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A Time-Dependent Model of Information Capacity of Visual Attention

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Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4232))

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Abstract

What a human’s eye tells a human’s brain? In this paper, we analyze the information capacity of visual attention. Our hypothesis is that the limit of perceptible spatial frequency is related to observing time. Given more time, one can obtain higher resolution – that is, higher spatial frequency information, of the presented visual stimuli. We designed an experiment to simulate natural viewing conditions, in which time dependent characteristics of the attention can be evoked; and we recorded the temporal responses of 6 subjects. Based on the experiment results, we propose a person-independent model that characterizes the behavior of eyes, relating visual spatial resolution with the duration of attentional concentration time. This model suggests that the information capacity of visual attention is time-dependent.

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References

  1. Sperling, G.: The information available in brief visual presentation. Psychological Monographs (1960)

    Google Scholar 

  2. Ruderman, D.: The statistics of natural images. Network: Computation in Neural Systems 5, 517–548 (1994)

    Article  MATH  Google Scholar 

  3. Treisman, A., Sykes, M., Gelade, D.: Selective attention and stimulus integration. In: Donic, S. (ed.) Attention and performance VI, pp. 333–361 (1977)

    Google Scholar 

  4. Eriksen, C.W., St. James, J.D.: Visual attention within and around the field of focal attention: a zoom lens model. Perception and psychophysics (40), 225–240 (1986)

    Google Scholar 

  5. Müller, N.G., Bartelt, O.A., Donner, T.H., Villringer, A., Brandt, S.A.: A physiological correlate of the“Zoom Lens” of visual attention. Journal of Neuroscience 23(9), 3561–3563 (2003)

    Google Scholar 

  6. Verghese, P., Pelli, D.G.: The information capacity of visual attention. Vision Research 32(5), 983–995 (1992)

    Article  Google Scholar 

  7. Verghese, P., Pelli, D.G.: The scale bandwidth of visual search. Vision Research 34(7), 955–962 (1994)

    Article  Google Scholar 

  8. Cha, K., Horch, K.W., Normann, R.A.: Reading speed with a pixelized vision system. Journal of the Optical Society of America A-Optics & Image Science 9(5), 673–677 (1992)

    Article  Google Scholar 

  9. Coughlin, M.J., Cutmore, T.R.H., Hine, T.J.: Automated eye tracking system calibration using artificial neural networks 76, 207–220 (2004)

    Google Scholar 

  10. Intriligator, J., Cavanagh, P.: The spatial resolution of visual attention. Cognitive Psychology 43, 171–216 (2001)

    Article  Google Scholar 

  11. Reinagel, P., Zador, A.M.: Natural scene statistics at the centre of gaze. Network: Computation in Neural System 10, 1–10 (1999)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Xiaodi Hou & Liqing Zhang

Authors
  1. Xiaodi Hou
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  2. Liqing Zhang
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Hou, X., Zhang, L. (2006). A Time-Dependent Model of Information Capacity of Visual Attention. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_15

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  • DOI: https://doi.org/10.1007/11893028_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46479-2

  • Online ISBN: 978-3-540-46480-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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