Low cognitive load strengthens distractor interference while high load attenuates when cognitive load and distractor possess similar visual characteristics

Studies on visual cognitive load have reported inconsistent effects of distractor interference when distractors have visual characteristic that are similar to the cognitive load. Some studies have shown that the cognitive load enhances distractor interference, while others reported an attenuating effect. We attribute these inconsistencies to the amount of cognitive load that a person is required to maintain. Lower amounts of cognitive load increase distractor interference by orienting attention toward visually similar distractors. Higher amounts of cognitive load attenuate distractor interference by depleting attentional resources needed to process distractors. In the present study, cognitive load consisted of faces (Experiments 1–3) or scenes (Experiment 2). Participants performed a selective attention task in which they ignored face distractors while judging a color of a target dot presented nearby, under differing amounts of load. Across these experiments distractor interference was greater in the low-load condition and smaller in the high-load condition when the content of the cognitive load had similar visual characteristic to the distractors. We also found that when a series of judgments needed to be made, the effect was apparent for the first trial but not for the second. We further tested an involvement of working memory capacity (WMC) in the load effect (Experiment 3). Interestingly, both high and low WMC groups received an equivalent effect of the cognitive load in the first distractor, suggesting these effects are fairly automatic.

[1]  P. Lang International affective picture system (IAPS) : affective ratings of pictures and instruction manual , 2005 .

[2]  M. Osaka,et al.  Incidental encoding of goal irrelevant information is associated with insufficient engagement of the dorsal frontal cortex and the inferior parietal cortex , 2012, Brain Research.

[3]  Philip A. Kragel,et al.  Regional brain differences in the effect of distraction during the delay interval of a working memory task , 2007, Brain Research.

[4]  Triesch Jochen Object perception is selectively slowed by a visually similar working memory load , 2008 .

[5]  J. Theeuwes,et al.  Feature-based memory-driven attentional capture: visual working memory content affects visual attention. , 2006, Journal of experimental psychology. Human perception and performance.

[6]  Olivia S. Cheung,et al.  Selective interference on the holistic processing of faces in working memory. , 2010, Journal of experimental psychology. Human perception and performance.

[7]  M. Osaka,et al.  Individual differences in working memory capacity and distractor processing: Possible contribution of top–down inhibitory control , 2010, Brain Research.

[8]  R. Engle,et al.  The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective , 2002, Psychonomic bulletin & review.

[9]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .

[10]  C. Frith,et al.  The Role of Working Memory in Visual Selective Attention , 2001, Science.

[11]  Iain D Gilchrist,et al.  Oculomotor capture by transient events: a comparison of abrupt onsets, offsets, motion, and flicker. , 2008, Journal of vision.

[12]  A. Anastasi Individual differences. , 2020, Annual review of psychology.

[13]  J. Theeuwes,et al.  Attentional control during visual search: the effect of irrelevant singletons. , 1998, Journal of experimental psychology. Human perception and performance.

[14]  G. Humphreys,et al.  Stressing the mind: The effect of cognitive load and articulatory suppression on attentional guidance from working memory , 2008, Perception & psychophysics.

[15]  R. K. Abolfazlian,et al.  The Cocktail Party Listener , 1994 .

[16]  C. Tredoux,et al.  Recognition and context memory for faces from own and other ethnic groups: A remember-know investigation , 2010, Memory & cognition.

[17]  Michael F. Bunting,et al.  The cocktail party phenomenon revisited: The importance of working memory capacity , 2001, Psychonomic bulletin & review.

[18]  Marvin M Chun,et al.  Concurrent working memory load can reduce distraction. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[19]  Richard P. Heitz,et al.  Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage , 2009, Memory.

[20]  R. Engle,et al.  The nature of individual differences in working memory capacity: active maintenance in primary memory and controlled search from secondary memory. , 2007, Psychological review.

[21]  Josef C. Schrock,et al.  Working memory capacity and the antisaccade task: individual differences in voluntary saccade control. , 2004, Journal of experimental psychology. Learning, memory, and cognition.

[22]  T. Klingberg,et al.  Prefrontal cortex and basal ganglia control access to working memory , 2008, Nature Neuroscience.

[23]  P. Carpenter,et al.  Individual differences in working memory and reading , 1980 .

[24]  Amishi P. Jha,et al.  The role of prefrontal cortex in resolving distractor interference , 2004, Cognitive, affective & behavioral neuroscience.

[25]  Maro G. Machizawa,et al.  Neural measures reveal individual differences in controlling access to working memory , 2005, Nature.

[26]  T. Eliot The Cocktail Party , 1980 .

[27]  Matthew P. Gerrie,et al.  Individual differences in working memory capacity and visual search: The roles of top-down and bottom-up processing , 2007, Psychonomic bulletin & review.

[28]  M. Chun,et al.  Concurrent working memory load can facilitate selective attention: evidence for specialized load. , 2007, Journal of experimental psychology. Human perception and performance.

[29]  G. Humphreys,et al.  Automatic guidance of attention from working memory , 2008, Trends in Cognitive Sciences.

[30]  J. Theeuwes,et al.  Faces capture attention: Evidence from inhibition of return , 2006 .

[31]  P. Cavanagh,et al.  The Capacity of Visual Short-Term Memory is Set Both by Visual Information Load and by Number of Objects , 2004, Psychological science.

[32]  E. Viding,et al.  Load theory of selective attention and cognitive control. , 2004, Journal of experimental psychology. General.

[33]  David Soto,et al.  Automatic guidance of visual attention from verbal working memory. , 2007, Journal of experimental psychology. Human perception and performance.

[34]  R. Engle,et al.  Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. , 2003, Journal of experimental psychology. General.

[35]  M. Just,et al.  From the SelectedWorks of Marcel Adam Just 1992 A capacity theory of comprehension : Individual differences in working memory , 2017 .

[36]  Richard P. Heitz,et al.  An automated version of the operation span task , 2005, Behavior research methods.

[37]  Wen Gao,et al.  The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[38]  R. Malpass,et al.  Recognition for faces of own and other race. , 1969, Journal of personality and social psychology.

[39]  R. Engle,et al.  Is working memory capacity task dependent , 1989 .