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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Abstract

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
Volume32
Early online date26 Jan 2014
DOIs
Publication statusPublished - Aug 2014

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expert
aircraft
expertise
Aircraft
Eye Movements
air traffic
Radar
performance
Information Storage and Retrieval
Task Performance and Analysis
Teaching
Air
Students
student
time

Keywords

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

Cite this

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title = "Identification of effective visual problem solving strategies in a complex visual domain",
abstract = "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.",
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Identification of effective visual problem solving strategies in a complex visual domain. / Van Meeuwen, Ludo; Jarodzka, Halszka; Brand-Gruwel, Saskia; Kirschner, Paul A.; de Bock, Jeano J.P.R.; Van Merriënboer, Jeroen.

In: Learning and Instruction, Vol. 32, 08.2014, p. 10-21.

Research output: Contribution to journalArticleAcademicpeer-review

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