google Scholar 

  • Yantis, S. (1993). Stimulus-driven attentional capture.Current Directions in Psychological Science,2, 156–161.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Psychology, Birkbeck College (University of London), Malet Street, WC1E 7HX, London, UK

    Hermann J. Müller

  2. Rheinisch-Westfälische Technische Hochschule, Aachen, Germany

    Dieter Heller & Johannes Ziegler

Authors
  1. Hermann J. Müller

    You can also search for this author inPubMed Google Scholar

  2. Dieter Heller

    You can also search for this author inPubMed Google Scholar

  3. Johannes Ziegler

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toHermann J. Müller.

Additional information

This research was supported by Science and Engineering Research Council Grant GR/H/54966 to H. Müller. It benefitted from remarks made by A. M. Jacobs and D. Reiffenrath (1993).

Rights and permissions

About this article

Cite this article

Müller, H.J., Heller, D. & Ziegler, J. Visual search for singleton feature targets within and across feature dimensions.Perception & Psychophysics57, 1–17 (1995). https://doi.org/10.3758/BF03211845

Download citation

Keywords

Use our pre-submission checklist

Avoid common mistakes on your manuscript.

Advertisement


[8]ページ先頭

©2009-2025 Movatter.jp