Skip to main content
Log in

How does implicit learning of search regularities alter the manner in which you search?

  • Original Article
  • Published:
Psychological Research Aims and scope Submit manuscript

Abstract

Individuals are highly sensitive to statistical regularities in their visual environment, even when these patterns do not reach conscious awareness. Here, we examine whether oculomotor behavior is systematically altered when distractor/target configurations rarely repeat, but target location on an initial trial predicts the location of a target on the subsequent trial. The purpose of the current study was to explore whether this temporal-spatial contextual cueing in a conjunction search task influences both reaction time to the target and participant’s search strategy. Participants searched for a target through a gaze-contingent window in a display consisting of a large number of distractors, providing a target-present/absent response. Participants were faster to respond to the target on the predicted trial relative to the predictor trial in an implicit contextual cueing task but were no more likely to fixate first to the target quadrant on the predicted trial (Experiment 1). Furthermore, implicit learning was interrupted when instructing participants to vary their searching strategy across trials to eliminate visual scan similarity (Experiment 2). In Experiment 3, when participants were explicitly informed that a pattern was present at the start of the experiment, explicit learning was observed in both reaction time and eye movements. The present experiments provide evidence that implicit learning of sequential regularities regarding target locations is not based on learning more efficient scan paths, but is due to some other mechanism.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Notes

  1. Each of the additional analyses reported here were conducted for Experiment 2 and Experiment 3. We only included these analyses in Experiment 1, as this experiment was the only experiment demonstrating implicit learning, though the results across all three experiments ruled out the proposed alternative explanations of the results.

References

  • Antes, J. R. (1974). The time course of picture viewing. Journal of Experimental Psychology, 103, 62–70.

    Article  PubMed  Google Scholar 

  • Becker, S. I., & Horstmann, G. (2009). A feature-weighting account of priming in conjunction search. Attention, Perception, and Psychophysics, 71, 258–272.

    Article  Google Scholar 

  • Biederman, I. (1972). Perceiving real-world scenes. Science, 177, 77–80.

    Article  PubMed  Google Scholar 

  • Carrasco, M., McLean, T. L., Katz, S. M., & Frieder, K. S. (1998). Feature asymmetries in visual search: effects of display duration, target eccentricity, orientation and spatial frequency. Vision Research, 38(3), 347–374.

    Article  PubMed  Google Scholar 

  • Castelhano, M. S., & Henderson, J. M. (2007). Initial scene representations facilitate eye movement guidance in visual search. Journal of Experimental Psychology: Human Perception and Performance, 33, 753–763.

    PubMed  Google Scholar 

  • Chun, M. M., & Jiang, Y. (1998). Contextual cueing: implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36(1), 28–71.

    Article  PubMed  Google Scholar 

  • D’Zmura, M. (1991). Color in visual search. Vision Research, 31, 951–966.

    Article  PubMed  Google Scholar 

  • Dick, M., Ullman, S., & Sagi, D. (1987). Parallel and serial processes in motion detection. Science, 237, 400–402.

    Article  PubMed  Google Scholar 

  • Dodd, M. D., Van der Stigchel, S., & Hollingworth, A. (2009). Novelty is not always the best policy: inhibition of return and facilitation of return as a function of visual task. Psychological Science, 20, 333–339.

    Article  PubMed  Google Scholar 

  • Druker, M., & Anderson, B. (2010). Spatial probability aids visual stimulus discrimination. Frontiers in Human Neuroscience, 4(63), 1–10.

    Google Scholar 

  • Fiser, J., & Aslin, R. N. (2002). Statistical learning of higher-order temporal structure from visual shape sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(3), 458–467.

    PubMed  Google Scholar 

  • Foster, D. H., & Ward, P. A. (1991). Asymmetries in oriented-line detection indicate two orthogonal filters in early vision. Proceedings of the Royal Society of London B, 243, 75–81.

    Article  Google Scholar 

  • Frensch, P. A., Buchner, A., & Lin, J. (1994). Implicit learning of unique and ambiguous serial transitions in the presence and absence of a distractor task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 567–584.

    Google Scholar 

  • Frensch, P. A., Lin, J., & Buchner, A. (1998). Learning vs. behavioral expression of the learned: The effects of a secondary tone-counting task on implicit learning in the Serial Reaction Task. Psychological Research, 61, 83–98.

    Google Scholar 

  • Frensch, P. A., & Miner, C. S. (1994). Individual differences in short-term memory capacity on an indirect measure of serial learning. Memory and Cognition, 22, 95–110.

