An efficient technique for revealing visual search strategies with classification images

Perception and Psychophysics

Volumn 69, Issue 1, 2007, Pages 103-112

  Tavassoli, Abtine ^a   Van Der Linde, Ian ^b   Bovik, Alan C ^a   Cormack, Lawrence K ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b ANGLIA RUSKIN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTENTION; CONTRAST SENSITIVITY; HUMAN; ORIENTATION; PATTERN RECOGNITION; PERCEPTION; PERCEPTION DISORDER; PSYCHOPHYSICS; REACTION TIME; RECEPTIVE FIELD; SACCADIC EYE MOVEMENT; VISUAL FIELD;

ADULT; ATTENTION; CONTRAST SENSITIVITY; FIELD DEPENDENCE-INDEPENDENCE; HUMANS; ORIENTATION; PATTERN RECOGNITION, VISUAL; PERCEPTUAL DISTORTION; PERCEPTUAL MASKING; PSYCHOPHYSICS; REACTION TIME; SACCADES; VISUAL FIELDS;

EID: 34447311427     PISSN: 00315117     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03194457     Document Type: Article

References (19)

1. ABBEY, C. K., & ECKSTEIN, M. P. (2002). Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments. Journal of Vision, 2, 66-78.
2. AHUMADA, A. J., JR. (1996). Perceptual classification images from Vernier acuity masked by noise. Perception, 25, 18.
3. AHUMADA, A. J., JR. (2002). Classification image weights and internal noise level estimation. Journal of Vision, 2, 121-131.
4. BEARD, B. L., & AHUMADA, A. J., JR. (1998). A technique to extract relevant image features for visual tasks. In B. E. Rogowitz & T. N. Pappas (Eds.), Human Vision and Electronic Imaging III: Proceedings of SPIE (Vol. 3299, pp. 79-85). Bellingham, WA: SPIE.
5. B RAINARD, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436.
6. ECKSTEIN, M. P., & AHUMADA, A. J., JR. (2002). Classification images: A tool to analyze visual strategies. Journal of Vision, 2, 1.
7. ECKSTEIN, M. P., SHIMOZAKI, S. S., & ABBEY, C. K. (2002). The footprints of visual attention in the Posner cueing paradigm revealed by classification images. Journal of Vision, 2, 25-45.
8. FIELD, D. J. (1987). Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A, 4, 2379-2394.
9. GEISLER, W. S., & PERRY, J. S. (1998). A real-time foveated multiresolution system for low-bandwidth video communication. In B. E. Rogowitz & T. N. Pappas (Eds.), Human Vision and Electronic Imaging III: Proceedings of SPIE (Vol. 3299, pp. 294-305). Bellingham, WA: SPIE.
10. GOLD, J. M., MURRAY, R. F., BENNETT, P. J., & SEKULER, A. B. (2000). Deriving behavioral receptive fields for visually completed contours. Current Biology, 10, 663-666.
11. JACOB, R. J. K. (1995). Eye tracking in advanced interface design. In W. Barfield& T. A. Furness (Eds.), Virtual environments and advanced interface design (pp. 258-288). New York: Oxford University Press.
12. LEE, S., & BOVIK, A. C. (2003). Fast algorithms for foveated video processing. IEEE Transactions on Circuits and Systems for Video Technology, 13, 149-162.
13. NERI, P., & HEEGER, D. J. (2002). Spatiotemporal mechanisms for detecting and identifying image features in human vision. Nature Neuroscience, 5, 812-816.
14. NERI, P., PARKER, A. J., & BLAKEMORE, C. (1999). Probing the human stereoscopic system with reverse correlation. Nature, 401, 695-698.
15. PELLI, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442.
16. RAJASHEKAR, U., CORMACK, L. K., & BOVIK, A. C. (2002). Visual search: Structure from noise. In Proceedings of the 2002 Symposium on Eye Tracking Research and Applications (pp. 119-123). New York: ACM Press.
17. RAJASHEKAR, U., CORMACK, L. K., & BOVIK, A. C. (2004). Point of gaze analysis reveals visual search strategies. In B. E. Rogowitz & T. N. Pappas (Eds.), Human Vision and Electronic Imaging IX: Proceedings of SPIE (Vol. 5292, pp. 296-306). Bellingham, WA: SPIE
18. SIMONCELLI, E. P. (2002). Seeing patterns in noise. Trends in Cognitive Sciences, 7, 51-53.
19. WATSON, A. B., & PELLI, D. G. (1983). QUEST: A Bayesian adaptive psychometric method. Perception & Psychophysics, 33, 113-120.