Simple summation rule for optimal fixation selection in visual search

Vision Research

Volumn 49, Issue 10, 2009, Pages 1286-1294

  Najemnik, Jiri ^a   Geisler, Wilson S ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Eye movements; Fixation selection in visual search; Ideal observer; Ideal searcher; Visual search

Indexed keywords

ARTICLE; BAYES THEOREM; EYE MOVEMENT; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; PROBABILITY; SEARCH ENGINE; VISION;

BAYES THEOREM; EYE MOVEMENTS; FIELD DEPENDENCE-INDEPENDENCE; FIXATION, OCULAR; HUMANS; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; PHOTIC STIMULATION; PSYCHOMETRICS; PSYCHOMOTOR PERFORMANCE; PSYCHOPHYSICS;

EID: 67349176044     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2008.12.005     Document Type: Article

References (53)

1. Aivar M.P., Hayhoe M.M., Chizk C.L., and Mruczek R.E.B. Spatial memory and saccadic targeting in a natural task. Journal of Vision 5 (2005) 177-193
2. Beutter B.R., Eckstein M.P., and Stone L.S. Saccadic and perceptual performance in visual search tasks. I. Contrast detection and discrimination. Journal of the Optical Society of America A - Optics Image Science and Vision 20 (2003) 1341-1355
3. Carrasco M., Evert D.L., Chang I., and Katz S.M. The eccentricity effect-target eccentricity affects performance on conjunction searches. Perception and Psychophysics 57 (1995) 1241-1261
4. Carrasco M., Penpeci-Talgar C., and Cameron E.L. Characterizing visual performance fields: Effects of transient covert attention, spatial frequency, eccentricity, task and set size. Spatial Vision 15 (2001) 61-75
5. Caspi A., Beutter B.R., and Eckstein M.P. The time course of visual information accrual guiding eye movement decisions. Proceedings of the National Academy of Sciences 101 35 (2004) 13086-13090
6. Chaloner K., and Verdinelli I. Bayesian experimental design: A Review. Statistical Science 10 3 (1997) 273-304
7. Cover T.M., and Thomas J.A. Elements of information theory (1991), John Wiley & Sons, Canada
8. Curcio C.A., and Allen K.A. Topography of ganglion cells in human retina. Journal of Comparative Neurology 300 (1990) 5-25
9. Duncan J., and Humphreys G.W. Visual search and stimulus similarity. Psychological Review 96 (1989) 433-458
10. Eckstein M.P. The lower visual search efficiency for conjunctions is due to noise and not serial attentional processing. Psychological Science 9 (1998) 111-118
11. Eckstein M.P., Beutter B.R., and Stone L.S. Quantifying the performance limits of human saccadic targeting during visual search. Perception 30 (2001) 1389-1401
12. Erdogmus D., and Principe J.C. Insights on the relationship between probability of misclassification and information transfer through classifiers. The International Journal of Computers, Systems and Signal 3 1 (2002) 40-54
13. Ertin, E., Fisher, J. W. & Potter, L. C. (2003). Maximum mutual information principle for dynamic sensor query problems. In 2nd International Workshop on Information Processing in Sensor Networks. LNCS 2634. pp. 405-416.
14. Feder M., and Merhav N. Relations Between Entropy and Error Probability. IEEE Transactions on Information Theory. 40 1 (1994) 259-266
15. Findlay J.M., and Gilchrist I.D. Active vision (2003), Oxford University Press, New York
16. Findlay J.M., and Walker R.A. Model of saccade generation based on parallel processing and competitive inhibition. Behavioral and Brain Sciences 22 (1999) 661-721
17. Geisler W.S., Albrecht D.G., Salvi R., and Saunders S.S. Discrimination performance of single neurons: Rate and temporal-pattern information. Journal of Neurophysiology 66 (1991) 334-362
18. Geisler W.S., and Chou K.-L. Separation of low-level and high-level factors in complex taks: Visual search. Psychological Review 102 2 (1995) 356-1378
19. Geisler W.S., Perry J.S., and Najemnik J. Visual search: The role of peripheral information measured using gaze-contingent displays. Journal of Vision 6 (2006) 858-873
20. Geman D., and Jedynak B. An active testing model for tracking roads in satellite images. IEEE Transactions on Pattern Analysis and Machine Intelligence 6 (1996) 858-873
21. Green D.M., and Swets J.A. Signal detection theory and psychophysics (1966), Wiley, New York
22. Hayhoe M.M., Bensinger D.G., and Ballard D.H. Task constraints in visual working memory. Vision Research 38 (1998) 125-137
23. Hooge I.T., and Erkelens C.J. Peripheral vision and oculomotor control during visual search. Vision Research 39 (1999) 1567-1575
