On the roles of central and peripheral vision in the extraction of material and form from a scene

  • Raymond M. KleinEmail author
  • Mathew Reichertz
  • John Christie
  • Jack Wong
  • Bryan Maycock
Short Report


Conventional wisdom tells us that the appreciation of local (detail) and global (form and spatial relations) information from a scene is preferentially processed by central and peripheral vision, respectively. Using an eye monitor with high spatial and temporal precision, we sought to provide direct evidence for this idea by controlling whether carefully designed hierarchical scenes were viewed only with central vision (the periphery was masked), only with peripheral vision (the central region was masked), or with full vision. The scenes consisted of a neutral form (a D shape) composed of target circles or squares, or a target circle or square composed of neutral material (Ds). The task was for the participant to determine as quickly as possible whether the scene contained circle(s) or square(s). Increasing the size of the masked region had deleterious effects on performance. This deleterious effect was greater for the extraction of form information when the periphery was masked, and greater for the extraction of material information when central vision was masked, thus providing direct evidence for conventional ideas about the processing predilections of central and peripheral vision.


Global form Local material Gaze-contingent masking Central vision Peripheral vision 


Author note

The research reported here, which was designed and conducted at the Drawing Lab at Nova Scotia College of Art and Design University, was made possible by an Insight Grant from the Social Sciences and Humanities Council of Canada (435-2014-0758). We are grateful to Jonathan Mulle for programming the task, and to Austin Hurst for technical assistance.


  1. Asch, S. E., Ceraso, J., & Heimer, W. (1960). Perceptual conditions of association. Psychological Monographs: General and Applied, 74, 1–48. CrossRefGoogle Scholar
  2. Bertera, J. H., & Rayner, K. (2000). Eye movements and the span of the effective stimulus in visual search. Perception & Psychophysics, 62, 576–585. CrossRefGoogle Scholar
  3. Christie, J., Ginsberg, J. P., Steedman, J., Fridriksson, J., Bonilha, L., & Rorden, C. (2012). Global versus local processing: Seeing the left side of the forest and the right side of the trees. Frontiers in Human Neuroscience, 6, 28. CrossRefPubMedPubMedCentralGoogle Scholar
  4. Cornelissen, F. W., Bruin, K. J., & Kooijman, A. C. (2005). The influence of artificial scooters on eye movements during visual search. Optometry and Vision Science, 82, 27–35.PubMedGoogle Scholar
  5. Dixon, P. (2008). Models of accuracy in repeated-measures design. Journal of Memory and Language, 59, 447–456.CrossRefGoogle Scholar
  6. Goldmeier, E. (1972). Similarity in visually perceived forms. Psychological Issues, 8(Whole No. 29). (Original work published 1936)Google Scholar
  7. Jaeger, T. F. (2008). Categorical data analysis: Away from ANOVAs (transformation or not) and toward logit mixed models. Journal of Memory and Language, 59, 434–446. CrossRefPubMedPubMedCentralGoogle Scholar
  8. Kimchi, R., & Palmer, S. E. (1982). Form and texture in hierarchically constructed patterns. Journal of Experimental Psychology: Human Perception and Performance, 8, 521–535. CrossRefPubMedGoogle Scholar
  9. Klein, R. M., & Barresi, J. (1985). Perceptual salience of form versus material as a function of variations in spacing and number of elements. Perception & Psychophysics, 37, 440–446.CrossRefGoogle Scholar
  10. Larson, A. M., & Loschky, L. C. (2009). The contributions of central versus peripheral vision to scene gist recognition. Journal of Vision, 9(10), 6:1–16. CrossRefPubMedGoogle Scholar
  11. Livingstone, M. (2002). Vision and art: The biology of seeing. New York, NY: Harry Abrams Inc.Google Scholar
  12. Loschky, L. C., & McConkie, G. W. (2002). Investigating spatial vision and dynamic attentional selection using a gaze-contingent multiresolutional display. Journal of Experimental Psychology: Applied, 8, 99–117. CrossRefPubMedGoogle Scholar
  13. Miellet, S., Zhou, X. Y., He, L. N., Rodger, H., & Caldara, R. (2010). Investigating cultural diversity for extrafoveal information use in visual scenes. Journal of Vision, 10(6), 21:1–18. CrossRefPubMedGoogle Scholar
  14. Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive Psychology, 9, 353–383. CrossRefGoogle Scholar
  15. Nuthmann, A. (2014). How do the regions of the visual field contribute to object search in real-world scenes? Evidence from eye movements. Journal of Experimental Psychology: Human Perception and Performance, 40, 342–360. CrossRefPubMedGoogle Scholar
  16. Pomerantz, J. R., & Sager, L. C. (1975). Asymmetric integrality with dimensions of visual pattern. Perception & Psychophysics, 18, 460–466.CrossRefGoogle Scholar
  17. Pomerantz, J. R., Sager, L. C., & Stoever, R. J. (1977). Perception of wholes and of their component parts: Some configural superiority effects. Journal of Experimental Psychology: Human Perception and Performance, 3, 422–435. CrossRefPubMedGoogle Scholar
  18. Rayner, K. (1999). What have we learned about eye movements during reading? In R. M. Klein & P. A. McMullen (Eds.), Converging methods for understanding reading and dyslexia (pp. 23–56). Cambridge, MA: MIT Press.Google Scholar
  19. Rayner, K., & Bertera, J. H. (1979). Reading without a fovea. Science, 206, 468–469.CrossRefPubMedGoogle Scholar
  20. Thorpe, S. J., Gegenfurtner, K. R., Fabre-Thorpe, M., & Bülthoff, H. H. (2001). Detection of animals in natural images using far peripheral vision. European Journal of Neuroscience, 14, 869–876.CrossRefPubMedGoogle Scholar

Copyright information

© The Psychonomic Society, Inc. 2019

Authors and Affiliations

  • Raymond M. Klein
    • 1
    • 2
    Email author
  • Mathew Reichertz
    • 2
  • John Christie
    • 1
    • 2
  • Jack Wong
    • 2
  • Bryan Maycock
    • 2
  1. 1.Dalhousie UniversityHalifaxCanada
  2. 2.Nova Scotia College of Art and Design UniversityHalifaxCanada

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