Are summary statistics enough? Evidence for the importance of shape in guiding visual search

REFERENCES

• Agresti, A. (2002). Categorical data analysis (Vol. 359). Chichester: John Wiley & Sons.
   Google Scholar
• Alexander, R. G., & Zelinsky, G. J. (2011). Visual similarity effects in categorical search. Journal of Vision, 11(8), 1–15. 10.1167/11.8.9
   Web of Science ®Google Scholar
• Alexander, R. G., & Zelinsky, G. J. (2012). Effects of part-based similarity on visual search: The Frankenbear experiment. Vision Research, 54, 20–30. 10.1016/j.visres.2011.12.004
   PubMed Web of Science ®Google Scholar
• Alvarez, G. A. (2011). Representing multiple objects as an ensemble enhances visual cognition. Trends in Cognitive Sciences, 15(3), 122–131. 10.1016/j.tics.2011.01.003
   PubMed Web of Science ®Google Scholar
• Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412. 10.1016/j.jml.2007.12.005
   Web of Science ®Google Scholar
• Balas, B., Nakano, L., & Rosenholtz, R. (2009). A summary-statistic representation in peripheral vision explains visual crowding. Journal of Vision, 9(12): 13, 1–18. 10.1167/9.12.13
   PubMed Web of Science ®Google Scholar
• Chubb, C., Nam, J. H., Bindman, D. R., & Sperling, G. (2007). The three dimensions of human visual sensitivity to first-order contrast statistics. Vision Research, 47(17), 2237–2248. 10.1016/j.visres.2007.03.025
   PubMed Web of Science ®Google Scholar
• Freeman, J., & Simoncelli, E. P. (2011). Metamers of the ventral stream. Nature Neuroscience, 14(9), 1195–1201. 10.1038/nn.2889
   PubMed Web of Science ®Google Scholar
• Greenwood, J. A., Bex, P. J., & Dakin, S. C. (2009). Positional averaging explains crowding with letter-like stimuli. Proceedings of the National Academy of Sciences, 106(31), 13130–13135. 10.1073/pnas.0901352106
   PubMed Web of Science ®Google Scholar
• Haberman, J., & Whitney, D. (2012). Ensemble perception: Summarizing the scene and broadening the limits of visual processing. In J. Wolfe & L. Robertson (Eds.), From perception to consciousness: Searching with Anne Treisman (pp. 339–349). Oxford: Oxford University Press.
   Google Scholar
• Hwang, A. D., Higgins, E. C., & Pomplun, M. (2009). A model of top-down attentional control during visual search in complex scenes. Journal of Vision, 9(5), 1–18. 10.1167/9.5.25
   PubMed Web of Science ®Google Scholar
• Jaeger, T. F. (2008). Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models. Journal of Memory and Language, 59(4), 434–446. 10.1016/j.jml.2007.11.007
   PubMed Web of Science ®Google Scholar
• Loschky, L. C., Hansen, B. C., Sethi, A., & Pydimari, T. (2010). The role of higher-order image statistics in masking scene gist recognition. Attention, Perception & Psychophysics, 72(2), 427–444. 10.3758/APP.72.2.427
   PubMed Web of Science ®Google Scholar
• Luke, S. G., & Christianson, K. (2011). Stem and whole-word frequency effects in the processing of inflected verbs in and out of a sentence context. Language and Cognitive Processes, 26(8), 1173–1192. 10.1080/01690965.2010.510359
   Web of Science ®Google Scholar
• Maxfield, J. T., & Zelinsky, G. J. (2012). Searching through the hierarchy: How level of target categorization affects visual search. Visual Cognition, 20(10), 1153–1163. 10.1080/13506285.2012.735718
   PubMed Web of Science ®Google Scholar
• McConkie, G. W., & Rayner, K. (1975). The span of the effective stimulus during a fixation in reading. Perception & Psychophysics, 17(6), 578–586. 10.3758/BF03203972
   Web of Science ®Google Scholar
• McConkie, G. W., & Rayner, K. (1976). Identifying the span of the effective stimulus in reading: Literature review and theories of reading. In H. Singer & R. B. Ruddell (Eds.), Theoretical models and processes of reading (pp. 137–162). Newark, DE: International Reading Association.
   Google Scholar
• McIIwain, J. (1986). Point images in the visual system: New interest in an old idea. Trends in Neuro Sciences, 9, 354–358.
   Web of Science ®Google Scholar
• Nagy, A. L., & Sanchez, R. R. (1990). Critical color differences determined with a visual search task. Journal of the Optical Society of America A, 7(7), 1209–1217. 10.1364/JOSAA.7.001209
   PubMedGoogle Scholar
• Nuthmann, A. (2013). On the visual span during object search in real-world scenes. Visual Cognition, 21(7), 803–837 10.1080/13506285.2013.832449
   Web of Science ®Google Scholar
• Oliva, A., & Torralba, A. (2006). Building the gist of a scene: The role of global image features in recognition. Progress in Brain Research, 155, 23–36.
