Serial processing of proximity groups and similarity groups.

Gestalt Perceptual grouping Proximity Serial and parallel processing Similarity

Journal

Attention, perception & psychophysics

ISSN: 1943-393X

Titre abrégé: Atten Percept Psychophys

Pays: United States

ID NLM: 101495384

Informations de publication

Date de publication:
11 Mar 2024

Historique:

accepted: 05 02 2024

medline: 12 3 2024

pubmed: 12 3 2024

entrez: 12 3 2024

Statut: aheadofprint

Résumé

Proximity and feature similarity are two important determinants of perceptual grouping in vision. When viewing visual scenes conveying both grouping options simultaneously, people most usually detect proximity groups faster than similarity groups. This article demonstrates that perceptual judgments of grouping orientation guided by either proximity or contrast similarity are indicative of a sequential organization of grouping operations in the visual pathway, which lends a temporal processing advantage to proximity grouping (Experiment 1). Invoking the double-factorial paradigm, latent cognitive architecture for perceptual grouping is also investigated in a task with redundant signals (Experiment 2). Reaction time data from this task is assessed in terms of the race model inequality, workload capacity analysis, and interaction contrasts of means and survivor functions. Again, empirical benchmarks indicate serial processing of proximity groups and similarity groups, with a self-terminating stopping rule for processing. A subset of participants exhibit atypical performance metrics, hinting at possible individual differences in configural visual processing.

Identifiants

DOI: 10.3758/s13414-024-02861-2 PMID: 38468024

pubmed: 38468024

doi: 10.3758/s13414-024-02861-2

pii: 10.3758/s13414-024-02861-2

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Subventions

Organisme : Deutsche Forschungsgemeinschaft

ID : 381713393

Informations de copyright

Références

Altieri, N., Fifić, M., Little, D. R., & Yang, C.-T. (2017). Historical foundations and a tutorial introduction to Systems Factorial Technology. In D. R. Little, N. Altieri, M. Fifić, & C.-T. Yang (Eds.), Systems Factorial Technology (pp. 3–25). https://doi.org/10.1016/B978-0-12-804315-8.00002-1

doi: 10.1016/B978-0-12-804315-8.00002-1

Baylis, G. C., & Driver, J. (1992). Visual parsing and response competition: The effect of grouping factors. Perception & Psychophysics, 51(2), 145–162. https://doi.org/10.3758/BF03212239

doi: 10.3758/BF03212239

Beck, D. M., & Palmer, S. E. (2002). Top-down influences on perceptual grouping. Journal of Experimental Psychology: Human Perception and Performance, 28(5), 1071–1084. https://doi.org/10.1037/0096-1523.28.5.1071

doi: 10.1037/0096-1523.28.5.1071 pubmed: 12421056

Ben-Av, M. B., & Sagi, D. (1995). Perceptual grouping by similarity and proximity: Experimental results can be predicted by intensity autocorrelations. Vision Research, 35(6), 853–866. https://doi.org/10.1016/0042-6989(94)00173-J

doi: 10.1016/0042-6989(94)00173-J pubmed: 7740775

Colonius, H., & Vorberg, D. (1994). Distribution inequalities for parallel models with unlimited capacity. Journal of Mathematical Psychology, 38(1), 35–58. https://doi.org/10.1006/jmps.1994.1002

doi: 10.1006/jmps.1994.1002

Cousineau, D. (2005). Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson’s method. Tutorials in Quantitative Methods for Psychology, 1(1), 42–45. https://doi.org/10.20982/tqmp.01.1.p042

doi: 10.20982/tqmp.01.1.p042

Dobbins, A. C., & Grossmann, J. K. (2002). Recurrent global dynamics underlie perceptual grouping. Neurocomputing, 44–46, 783–788. https://doi.org/10.1016/S0925-2312(02)00472-1

doi: 10.1016/S0925-2312(02)00472-1

Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149. https://doi.org/10.3758/BF03203267

doi: 10.3758/BF03203267

Fang, F., Kersten, D., & Murray, S. O. (2008). Perceptual grouping and inverse fMRI activity patterns in human visual cortex. Journal of Vision, 8(7), 1–9. https://doi.org/10.1167/8.7.2

Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7(4), 457–472. https://doi.org/10.1214/ss/1177011136

doi: 10.1214/ss/1177011136

Grassi, P. R., Zaretskaya, N., & Bartels, A. (2016). Parietal cortex mediates perceptual Gestalt grouping independent of stimulus size. NeuroImage, 133, 367–377. https://doi.org/10.1016/j.neuroimage.2016.03.008

doi: 10.1016/j.neuroimage.2016.03.008 pubmed: 26975554

Grossberg, S., & Williamson, J. (2001). A neural model of how horizontal and interlaminar connections of visual cortex develop into adult circuits that carry out perceptual grouping and learning. Cerebral cortex, 11, 37–58. https://doi.org/10.1093/cercor/11.1.37

doi: 10.1093/cercor/11.1.37 pubmed: 11113034

Han, S. (2004). Interactions between proximity and similarity grouping: An event-related brain potential study in humans. Neuroscience Letters, 367(1), 40–43. https://doi.org/10.1016/j.neulet.2004.05.098

doi: 10.1016/j.neulet.2004.05.098 pubmed: 15308293

Han, S., Ding, Y., & Song, Y. (2002). Neural mechanisms of perceptual grouping in humans as revealed by high density event related potentials. Neuroscience Letters, 319(1), 29–32. https://doi.org/10.1016/S0304-3940(01)02502-2

doi: 10.1016/S0304-3940(01)02502-2 pubmed: 11814646

Han, S., & Humphreys, G. W. (1999). Interactions between perceptual organization based on Gestalt laws and those based on hierarchical processing. Perception & Psychophysics, 61(7), 1287–1298. https://doi.org/10.3758/BF03206180

doi: 10.3758/BF03206180

Han, S., Jiang, Y., Mao, L., Humphreys, G. W., & Qin, J. (2005). Attentional modulation of perceptual grouping in human visual cortex: ERP studies. Human Brain Mapping, 26(3), 199–209. https://doi.org/10.1002/hbm.20157

doi: 10.1002/hbm.20157 pubmed: 15929087 pmcid: 6871666

Han, S., Song, Y., Ding, Y., Yund, E. W., & Woods, D. L. (2001). Neural substrates for visual perceptual grouping in humans. Psychophysiology, 38(6), 926–935. https://doi.org/10.1111/1469-8986.3860926

doi: 10.1111/1469-8986.3860926 pubmed: 12240669

Houpt, J., Blaha, L. M., McIntire, J. P., Havig, P. R., & Townsend, J. T. (2014). Systems factorial technology with R. Behavior Research Methods, 46(2), 307–330. https://doi.org/10.3758/s13428-013-0377-3

doi: 10.3758/s13428-013-0377-3 pubmed: 24019062

Houpt, J., & Townsend, J. (2010). The statistical properties of the survivor interaction contrast. Journal of Mathematical Psychology, 54, 446–453. https://doi.org/10.1016/j.jmp.2010.06.006

doi: 10.1016/j.jmp.2010.06.006

Houpt, J., & Townsend, J. (2012). Statistical measures for workload capacity analysis. Journal of Mathematical Psychology, 56, 341–355. https://doi.org/10.1016/j.jmp.2012.05.004

doi: 10.1016/j.jmp.2012.05.004 pubmed: 23175582 pmcid: 3501136

Houtkamp, R., & Roelfsema, P. (2010). Parallel and serial grouping of image elements in visual perception. Journal of Experimental Psychology. Human Perception and Performance, 36, 1443–59. https://doi.org/10.1037/a0020248

doi: 10.1037/a0020248 pubmed: 20731520

Huang, L. (2015). Grouping by similarity is mediated by feature selection: Evidence from the failure of cue combination. Psychonomic Bulletin & Review, 22(5), 1364–1369. https://doi.org/10.3758/s13423-015-0801-z

doi: 10.3758/s13423-015-0801-z

Huberle, E., & Karnath, H.-O. (2012). The role of temporo-parietal junction (TPJ) in global Gestalt perception. Brain Structure and Function, 217(3), 735–746. https://doi.org/10.1007/s00429-011-0369-y

doi: 10.1007/s00429-011-0369-y pubmed: 22193335

Kiesel, A., Miller, J., & Ulrich, R. (2007). Systematic biases and Type I error accumulation in tests of the race model inequality. Behavior Research Methods, 39, 539–51. https://doi.org/10.3758/BF03193024

doi: 10.3758/BF03193024 pubmed: 17958166

Kon, M., & Francis, G. (2022). Cortical circuits for top-down control of perceptual grouping. Neural Networks, 151, 190–210. https://doi.org/10.1016/j.neunet.2022.03.029

doi: 10.1016/j.neunet.2022.03.029 pubmed: 35439664

Kubovy, M., Holcombe, A. O., & Wagemans, J. (1998). On the Lawfulness of Grouping by Proximity. Cognitive Psychology, 35(1), 71–98. https://doi.org/10.1006/cogp.1997.0673

