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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2018 Vol.8(7): 482-490 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.7.1086

Local Sequence Alignment for Scan Path Similarity Assessment

Asma Ben Khedher, Imène Jraidi, and Claude Frasson
Abstract—It has long been shown that there is a close relationship between eye movement, human cognition and brain activity. The present work seeks to explore this relationship by investigating the students’ saccadic eye movement sequences in a problem solving task. We aim to assess students’ reasoning process in a clinical problem solving task using students’ visual trajectories. We use students’ scan path, followed while resolving medical cases, and a local sequence alignment algorithm, to evaluate their analytical reasoning during medical case resolution. An experimental protocol was conducted with 15 participants. Eye movements were recorded while they were interacting with our learning environment. The proposed approach, based on gaze data, can be reliably applied to eye movement sequence comparison. Our findings have implications for improving novice clinicians’ reasoning abilities in particular and ultimately enhancing learning outcomes.

Index Terms—Cognitive tasks, eye movements, local sequence alignment, medical reasoning, scan path similarity.

The authors are with the University of Montreal, Canada (e-mail: benkheda@iro.umontreal.ca).


Cite: Asma Ben Khedher, Imène Jraidi, and Claude Frasson, "Local Sequence Alignment for Scan Path Similarity Assessment," International Journal of Information and Education Technology vol. 8, no. 7, pp. 482-490, 2018.

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