Task-based memory systems in contextual-cueing of visual search and explicit recognition

Visual search is facilitated when observers encounter targets in repeated display arrangements. This ‘contextual-cueing’ (CC) effect is attributed to incidental learning of spatial distractor-target relations. Prior work has typically used only one recognition measure (administered after the search task) to establish whether CC is based on implicit or explicit memory of repeated displays, with the outcome depending on the diagnostic accuracy of the test. The present study compared two explicit memory tests to tackle this issue: yes/no recognition of a given search display as repeated versus generation of the quadrant in which the target (which was replaced by a distractor) had been located during the search task, thus closely matching the processes involved in performing the search. While repeated displays elicited a CC effect in the search task, both tests revealed above-chance knowledge of repeated displays, though explicit-memory accuracy and its correlation with contextual facilitation in the search task were more pronounced for the generation task. These findings argue in favor of a one-system, explicit-memory account of CC. Further, they demonstrate the superiority of the generation task for revealing the explicitness of CC, likely because both the search and the memory task involve overlapping processes (in line with ‘transfer-appropriate processing’).

[1]  Jeffrey N. Rouder,et al.  Computation of Bayes Factors for Common Designs , 2015 .

[2]  Nao Ninomiya,et al.  The 10th anniversary of journal of visualization , 2007, J. Vis..

[3]  Andrew Hollingworth,et al.  Journal of Experimental Psychology : Human Perception and Performance The Nesting of Search Contexts Within Natural Scenes : Evidence From Contextual Cuing , 2010 .

[4]  Thomas Geyer,et al.  Contextual cueing of pop-out visual search: when context guides the deployment of attention. , 2010, Journal of vision.

[5]  Thomas Geyer,et al.  Positional priming of pop-out: a relational-encoding account. , 2010, Journal of vision.

[6]  Thomas Geyer,et al.  Predictive visual search: Role of environmental regularities in the learning of context cues , 2018, Attention, Perception, & Psychophysics.

[7]  W. Ma,et al.  Factorial comparison of working memory models. , 2014, Psychological review.

[8]  M. Moscovitch,et al.  The parietal cortex and episodic memory: an attentional account , 2008, Nature Reviews Neuroscience.

[9]  Miguel A. Vadillo,et al.  Underpowered samples, false negatives, and unconscious learning , 2015, Psychonomic bulletin & review.

[10]  David Wright,et al.  Consolidating behavioral and neurophysiologic findings to explain the influence of contextual interference during motor sequence learning , 2016, Psychonomic bulletin & review.

[11]  J. Wolfe,et al.  Seek and you shall remember: scene semantics interact with visual search to build better memories. , 2014, Journal of vision.

[12]  S. Thorpe,et al.  Investigating implicit statistical learning mechanisms through contextual cueing , 2015, Trends in Cognitive Sciences.

[13]  Thomas Geyer,et al.  Sleep-Effects on Implicit and Explicit Memory in Repeated Visual Search , 2013, PloS one.

[14]  A. Lleras,et al.  Spatial context and top-down strategies in visual search. , 2004, Spatial vision.

[15]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[16]  Eelke Spaak,et al.  Hippocampal and Prefrontal Theta-Band Mechanisms Underpin Implicit Spatial Context Learning , 2019, The Journal of Neuroscience.

[17]  J. Wolfe,et al.  Five factors that guide attention in visual search , 2017, Nature Human Behaviour.

[18]  Thomas Geyer,et al.  Behavioural evidence for a single memory system in contextual cueing , 2019, Visual Cognition.

[19]  H L Roediger,et al.  Implicit memory. Retention without remembering. , 1990, The American psychologist.

[20]  S. Fleming,et al.  Explicit representation of confidence informs future value-based decisions , 2016, Nature Human Behaviour.

[21]  Kerry Hourigan,et al.  Wake transition of a rolling sphere , 2011, J. Vis..

[22]  Ben Colagiuri,et al.  Contextual cuing as a form of nonconscious learning: Theoretical and empirical analysis in large and very large samples , 2016, Psychonomic bulletin & review.

[23]  Miguel A. Vadillo,et al.  Pre-exposure of repeated search configurations facilitates subsequent contextual cuing of visual search. , 2015, Journal of experimental psychology. Learning, memory, and cognition.

[24]  D. Shanks,et al.  Characteristics of dissociable human learning systems , 1994, Behavioral and Brain Sciences.

[25]  M. Chun,et al.  Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial Attention , 1998, Cognitive Psychology.

[26]  Simon Lovell,et al.  Phosphorylation of the Leukemic Oncoprotein EVI1 on Serine 196 Modulates DNA Binding, Transcriptional Repression and Transforming Ability , 2013, PloS one.

[27]  H. Akaike A new look at the statistical model identification , 1974 .

[28]  S. Pollmann,et al.  Contextual cueing impairment in patients with age-related macular degeneration. , 2013, Journal of vision.

[29]  Takatsune Kumada,et al.  The encoding process of nonconfigural information in contextual cuing , 2008, Perception & psychophysics.

[30]  M. Chun,et al.  Implicit, long-term spatial contextual memory. , 2003, Journal of experimental psychology. Learning, memory, and cognition.

[31]  Masaaki Kawahashi,et al.  Renovation of Journal of Visualization , 2010, J. Vis..

[32]  K. Henke A model for memory systems based on processing modes rather than consciousness , 2010, Nature Reviews Neuroscience.

[33]  Timothy F. Brady,et al.  Spatial constraints on learning in visual search: modeling contextual cuing. , 2007, Journal of experimental psychology. Human perception and performance.

[34]  Zhuanghua Shi,et al.  Transfer of contextual cueing in full-icon display remapping. , 2013, Journal of vision.

[35]  Hermann J. Müller,et al.  Distributed attention beats the down-side of statistical context learning in visual search , 2020, Journal of Vision.

[36]  Zhuanghua Shi,et al.  Invariant spatial context is learned but not retrieved in gaze-contingent tunnel-view search. , 2015, Journal of experimental psychology. Learning, memory, and cognition.

[37]  Katsumi Watanabe,et al.  Implicit learning increases preference for predictive visual display , 2011, Attention, perception & psychophysics.

[38]  David R Shanks,et al.  Awareness in contextual cuing with extended and concurrent explicit tests , 2008, Memory & cognition.

[39]  Ken A Paller,et al.  What makes recognition without awareness appear to be elusive? Strategic factors that influence the accuracy of guesses. , 2010, Learning & memory.

[40]  Peng Cheng,et al.  An image-processing based method for the measurement of the film thickness of a swirl atomizer , 2017, J. Vis..

[41]  M. Chun,et al.  Perceptual constraints on implicit learning of spatial context , 2002 .

[42]  Henry L. Roediger,et al.  Retention Without Remembering , 2001 .

[43]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[44]  Xuelian Zang,et al.  Recognition of incidentally learned visual search arrays is supported by fixational eye movements. , 2019, Journal of experimental psychology. Learning, memory, and cognition.

[45]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[46]  Hirokazu Ogawa,et al.  Time to Learn: Evidence for Two Types of Attentional Guidance in Contextual Cueing , 2010, Perception.