doi: 10.1006/cogp.1997.0673 pubmed: 9520318

Lee, M. D., & Wagenmakers, E. J. (2013). Bayesian cognitive modeling: A practical course. https://doi.org/10.1017/CBO9781139087759

doi: 10.1017/CBO9781139087759

Loftus, G. R., & Masson, M. E. J. (1994). Using confidence intervals in within-subject designs. Psychonomic Bulletin & Review, 1(4), 476–490. https://doi.org/10.3758/BF03210951

doi: 10.3758/BF03210951

Luna, D., Villalba-García, C., Montoro, P. R., & Hinojosa, J. A. (2016). Dominance dynamics of competition between intrinsic and extrinsic grouping cues. Acta Psychologica, 170, 146–154. https://doi.org/10.1016/j.actpsy.2016.07.001

doi: 10.1016/j.actpsy.2016.07.001 pubmed: 27423888

Miller, J. (1982). Divided attention: Evidence for coactivation with redundant signals. Cognitive Psychology, 14(2), 247–279. https://doi.org/10.1016/0010-0285(82)90010-X

doi: 10.1016/0010-0285(82)90010-X pubmed: 7083803

Morey, R. D., & Rouder, J. N. (2022). BayesFactor: Computation of Bayes factors for common designs. R package version 0.9.12-4.4. https://cran.r-project.org/web/packages/bayesfactor/index.html

Palmer, S. E., Brooks, J. L., & Nelson, R. (2003). When does grouping happen? Acta Psychologica, 114(3), 311–330. https://doi.org/10.1016/j.actpsy.2003.06.003

doi: 10.1016/j.actpsy.2003.06.003 pubmed: 14670702

Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., ...Lindeløv, J. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods,51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y

Pomerantz, J. R., & Garner, W. R. (1973). Stimules configuration in selective attention tasks. Perception & Psychophysics, 14(3), 565–569. https://doi.org/10.3758/BF03211198

doi: 10.3758/BF03211198

Pomerantz, J. R., & Schwaitzberg, S. D. (1975). Grouping by proximity: Selective attention measures. Perception & Psychophysics, 18(5), 355–361. https://doi.org/10.3758/BF03211212

doi: 10.3758/BF03211212

Quinlan, P. T., & Wilton, R. N. (1998). Grouping by roximity or similarity? Competition between the Gestalt principles in vision. Perception, 27(4), 417–430. https://doi.org/10.1068/p270417

doi: 10.1068/p270417 pubmed: 9797920

R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. https://www.r-project.org/

Raab, D. H. (1962). Statistical facilitation of simple reaction times. Transactions of the New York Academy of Sciences, 24(5), 574–590. https://doi.org/10.1111/j.2164-0947.1962.tb01433.x

doi: 10.1111/j.2164-0947.1962.tb01433.x pubmed: 14489538

Rashal, E., Yeshurun, Y., & Kimchi, R. (2017). The time course of the competition between grouping organizations. Journal of Experimental Psychology: Human Perception and Performance, 43(3), 608–618. https://doi.org/10.1037/xhp0000334

doi: 10.1037/xhp0000334 pubmed: 28240930

Razpurker-Apfeld, I., & Kimchi, R. (2007). The time course of perceptual grouping: The role of segregation and shape formation. Perception & Psychophysics, 69(5), 732–743. https://doi.org/10.3758/BF03193775

doi: 10.3758/BF03193775

Roelfsema, P. (2006). Cortical algorithms for perceptual grouping. Annual Review of Neuroscience, 29, 203–27. https://doi.org/10.1146/annurev.neuro.29.051605.112939

doi: 10.1146/annurev.neuro.29.051605.112939 pubmed: 16776584

Roelfsema, P., & Houtkamp, R. (2011). Incremental grouping of image elements in vision. Attention, Perception & Psychophysics, 73(8), 2542–72. https://doi.org/10.3758/s13414-011-0200-0

doi: 10.3758/s13414-011-0200-0

Sasaki, Y. (2007). Processing local signals into global patterns. Current Opinion in Neurobiology, 17(2), 132–139. https://doi.org/10.1016/j.conb.2007.03.003

doi: 10.1016/j.conb.2007.03.003 pubmed: 17369036

Schmidt, F., & Schmidt, T. (2013). Grouping principles in direct competition. Vision Research, 88, 9–21. https://doi.org/10.1016/j.visres.2013.06.002

doi: 10.1016/j.visres.2013.06.002 pubmed: 23764184

Smith, P., & Little, D. (2018). Small is beautiful: In defense of the small-N design. Psychonomic Bulletin & Review,25,. https://doi.org/10.3758/s13423-018-1451-8

