A gaze-responsive self-disclosing display
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On designing comprehensible interactive hypermedia manuals
International Journal of Human-Computer Studies
Designing attentive interfaces
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Multimedia design for communication of dynamic information
International Journal of Human-Computer Studies - Special issue: Interactive graphical communication
An Eye-Tracking Study of Exploitations of Spatial Constraints in Diagrammatic Reasoning
Diagrams '08 Proceedings of the 5th international conference on Diagrammatic Representation and Inference
Assessing information presentation preferences with eye movements
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
Consumer decision patterns through eye gaze analysis
Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction
Eye-tracking the factors of process model comprehension tasks
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Psychophysiological assessment tools for evaluation of learning technologies
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
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Cognitive models and empirical studies of problem solving in visuo-spatial and causal domains suggest that problem solving tasks in such domains invoke cognitive processes involving mental animation and imagery. If these internal processes are externally manifested in the form of eye movements, such tasks present situations in which the trajectory of a user's visual attention can provide clues regarding his or her information needs to an Attentive User Interface [Vertegaal 2002]. In this paper, we briefly review research related to problem solving that involves mental imagery, and describe an experiment that looked for evidence and effects of an imagery strategy in problem solving. We eye-tracked 90 subjects solving two causal reasoning problems, one in which a diagram of the problem appeared on the stimulus display, and a second related problem that was posed on a blank display. Results indicated that 42% of the subjects employed mental imagery and visually scanned the display in a correspondingly systematic fashion. This suggests that information displays that respond to a user's visual attention trajectory, a kind of Attentive User Interface, are more likely to benefit this class of users.