No evidence for spatial suppression due to across-trial distractor learning in visual search

被引:4
|
作者
Li, Ai-Su [1 ,2 ]
Bogaerts, Louisa [1 ,2 ,3 ]
Theeuwes, Jan [1 ,2 ,4 ]
机构
[1] Vrije Univ Amsterdam, Dept Expt & Appl Psychol, Boechorststr 7-9, NL-1081 BT Amsterdam, Netherlands
[2] Inst Brain & Behav Amsterdam, Amsterdam, Netherlands
[3] Univ Ghent, Dept Expt Psychol, Ghent, Belgium
[4] ISPA Inst Univ, William James Ctr Res, Lisbon, Portugal
基金
欧洲研究理事会;
关键词
Across-trial regularities; Statistical learning; Spatial suppression; Sequence learning; Visual search; TOP-DOWN; STATISTICAL REGULARITIES; ATTENTIONAL CONTROL; REPRESENTATION; LOCATION;
D O I
10.3758/s13414-023-02667-8
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Previous studies have shown that during visual search, participants are able to implicitly learn across-trial regularities regarding target locations and use these to improve search performance. The present study asks whether such across-trial visual statistical learning also extends to the location of salient distractors. In Experiments 1 and 2, distractor regularities were paired so that a specific distractor location was 100% predictive of another specific distractor location on the next trial. Unlike previous findings that employed target regularities, the current results show no difference in search times between predictable and unpredictable trials. In Experiments 3-5 the distractor location was presented in a structured order (a sequence) for one group of participants, while it was presented randomly for the other group. Again, there was no learning effect of the across-trial regularities regarding the salient distractor locations. Across five experiments, we demonstrated that participants were unable to exploit across-trial spatial regularities regarding the salient distractors. These findings point to important boundary conditions for the modulation of visual attention by statistical regularities and they highlight the need to differentiate between different types of statistical regularities.
引用
收藏
页码:1088 / 1105
页数:18
相关论文
共 50 条
  • [31] Electrophysiological evidence of low salience distractor interference during visual search
    Fortier-Gauthier, Ulysse
    Jolicoeur, Pierre
    PSYCHOPHYSIOLOGY, 2018, 55 (07)
  • [32] Statistical learning of distractor co-occurrences facilitates visual search
    Thorat, Sushrut
    Quek, Genevieve L.
    Peelen, Marius, V
    JOURNAL OF VISION, 2022, 22 (10):
  • [33] AGE-DIFFERENCES IN VISUAL-SEARCH - TARGET AND DISTRACTOR LEARNING
    ROGERS, WA
    PSYCHOLOGY AND AGING, 1992, 7 (04) : 526 - 535
  • [34] Drawn to Distraction: Anxiety Impairs Neural Suppression of Known Distractor Features in Visual Search
    Salahub, Christine
    Emrich, Stephen M.
    JOURNAL OF COGNITIVE NEUROSCIENCE, 2021, 33 (08) : 1504 - 1516
  • [35] Learning spatial configurations in visual search
    Chun, MM
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 1997, 38 (04) : 1728 - 1728
  • [36] Efficient visual search for multiple targets among categorical distractors: Effects of distractor-distractor similarity across trials
    Ohkita, Midori
    Obayashi, Yoshie
    Jitsumori, Masako
    VISION RESEARCH, 2014, 96 : 96 - 105
  • [37] Preparatory activity in visual cortex indexes distractor suppression during covert spatial orienting
    Serences, JT
    Yantis, S
    Culberson, A
    Awh, E
    JOURNAL OF NEUROPHYSIOLOGY, 2004, 92 (06) : 3538 - 3545
  • [38] Orientation search is mediated by distractor suppression: Evidence from priming of pop-out
    Lamy, Dominique
    Yashar, Amit
    Ruderman, Lital
    VISION RESEARCH, 2013, 81 : 29 - 35
  • [39] Spatially Guided Distractor Suppression during Visual Search (vol 41, pg 3180, 2021)
    Feldmann-Wustefeld, Tobias
    Weinberger, Marina
    Awh, Edward
    JOURNAL OF NEUROSCIENCE, 2021, 41 (31): : 6794 - 6794
  • [40] Statistical Learning of Distractor Suppression Downregulates Prestimulus Neural Excitability in Early Visual Cortex
    Ferrante, Oscar
    Zhigalov, Alexander
    Hickey, Clayton
    Jensen, Ole
    JOURNAL OF NEUROSCIENCE, 2023, 43 (12): : 2190 - 2198