Recognizing Facial Expressions Using Model-Based Image Interpretation
Multimodal Signals: Cognitive and Algorithmic Issues
The development and evaluation of a survey to measure user engagement
Journal of the American Society for Information Science and Technology
Facial expression recognition for human-robot interaction: a prototype
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Developing and automating a prototype for assessing levels of student involvement
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
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Safe and effective use of monitoring, scheduling, andaction-guidance technologies is often dependent uponhuman operator agency. The cognitive ability of thehuman operator to control the environment variesdepending on the individual's affective andphysiological state as well as on situation-dependenttemporal and contextual factors. Clearly, there is aneed for real-time assessment of cognitive load in orderto increase operator effectiveness through adaptivefiltering of information. In order to begin assessment ofhow to flexibly augment human operator capabilities inreal time, a study to determine the best practices forintercepting and synchronizing biosensor informationfrom operators engaged in visual search tasks wasperformed.