Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Cognitive process as a basis for MIS and DSS design
Management Science
The effect of information presentation on decision making: a cost-benefit analysis
Information and Management
The effects of decision support and task contingencies on model formulation: a cognitive perspective
Decision Support Systems - Special issue: DSS on model formulation
Affective computing
Adaptive decision support systems
Decision Support Systems
Manual and gaze input cascaded (MAGIC) pointing
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Twenty years of eye typing: systems and design issues
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Visual attention to repeated internet images: testing the scanpath theory on the world wide web
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
The determinants of web page viewing behavior: an eye-tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
Human Problem Solving
eyePatterns: software for identifying patterns and similarities across fixation sequences
Proceedings of the 2006 symposium on Eye tracking research & applications
Spontaneous eye movements during visual imagery reflect the content of the visual scene
Journal of Cognitive Neuroscience
Automated eye-movement protocol analysis
Human-Computer Interaction
Exploring gaze data for determining user learning with an interactive simulation
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
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A new generation of eye trackers shows us a promising alternative approach to tracing decision processes beyond the popular computerized-information-board approach. In order to exploit the eye-movement data, this study examined the validity of the Needleman-Wunsch algorithm (NWA) to characterize the decision process, and proposed an NWA-based classification method to predict which typical strategy an empirical search behavior might belong to. An eye-tracking based experiment was conducted. Our results showed that the resemblance score by NWA conformed to the assumption that the pair of information search behaviors based on the same strategy should have the closest resemblance. Moreover, with respect to our NWA-based classification method, our result showed that its overall prediction accuracy, hit-ratio, in identifying underlying strategies achieved 88%, significantly much higher than that gained from chance. On the whole, the combination of eye-fixation data and our NWA-based classification method is qualified.