24. Irwin D.E. Information integration across saccadic eye movement. Cognitive Psychology 23 (1991) 420-458
25. Itti L., and Koch C. A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research 40 (2000) 1489-1506
26. Klein R.M. Inhibitory tagging facilitates visual search. Nature 324 (1988) 430-431
27. Klein R.M. Inhibition of return. Trends in Cognitive Sciences 4 4 (2000) 138-147
28. Kowler E., Anderson E., Dosher B., and Blaser E. The role of attention in the programming of saccades. Vision Research 13 (1995) 1897-1916
29. Lindley D.V. On a measure of the information provided by an experiment. Annals of Mathematical Statistics 27 4 (1956) 986-1005
30. Lu Z.-L., and Dosher B.A. Characterizing human perceptual inefficiencies with equivalent internal noise. Journal of the Optical Society of America A 16 (1999) 764-778
31. Motter B.C., and Belky E.J. The zone of focal attention during active visual search. Vision Research 38 (1998) 1007-1022
32. Motter B.C., and Belky E.J. The guidance of eye movements during active visual search. Vision Research 38 (1998) 1805-1818
33. Najemnik J., and Geisler W.S. Optimal eye movement strategies in visual search. Nature 434 (2005) 387-391
34. Najemnik J., and Geisler W.S. Eye movement statistics in humans are consistent with an optimal strategy. Journal of Vision 8 3 (2008) 1-14 4
35. Palmer J., Verghese P., and Pavel M. The psychophysics of visual search. Vision Research 40 (2000) 1227-1268
36. Pelli D.G., and Farell B. Why use noise?. Journal of the Optical Society of America A 16 (1999) 647-653
37. Pomplun M., Reingold E.M., and Shen J. Area activation: A computational model of saccadic selectivity in visual search. Cognitive Science 27 (2003) 299-312
38. Posner, M.I., & Cohen, Y. (1984). Components of visual orienting. Chapter in Attention & Performance X. In H. Bouma, & D. Bouwhuis, (Eds.), (pp. 531-56), Erlbaum.
39. Rafal R.D., Calabresi P.A., Brennan C.W., and Sciolto T.K. Saccade preparation inhibits reorienting to recently attended locations. Journal of Experimental Psychology: Human Perception and Performance 15 (1989) 673-685
40. Raj R., Geisler W.S., Frazor R.A., and Bovik A.C. Contrast statistics for foveated visual systems: Fixation selection by minimizing contrast entropy. Journal of the Optical Society of America A 22 10 (2005) 2039-2049
41. Rajashekar U., Bovik A.C., and Cormack L.K. Visual search in noise: Revealing the influence of structural cues by gaze-contingent classification image analysis. Journal of Vision, Special Issue on Finding Visual Features: Using Stochastic Stimuli 6 4 (2006) 379-386
42. Rao R.P.N., Zelinsky G.J., Hayhoe M.M., and Ballard D.H. Eye movements in iconic visual search. Vision Research 42 (2002) 1447-1463
43. Renninger L.W., Verghese P., and Coughlan J. Where to look next? Eye movements reduce local uncertainty. Journal of Vision 7 3 (2007) 1-17
44. Scialfa C.T., and Joffe K.M. Response times and eye movements in feature and conjunction search as a function of target eccentricity. Perception & Psychophysics 60 (1998) 1067-1082
45. Sebastiani, P. & Wynn, H. P. (1997). Bayesian experimental design and Shannon information. Proceedings of the Section on Bayesian Statistical Science, American Statistical Association, pp. 176-181.
46. Shen J., Reingold E.M., and Pomplun M. Guidance of eye movements during conjunctive visual search: The distractor-ratio effect. Canadian Journal of Experimental Psychology 57 (2003) 76-96
47. Torralba A. Contextual influences on saliency. In: Itti L., Rees G., and Tsotsos J. (Eds). Neurobiology of Attention (2005), Academic Press, Elsevier 586-593
48. Torralba A., Oliva A., Castelhano M., and Henderson J.M. Contextual guidance of attention in natural scenes: The role of global features on object search. Psychological Review 113 4 (2006) 766-786
49. Treisman A. Features and objects: The fourteenth Bartlett memorial lecture. Quarterly Journal of Experimental Psychology A 40 (1988) 201-237
50. Wolfe J.M. Visual search in continuous, naturalistic stimuli. Neuron 15 (1994) 541-552
51. Zelinsky G.J. Using eye saccades to assess the selectivity of search movements. Vision Research 36 (1996) 2177-2187
52. Zelinsky G. Specifying the components of attention in a visual search task. In: Itti L., Rees G., and Tsotsos J. (Eds). Neurobiology of attention (2005), Elsevier, Inc 395-400
53. Zelinsky G.J., Rao R.P., Hayhoe M.M., and Ballard D.H. Eye movements reveal the spatio-temporal dynamics of visual search. Psychological Science 8 (1997) 448-453