Learning to suppress a distractor is not affected by working memory load

被引:39
|
作者
Gao, Ya [1 ,2 ]
Theeuwes, Jan [1 ,2 ]
机构
[1] Vrije Univ Amsterdam, Dept Expt & Appl Psychol, Van der Boechorststr 7, NL-1081 BT Amsterdam, Netherlands
[2] iBBA, Amsterdam, Netherlands
关键词
Attentional capture; Visual search; Working memory; Statistical regularities; TOP-DOWN; SELECTIVE ATTENTION; VISUAL-SEARCH; MIND; INTERFERENCE; REGULARITIES; INHIBITION;
D O I
10.3758/s13423-019-01679-6
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Where and what we attend to is not only determined by our current goals but also by what we have encountered in the past. Recent studies have shown that people learn to extract statistical regularities in the environment resulting in attentional suppression of high-probability distractor locations, effectively reducing capture by a distractor. Here, we asked whether this statistical learning is dependent on working memory resources. The additional singleton task in which one location was more likely to contain a distractor was combined with a concurrent visual working memory task (Experiment 1) and a spatial working memory task (Experiment 2). The result showed that learning to suppress this high-probability location was not at all affected by working memory load. We conclude that learning to suppress a location is an implicit and automatic process that does not rely on visual or spatial working memory capacity, nor on executive control resources. We speculate that extracting regularities from the environment likely relies on long-term memory processes.
引用
收藏
页码:96 / 104
页数:9
相关论文
共 50 条
  • [31] VISUAL WORKING MEMORY LOAD AND CAPACITY DEPENDENT PROCESSING OF TASK AND DISTRACTOR ITEMS IN A FRONTAL-PARIETAL-HIPPOCAMPAL NETWORK
    Klaver, Peter
    PSYCHOPHYSIOLOGY, 2015, 52 : S9 - S9
  • [32] Attentional distractor interference may be diminished by concurrent working memory load in normal participants and traumatic brain injury patients
    Gil-Gomez de Liano, Beatriz
    Umilta, Carlo
    Stablum, Franca
    Tebaldi, Francesca
    Cantagallo, Anna
    BRAIN AND COGNITION, 2010, 74 (03) : 298 - 305
  • [33] LEARNING AND MEMORY Working out working memory
    Bray, Natasha
    NATURE REVIEWS NEUROSCIENCE, 2017, 18 (02) : 68 - 69
  • [34] Spatial Context Learning Survives Interference From Working Memory Load
    Vickery, Timothy J.
    Sussman, Rachel S.
    Jiang, Yuhong V.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2010, 36 (06) : 1358 - 1371
  • [35] Working memory load recognition with deep learning time series classification
    Pang, Richong
    Sang, Haojun
    Yi, Li
    Gao, Chenyang
    Xu, Hongkai
    Wei, Yanzhao
    Zhang, Lei
    Sun, Jinyan
    BIOMEDICAL OPTICS EXPRESS, 2024, 15 (05): : 2780 - 2797
  • [36] Cognitive Load and Working Memory in Multimedia Learning: Conceptual and Measurement Issues
    Anmarkrud, Oistein
    Andresen, Anette
    Braten, Ivar
    EDUCATIONAL PSYCHOLOGIST, 2019, 54 (02) : 61 - 83
  • [37] Working memory load in the initial learning phase facilitates relearning: A study of vocabulary learning
    Sasaki, Takashi
    PERCEPTUAL AND MOTOR SKILLS, 2008, 106 (01) : 317 - 327
  • [39] Visual Working Memory Impairs Visual Detection: A Function of Working Memory Load or Sensory Load?
    Guo, Yang
    Liang, Jiawen
    Yao, Nailang
    Shen, Mowei
    Gao, Zaifeng
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2021, 47 (12) : 1659 - 1672
  • [40] Cognitive-Load Theory: Methods to Manage Working Memory Load in the Learning of Complex Tasks
    Paas, Fred
    van Merrienboer, Jeroen J. G.
    CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2020, 29 (04) : 394 - 398