    Article  PubMed  Google Scholar 

  • Geng, J. J., & Behrmann, M. (2005). Spatial probability as an attentional cue in visual search. Perception and Psychophysics, 67(7), 1252–1268.

    Article  PubMed  Google Scholar 

  • Jiang, Y. V., Swallow, K. M., & Rosenbaum, G. M. (2013a). Guidance of spatial attention by incidental learning and endogenous cuing. Journal of Experimental Psychology: Human Perception and Performance, 39, 285–297.

    PubMed Central  PubMed  Google Scholar 

  • Jiang, Y. V., Swallow, K. M., Rosenbaum, G. M., & Herzig, C. (2013b). Rapid acquisition but slow extinction of an attentional bias in space. Journal of Experimental Psychology: Human Perception and Performance, 39, 87–99.

    PubMed Central  PubMed  Google Scholar 

  • Kabata, T., & Matsumoto, E. (2012). Cueing effects of target location probability and repetition. Vision Research, 73, 23–29.

    Article  PubMed  Google Scholar 

  • Kristjansson, A., Wang, D., & Nakayama, K. (2002). The role of priming in conjunctive visual search. Cognition, 85, 37–52.

    Article  PubMed  Google Scholar 

  • Kunar, M. A., Flusberg, S. J., Horowitz, T. S., & Wolfe, J. M. (2007). Does contextual cuing guide the deployment of attention. Journal of Experimental Psychology: Human Perception and Performance, 33(4), 816–828.

    PubMed Central  PubMed  Google Scholar 

  • Malcolm, G. L., & Henderson, J. M. (2010). Combining top-down processes to guide eye movements during real-world scene search. Journal of Vision, 10(2), 1–11.

    Article  PubMed  Google Scholar 

  • McLeod, P., Driver, J., & Crisp, J. (1988). Visual search for conjunctions of movement and form is parallel. Nature, 332, 154–155.

    Article  PubMed  Google Scholar 

  • Moraglia, G. (1989). Visual search: spatial frequency and orientation. Perceptual and Motor Skills, 69, 675–689.

    Article  PubMed  Google Scholar 

  • Myers, C. W., & Gray, W. D. (2010). Visual scan adaptation during repeated visual search. Journal of Vision, 10(8), 1–14.

    Article  Google Scholar 

  • Peterson, M. S., & Kramer, A. F. (2001). Attentional guidance of the eyes by contextual information and abrupt onsets. Perception and Psychophysics, 63(7), 1239–1249.

    Article  PubMed  Google Scholar 

  • Rosenholtz, R. (2001). Search asymmetries? What search asymmetries? Perception and Psychophysics, 63, 476–489.

    Article  PubMed  Google Scholar 

  • Saffran, J. R. (2002). Constraints on statistical language learning. Journal of Memory and Language, 47, 172–196.

    Article  Google Scholar 

  • Smith, T. J., & Henderson, J. M. (2009). Facilitation of return during scene viewing. Visual Cognition, 17, 1083–1108.

    Article  Google Scholar 

  • Stadler, M. A. (1989). On learning complex procedural knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 1061–1069.

    PubMed  Google Scholar 

  • Theeuwes, J. (1992). Perceptual selectivity for color and form. Perception and Psychophysics, 51(6), 599–606.

    Article  PubMed  Google Scholar 

  • Theeuwes, J. (1994). Stimulus-driven capture and attentional set: selective search for color and visual abrupt onsets. Journal of Experimental Psychology: Human Perception and Performance, 20(4), 799–806.

    PubMed  Google Scholar 

  • Tseng, Y. C., & Li, C. S. (2004). Oculomotor correlates of context-guided learning in visual search. Perception and Psychophysics, 66(8), 1363–1378.

    Article  PubMed  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, 1–7.

    Article  Google Scholar 

  • Zhao, G., Liu, Q., Zhou, P. L., Jiao, J., Li, H., & Sun, H. J. (2012). Dual-state modulation of the contextual cueing effect: evidence from eye movements during task-relevant observation. Journal of Vision, 12(6), 1–13.

    Article  Google Scholar 

  • Ziessler, M. (1994). The impact of motor responses on serial pattern learning. Psychological Research, 57, 30–41.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gerald P. McDonnell.

Rights and permissions

Reprints and permissions

About this article

Cite this article

McDonnell, G.P., Mills, M., McCuller, L. et al. How does implicit learning of search regularities alter the manner in which you search?. Psychological Research 79, 183–193 (2015). https://doi.org/10.1007/s00426-014-0546-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00426-014-0546-8

Keywords

Navigation