   PubMed Web of Science ®Google Scholar
• Parkes, L., Lund, J., Angelucci, A., Solomon, J. A., & Morgan, M. (2001). Compulsory averaging of crowded orientation signals in human vision. Nature Neuroscience, 4(7), 739–744. 10.1038/89532
   PubMed Web of Science ®Google Scholar
• Pelli, D. G. (2008). Crowding: A cortical constraint on object recognition. Current Opinion in Neurobiology, 18(4), 445–451. 10.1016/j.conb.2008.09.008
   PubMed Web of Science ®Google Scholar
• Portilla, J., & Simoncelli, E. P. (2000). A parametric texture model based on joint statistics of complex wavelet coefficients. International Journal of Computer Vision, 40(1), 49–70. 10.1023/A:1026553619983
   Web of Science ®Google Scholar
• R Development Core Team (2012). R: A language and environment for statistical computing [Computer software manual]. Vienna, Austria. From http://www.R-project.org/
   Google Scholar
• Rayner, K. (1975). The perceptual span and peripheral cues in reading. Cognitive Psychology, 7(1), 65–81. 10.1016/0010-0285(75)90005-5
   Web of Science ®Google Scholar
• Rayner, K. (1978). Eye movements in reading and information processing. Psychological Bulletin, 85, 618–660. 10.1037/0033-2909.85.3.618
   PubMed Web of Science ®Google Scholar
• Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422. 10.1037/0033-2909.124.3.372
   PubMed Web of Science ®Google Scholar
• Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search, Quarterly Journal of Experimental Psychology, 62(8), 1457–1506. 10.1080/17470210902816461
   PubMed Web of Science ®Google Scholar
• Rosenholtz, R., Huang, J., & Ehinger, K. A. (2012). Rethinking the role of top-down attention in vision: Effects attributable to a lossy representation in peripheral vision. Frontiers in Psychology, 3, 1–15. 10.3389/fpsyg.2012.00013
   Web of Science ®Google Scholar
• Rosenholtz, R., Huang, J., Raj, A., Balas, B. J., & Ilie, L. (2012). A summary statistic representation in peripheral vision explains visual search. Journal of Vision, 12(4), 1–17. 10.1167/12.4.14
   Web of Science ®Google Scholar
• Rousselet, G. A., Husk, J. S., Bennett, P. J., & Sekuler, A. B. (2005). Spatial scaling factors explain eccentricity effects on face ERPs. Journal of Vision, 5(10), 755–763. 10.1167/5.10.1
   PubMed Web of Science ®Google Scholar
• Sejnowski, T. J. (1988). Neural populations revealed. Nature, 332(6162), 308. 10.1038/332308a0
   PubMed Web of Science ®Google Scholar
• To, M., Gilchrist, I., Troscianko, T., & Tolhurst, D. (2011). Discrimination of natural scenes in central and peripheral vision. Vision Research, 51(14), 1686–1698. 10.1016/j.visres.2011.05.010
   PubMed Web of Science ®Google Scholar
• Treisman, A. (1988). Features and objects: The fourteenth Bartlett memorial lecture. Quarterly Journal of Experimental Psychology, 40(2), 201–237. 10.1080/02724988843000104
   Web of Science ®Google Scholar
• Whitney, D., & Levi, D. M. (2011). Visual crowding: A fundamental limit on conscious perception and object recognition. Trends in Cognitive Sciences, 15(4), 160–168. 10.1016/j.tics.2011.02.005
   PubMed Web of Science ®Google Scholar
• Wolfe, J. M. (1994). Guided search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1(2), 202–238. 10.3758/BF03200774
   PubMed Web of Science ®Google Scholar
• Wolfe, J. M., Friedman-Hill, S. R., Stewart, M. I., & O'Connell, K. M. (1992). The role of categorization in visual search for orientation. Journal of Experimental Psychology: Human Perception and Performance, 18(1), 34–49. 10.1037/0096-1523.18.1.34
   PubMed Web of Science ®Google Scholar
• Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience, 5(6), 495–501. 10.1038/nrn1411
   PubMed Web of Science ®Google Scholar
• Wolfe, J. M., Reijnen, E., Horowitz, T. S., Pedersini, R., Pinto, Y., & Hulleman, J. (2011). How does our search engine “see” the world? The case of amodal completion. Attention, Perception, & Psychophysics, 73(4), 1054–1064. 10.3758/s13414-011-0103-0
   PubMed Web of Science ®Google Scholar
• Yang, H., & Zelinsky, G. J. (2009). Visual search is guided to categorically-defined targets. Vision Research, 49, 2095–2103. 10.1016/j.visres.2009.05.017
   PubMed Web of Science ®Google Scholar
• Zelinsky, G. J. (2008). A theory of eye movements during target acquisition. Psychological Review, 115(4), 787–835. 10.1037/a0013118
   PubMed Web of Science ®Google Scholar
• Zelinsky, G. J., & Sheinberg, D. L. (1997). Eye movements during parallel–serial visual search. Journal of Experimental Psychology: Human Perception and Performance, 23(1), 244–262. 10.1037/0096-1523.23.1.244
   PubMed Web of Science ®Google Scholar