Eliciting user preferences using image-based experience sampling and reflection
CHI '02 Extended Abstracts on Human Factors in Computing Systems
A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Sensing and modeling human networks
Sensing and modeling human networks
A 15 -- 15 mm, 1 μA, reliable sensor-net module: enabling application-specific nodes
Proceedings of the 5th international conference on Information processing in sensor networks
Honest Signals: How They Shape Our World
Honest Signals: How They Shape Our World
The computer for the 21st Century
IEEE Pervasive Computing
Healthcare of an organization: using wearable sensors and feedback system for energizing workers
Proceedings of the 16th Asia and South Pacific Design Automation Conference
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We have constructed a new application of continuous sensing of human physiological data during daily a business setting. By capturing the subtle changes and differences in motion rhythm detected through an accelerator rather than trying to identify the context of human activities, we are envisioning the prediction of a person's psychological flow state, i.e., the engagement in one's task. A badge-shaped wearable sensor device called "Business Microscope" was developed and deployed in a real organization, an office supply firm, for one month to study how effectively flow states could be measured during daily work. We found that even though each subject behaved at different motion rhythms when they were in flow, the consistency of motion rhythm around 2 to 3 Hz was correlated with the richness of flow during work (r=0.47, p