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Early Top-Down Influences in Control of Attention: Evidence from the Attentional Blink

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KI 2009: Advances in Artificial Intelligence (KI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5803))

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Abstract

The relevance of top-down information in the deployment of attention has more and more been emphasized in cognitive psychology. We present recent findings about the dynamic of these processes and also demonstrate that task relevance can be adjusted rapidly by incoming bottom-up information. This adjustment substantially increases performance in a subsequent task. Implications for artificial visual models are discussed.

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References

  1. Broadbent, D.E.: Perception and Communication. Pergamon, London (1958)

    Book  Google Scholar 

  2. Posner, M.I.: Orienting of attention. The Quarterly Journal of Experimental Psychology 32, 3–25 (1980)

    Article  Google Scholar 

  3. Kahneman, D., Treisman, A., Gibbs, B.J.: The reviewing of object files: Object-specific integration of information. Cognitive Psychology 24, 175–219 (1992)

    Article  Google Scholar 

  4. Simons, D.J., Chabris, C.F.: Gorillas in our midst: sustained inattentional blindness for dynamic events. Perception 28, 1059–1074 (1999)

    Article  Google Scholar 

  5. Folk, C.L., Remington, R.W., Johnston, J.C.: Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception and Performance 18, 1030–1044 (1992)

    Google Scholar 

  6. Ansorge, U., Kiss, M., Eimer, M.: Goals-driven attentional capture by invisible colours: Evidence from event-related potentials. Psychonomic Bulletin & Review (in press)

    Google Scholar 

  7. Chun, M.M., Potter, M.C.: A two-stage model for multiple target detection in rapid serial visual presentation. Journal of Experimental Psychology: Human Perception and Performance 21, 109–127 (1995)

    Google Scholar 

  8. Ansorge, U., Neumann, O.: Intentions determine the effect of invisible metacontrast-masked primes: Evidence for top-down contingencies in a peripheral cuing task. Journal of Experimental Psychology: Human Perception and Performance 31, 762–777 (2005)

    Google Scholar 

  9. Olivers, C.N., Meeter, M.: A boost and bounce theory of temporal attention. Psychological Review 115, 836–863 (2008)

    Article  Google Scholar 

  10. Van Zoest, W., Donk, M.: Goal-driven modulation as a function of time in saccadic target selection. The Quarterly Journal of Experimental Psychology 61, 1553–1572 (2008)

    Article  Google Scholar 

  11. Raymond, J.E., Shapiro, K.L., Arnell, K.M.: Temporary suppression of visual processing in an rsvp task: an attentional blink? Journal of Experimental Psychology: Human Perception and Performance 18, 849–860 (1992)

    Google Scholar 

  12. Olivers, C.N.L., Watson, D.G.: Input control processes in rapid serial visual presentation: Target selection and distractor inhibition. Journal of Experimental Psychology: Human Perception and Performance 32, 1083–1092 (2006)

    Google Scholar 

  13. Nieuwenstein, M.R.: Top-down controlled, delayed selection in the attentional blink. Journal of Experimental Psychology: Human Perception and Performance 32, 973–985 (2006)

    Google Scholar 

  14. Itti, L., Koch, C.: Computational modelling of visual attention. Nature Reviews Neuroscience 2, 194–203 (2001)

    Article  Google Scholar 

  15. Aziz, M.Z., Mertsching, B.: Fast and robust generation of feature maps for region-based visual attention. IEEE Transactions on Image Processing 17, 633–644 (2008)

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  17. Navalpakkam, V., Itti, L.: Top-down attention selection is fine-grained. Journal of Vision 6, 1180–1193 (2006)

    Article  Google Scholar 

  18. Scharlau, I., Ansorge, U.: Direct parameter specification of an attention shift: evidence from perceptual latency priming. Vision Research 43, 1351–1363 (2003)

    Article  Google Scholar 

  19. Bröckelmann, A.K., Junghöfer, M., Scharlau, I., Hamker, F.H.: Reentrant processing from attentional task sets: Converging support from magnetoencephalography and computational modeling (in prep.)

    Google Scholar 

  20. Brainard, D.H.: The psychophysics toolbox. Spatial Vision 10, 433–436 (1997)

    Article  Google Scholar 

  21. Hamker, F.: A computational model of visual stability and change detection during eye movements in real-world scenes. Visual Cognition, 1161–1176 (2005)

    Google Scholar 

  22. Hamker, F.H.: Modeling feature-based attention as an active top-down inference process. Bio Systems 86, 91–99 (2006)

    Article  Google Scholar 

  23. Hamker, F.H.: A dynamic model of how feature cues guide spatial attention. Vision Research 44, 501–521 (2004)

    Article  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Hilkenmeier, F., Tünnermann, J., Scharlau, I. (2009). Early Top-Down Influences in Control of Attention: Evidence from the Attentional Blink. In: Mertsching, B., Hund, M., Aziz, Z. (eds) KI 2009: Advances in Artificial Intelligence. KI 2009. Lecture Notes in Computer Science(), vol 5803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04617-9_85

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  • DOI: https://doi.org/10.1007/978-3-642-04617-9_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04616-2

  • Online ISBN: 978-3-642-04617-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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