Stan Development Team. (2023). RStan: The R interface to Stan. R package version 2.21.8. Retrieved from https://mc-stan.org/

Sternberg, S. (1969). The discovery of processing stages: Extensions of Donders’ method. Acta Psychologica, 30, 276–315. https://doi.org/10.1016/0001-6918(69)90055-9

doi: 10.1016/0001-6918(69)90055-9

Townsend, J. T. (1971). A note on the identifiability of parallel and serial processes. Perception & Psychophysics, 10(3), 161–163. https://doi.org/10.3758/BF03205778

doi: 10.3758/BF03205778

Townsend, J. T. (1990). Serial vs. parallel processing: Sometimes they look like Tweedledum and Tweedledee but they can (and should) be distinguished. Psychological Science, 1(1), 46–54. https://doi.org/10.1111/j.1467-9280.1990.tb00067.x

doi: 10.1111/j.1467-9280.1990.tb00067.x

Townsend, J. T., & Nozawa, G. (1995). Spatio-temporal properties of elementary perception: An investigation of parallel, serial, and coactive theories. Journal of Mathematical Psychology, 39(4), 321–359. https://doi.org/10.1006/jmps.1995.1033

doi: 10.1006/jmps.1995.1033

Townsend, J. T., & Nozawa, G. (1997). Serial exhaustive models can violate the race model inequality: Implications for architecture and capacity. Psychological Review, 104(3), 595–602. https://doi.org/10.1037/0033-295X.104.3.595

doi: 10.1037/0033-295X.104.3.595

Trick, L. M., & Enns, J. T. (1997). Clusters precede shapes in perceptual organization. Psychological Science, 8(2), 124–129. https://doi.org/10.1111/j.1467-9280.1997.tb00694.x

doi: 10.1111/j.1467-9280.1997.tb00694.x

Ulrich, R., Miller, J., & Schröter, H. (2007). Testing the race model inequality: An algorithm and computer programs. Behavior Research Methods, 39(2), 291–302. https://doi.org/10.3758/BF03193160

doi: 10.3758/BF03193160 pubmed: 17695357

Villalba-García, C., Santaniello, G., Luna, D., Montoro, P., & Hinojosa, J. (2018). Temporal brain dynamics of the competition between proximity and shape similarity grouping cues in vision. Neuropsychologia, 121, 88–97. https://doi.org/10.1016/j.neuropsychologia.2018.10.022

doi: 10.1016/j.neuropsychologia.2018.10.022 pubmed: 30391569

Vorberg, D., & Ulrich, R. (1987). Random search with unequal search rates: Serial and parallel generalizations of McGill’s model. Journal of Mathematical Psychology, 31(1), 1–23. https://doi.org/10.1016/0022-2496(87)90033-2

Wagemans, J., Elder, J. H., Kubovy, M., Palmer, S. E., Peterson, M. A., Singh, M., & von der Heydt, R. (2012). A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure-ground organization. Psychological Bulletin, 138(6), 1172–1217. https://doi.org/10.1037/a0029333

doi: 10.1037/a0029333 pubmed: 22845751 pmcid: 3482144

Wannig, A., Stanisor, L., & Roelfsema, P. R. (2011). Automatic spread of attentional response modulation along Gestalt criteria in primary visual cortex. Nature Neuroscience, 14(10), 1243–1244. https://doi.org/10.1038/nn.2910

doi: 10.1038/nn.2910 pubmed: 21926984

Wenger, M. J., & Townsend, J. T. (2000). Basic response time tools for studying general processing capacity in attention, perception, and cognition. The Journal of General Psychology, 127(1), 67–99. https://doi.org/10.1080/00221300009598571

doi: 10.1080/00221300009598571 pubmed: 10695952

Wertheimer, M. (1923). Untersuchungen zur Lehre von der Gestalt II. Psychologische Forschung, 4(3), 301–350. https://doi.org/10.3758/BF03193160

doi: 10.3758/BF03193160

Yu, D., Xiao, X., Bemis, D., & Franconeri, S. (2019). Similarity grouping as feature-based selection. Psychological Science, 30(3), 376–385. https://doi.org/10.1177/0956797618822798

doi: 10.1177/0956797618822798 pubmed: 30699047

Zucker, S. W., Stevens, K. A., & Sander, P. (1983). The relation between proximity and brightness similarity in dot patterns. Perception & Psychophysics, 34(6), 513–522. https://doi.org/10.3758/BF03205904