Literature DB >> 11054930

The strategic control of gaze direction in the Tower-of-London task.

T L Hodgson1, A Bajwa, A M Owen, C Kennard.   

Abstract

In this paper, we describe a novel approach to the study of problem solving involving the detailed analysis of natural scanning eye movements during the "one-touch" Tower-of-London (TOL) task. We showed subjects a series of pictures depicting two arrangements of colored balls in pockets within the upper and lower halves of a computer display. The task was to plan (but not to execute) the shortest movement sequence required to rearrange the balls in one half of the display (the Workspace) to match the arrangement in the opposite half (the Goalspace) and indicate the minimum number of moves required for problem solution. We report that subjects are more likely to look towards the Goalspace in the initial period after picture presentation, but bias gaze towards the Workspace during the middle of trials. Towards the end of a trial, subjects are once again more likely to fixate the Goalspace. This pattern is found regardless of whether the subjects solve problems by rearranging the balls in the lower or upper visual fields, demonstrating that this strategy correlates with discrete phases in problem solving. A second experiment showed that efficient planners direct their gaze selectively towards the problem critical balls in the Workspace. In contrast, individuals who make errors spend more time looking at irrelevant items and are strongly influenced by the movement strategy needed to solve the preceding problem. We conclude that efficient solution of the TOL requires the capacity to generate and flexibly shift between control sets, including those underlying ocular scanning. The role of working memory and the prefrontal cerebral cortex in the task are discussed.

Mesh:

Year:  2000        PMID: 11054930     DOI: 10.1162/089892900562499

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  15 in total

1.  Longer Fixation Times During Reading Are Correlated With Decreased Connectivity in Cognitive-Control Brain Regions During Rest in Children.

Authors:  Tzipi Horowitz-Kraus; Christopher DiCesare; Adam W Kiefer
Journal:  Mind Brain Educ       Date:  2018-06-19

2.  Scanning the visual world: a study of patients with homonymous hemianopia.

Authors:  A L Pambakian; D S Wooding; N Patel; A B Morland; C Kennard; S K Mannan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-12       Impact factor: 10.154

Review 3.  Ocular motor abnormalities in neurodegenerative disorders.

Authors:  C A Antoniades; C Kennard
Journal:  Eye (Lond)       Date:  2014-11-21       Impact factor: 3.775

4.  Memory-motor transformations are impaired in Parkinson's disease.

Authors:  Caroline J Ketcham; Timothy L Hodgson; Christopher Kennard; George E Stelmach
Journal:  Exp Brain Res       Date:  2003-01-11       Impact factor: 1.972

5.  Eye-hand coordination: memory-guided grasping during obstacle avoidance.

Authors:  Hana H Abbas; Ryan W Langridge; Jonathan J Marotta
Journal:  Exp Brain Res       Date:  2021-11-17       Impact factor: 1.972

6.  Question asking and eye tracking during cognitive disequilibrium: comprehending illustrated texts on devices when the devices break down.

Authors:  Arthur C Graesser; Shulan Lu; Brent A Olde; Elisa Cooper-Pye; Shannon Whitten
Journal:  Mem Cognit       Date:  2005-10

7.  Acoustic scanning of natural scenes by echolocation in the big brown bat, Eptesicus fuscus.

Authors:  Annemarie Surlykke; Kaushik Ghose; Cynthia F Moss
Journal:  J Exp Biol       Date:  2009-04       Impact factor: 3.312

8.  Rats' learning of a new motor skill: insight into the evolution of motor sequence learning.

Authors:  Linda Hermer-Vazquez; Nasim Moshtagh
Journal:  Behav Processes       Date:  2009-01-17       Impact factor: 1.777

9.  Look-ahead fixations: anticipatory eye movements in natural tasks.

Authors:  Neil Mennie; Mary Hayhoe; Brian Sullivan
Journal:  Exp Brain Res       Date:  2006-12-15       Impact factor: 2.064

10.  Performance of humans vs. exploration algorithms on the Tower of London Test.

Authors:  Eric Fimbel; Stéphane Lauzon; Constant Rainville
Journal:  PLoS One       Date:  2009-09-29       Impact factor: 3.240

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