Literature DB >> 33278355

When Natural Behavior Engages Working Memory.

Dejan Draschkow1, Melvin Kallmayer2, Anna C Nobre3.   

Abstract

Working memory (WM) enables temporary storage and manipulation of information,1 supporting tasks that require bridging between perception and subsequent behavior. Its properties, such as its capacity, have been thoroughly investigated in highly controlled laboratory tasks.1-8 Much less is known about the utilization and properties of WM in natural behavior,9-11 when reliance on WM emerges as a natural consequence of interactions with the environment. We measured the trade-off between reliance on WM and gathering information externally during immersive behavior in an adapted object-copying task.12 By manipulating the locomotive demands required for task completion, we could investigate whether and how WM utilization changed as gathering information from the environment became more effortful. Reliance on WM was lower than WM capacity measures in typical laboratory tasks. A clear trade-off also occurred. As sampling information from the environment required increasing locomotion and time investment, participants relied more on their WM representations. This reliance on WM increased in a shallow and linear fashion and was associated with longer encoding durations. Participants' avoidance of WM usage showcases a fundamental dependence on external information during ecological behavior, even if the potentially storable information is well within the capacity of the cognitive system. These foundational findings highlight the importance of using immersive tasks to understand how cognitive processes unfold within natural behavior. Our novel VR approach effectively combines the ecological validity, experimental rigor, and sensitive measures required to investigate the interplay between memory and perception in immersive behavior. VIDEO ABSTRACT.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 33278355      PMCID: PMC7902904          DOI: 10.1016/j.cub.2020.11.013

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  63 in total

1.  Neural measures reveal individual differences in controlling access to working memory.

Authors:  Edward K Vogel; Andrew W McCollough; Maro G Machizawa
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

Review 2.  Vision and the representation of the surroundings in spatial memory.

Authors:  Benjamin W Tatler; Michael F Land
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-02-27       Impact factor: 6.237

3.  The capacity of visual working memory for features and conjunctions.

Authors:  S J Luck; E K Vogel
Journal:  Nature       Date:  1997-11-20       Impact factor: 49.962

4.  Search superiority: Goal-directed attentional allocation creates more reliable incidental identity and location memory than explicit encoding in naturalistic virtual environments.

Authors:  Jason Helbing; Dejan Draschkow; Melissa L-H Võ
Journal:  Cognition       Date:  2020-01-28

5.  Visual search has no memory.

Authors:  T S Horowitz; J M Wolfe
Journal:  Nature       Date:  1998-08-06       Impact factor: 49.962

6.  An assessment of fixed-capacity models of visual working memory.

Authors:  Jeffrey N Rouder; Richard D Morey; Nelson Cowan; Christopher E Zwilling; Candice C Morey; Michael S Pratte
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-17       Impact factor: 11.205

7.  Evidence for the world as an external memory: A trade-off between internal and external visual memory storage.

Authors:  Rosyl S Somai; Martijn J Schut; Stefan Van der Stigchel
Journal:  Cortex       Date:  2019-01-03       Impact factor: 4.027

Review 8.  Understanding Image Memorability.

Authors:  Nicole C Rust; Vahid Mehrpour
Journal:  Trends Cogn Sci       Date:  2020-05-05       Impact factor: 20.229

9.  Cognitive cost as dynamic allocation of energetic resources.

Authors:  S Thomas Christie; Paul Schrater
Journal:  Front Neurosci       Date:  2015-08-24       Impact factor: 4.677

10.  Memory shapes visual search strategies in large-scale environments.

Authors:  Chia-Ling Li; M Pilar Aivar; Matthew H Tong; Mary M Hayhoe
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

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  7 in total

Review 1.  Priming of probabilistic attentional templates.

Authors:  Árni Kristjánsson
Journal:  Psychon Bull Rev       Date:  2022-07-13

2.  Adapting the coordination of eyes and head to differences in task and environment during fully-mobile visual exploration.

Authors:  John M Franchak; Brianna McGee; Gabrielle Blanch
Journal:  PLoS One       Date:  2021-08-20       Impact factor: 3.240

3.  vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platform.

Authors:  Immo Schuetz; Harun Karimpur; Katja Fiehler
Journal:  Behav Res Methods       Date:  2022-03-23

Review 4.  How context changes the neural basis of perception and language.

Authors:  Roel M Willems; Marius V Peelen
Journal:  iScience       Date:  2021-04-02

5.  Dynamic in-flight shifts of working memory resources across saccades.

Authors:  Rob Udale; Moc Tram Tran; Sanjay Manohar; Masud Husain
Journal:  J Exp Psychol Hum Percept Perform       Date:  2022-01       Impact factor: 3.077

6.  Gaze dynamics are sensitive to target orienting for working memory encoding in virtual reality.

Authors:  Candace E Peacock; Ting Zhang; Brendan David-John; T Scott Murdison; Matthew J Boring; Hrvoje Benko; Tanya R Jonker
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

7.  Multiple spatial frames for immersive working memory.

Authors:  Dejan Draschkow; Anna C Nobre; Freek van Ede
Journal:  Nat Hum Behav       Date:  2022-01-20
  7 in total

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