Identification of effective visual problem solving strategies in a complex visual domain

Ludo Van Meeuwen*, Halszka Jarodzka, Saskia Brand-Gruwel, Paul A. Kirschner, Jeano J.P.R. de Bock, Jeroen Van Merriënboer

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

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    Students in complex visual domains must acquire visual problem solving strategies that allow them to make fast decisions and come up with good solutions to real-time problems. In this study, 31 air traffic controllers at different levels of expertise (novice, intermediate, expert) were confronted with 9 problem situations depicted on a radar screen. Participants were asked to provide the optimal order of arrival of all depicted aircrafts. Eye-movements, time-on-task, perceived mental effort, and task performance were recorded. Eye-tracking data revealed that novices use inefficient means-end visual problem solving strategies in which they primarily focus on the destination of aircraft. Higher levels of expertise yield visual problem solving strategies characterized by more efficient retrieval of relevant information and more efficient scan paths. Furthermore, experts’ solutions were more similar than intermediates’ solutions and intermediates’ solutions were more similar than novices’ solutions. Performance measures showed that experts and intermediates reached better solutions than novices, and that experts were faster and invested less mental effort than intermediates and novices. These findings may help creating eye-movement modeling examples for the teaching of visual problem solving strategies in complex visual domains.
    Original languageEnglish
    Pages (from-to)10-21
    Number of pages12
    JournalLearning and Instruction
    Early online date26 Jan 2014
    Publication statusPublished - Aug 2014


    • visual problem solving strategies
    • decision making
    • eye movements
    • air traffic controllers
    • visual domains
    • Expertise
    • Eye-Tracking
    • Perceptual task
    • visual problem solving
    • Solution similarity


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