Identifying fixations and saccades in eye-tracking protocols
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
Modelling both the Context and the User
Personal and Ubiquitous Computing
Old Theories, New Technologies: Cumulative Clutter Effects Using Augmented Reality
IV '99 Proceedings of the 1999 International Conference on Information Visualisation
Frequency analysis of task evoked pupillary response and eye-movement
Proceedings of the 2004 symposium on Eye tracking research & applications
"Constant, constant, multi-tasking craziness": managing multiple working spheres
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
If not now, when?: the effects of interruption at different moments within task execution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
openEyes: a low-cost head-mounted eye-tracking solution
Proceedings of the 2006 symposium on Eye tracking research & applications
Iterative design of MOVE: A situationally appropriate vehicle navigation system
International Journal of Human-Computer Studies
Detecting and correcting user activity switches: algorithms and interfaces
Proceedings of the 14th international conference on Intelligent user interfaces
Psycho-physiological measures for assessing cognitive load
Proceedings of the 12th ACM international conference on Ubiquitous computing
Eye activity as a measure of human mental effort in HCI
Proceedings of the 16th international conference on Intelligent user interfaces
Investigation of spectral centroid features for cognitive load classification
Speech Communication
Eye Movement Analysis for Activity Recognition Using Electrooculography
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classifying severely imbalanced data
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
A comparison of four methods for cognitive load measurement
Proceedings of the 23rd Australian Computer-Human Interaction Conference
Tagging-by-search: automatic image region labeling using gaze information obtained from image search
Proceedings of the 19th international conference on Intelligent User Interfaces
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A day in the life of a user can be segmented into a series of tasks: a user begins a task, becomes loaded perceptually and cognitively to some extent by the objects and mental challenge that comprise that task, then at some point switches or is distracted to a new task, and so on. Understanding the contextual task characteristics and user behavior in interaction can benefit the development of intelligent systems to aid user task management. Applications that aid the user in one way or another have proliferated as computing devices become more and more of a constant companion. However, direct and continuous observations of individual tasks in a naturalistic context and subsequent task analysis, for example the diary method, have traditionally been a manual process. We propose a method for automatic task analysis system, which monitors the user's current task and analyzes it in terms of the task transition, and perceptual and cognitive load imposed by the task. An experiment was conducted in which participants were required to work continuously on groups of three sequential tasks of different types. Three classes of eye activity, namely pupillary response, blink and eye movement, were analyzed to detect the task transition and non-transition states, and to estimate three levels of perceptual load and three levels of cognitive load every second to infer task characteristics. This paper reports statistically significant classification accuracies in all cases and demonstrates the feasibility of this approach for task monitoring and analysis.