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Pattern Recognition Letters
Heart rate variability: indicator of user state as an aid to human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Guest Editor's Introduction: Wearable Computing-Toward Humanistic Intelligence
IEEE Intelligent Systems
Interacting with groups of computers
Communications of the ACM
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
Examining the robustness of sensor-based statistical models of human interruptibility
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
Eye contact sensing glasses for attention-sensitive wearable video blogging
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Using mental load for managing interruptions in physiologically attentive user interfaces
CHI '04 Extended Abstracts on Human Factors in Computing Systems
BusyBody: creating and fielding personalized models of the cost of interruption
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Using context-aware computing to reduce the perceived burden of interruptions from mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Distinguishing Difficulty Levels with Non-invasive Brain Activity Measurements
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Sensing cognitive multitasking for a brain-based adaptive user interface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interaction mediate agent based on user interruptibility estimation
HI'11 Proceedings of the 2011 international conference on Human interface and the management of information - Volume Part I
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User interruptability has become an important topic of study in Human-Computer Interaction (HCI). However, automatically determining the availability of users is still problematic. In this paper, we present a preliminary study of the use of physiological measurements for predicting user interruptability status. We measured Heart Rate Variability (HRV) and Electromyogram (EMG) signals whilst users performed a variety of tasks; including reading, solving word puzzles, mental arithmetic, typing, and playing a racing game. Results show high correlations for both HRV (r = 0.96) and EMG (r = 0.85) with user self-reports of interruptability. We combined these two measures into a single linear model, which predicted user interruptability with a combined r2 of 0.95, or 95% of the variance. Please note that our model, at this stage, describes interruptability across users rather than per individual. We describe an application of our findings in the Physiological Weblog, or 'Plog, a system that uses our model for automating online messaging status.