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Human-Adaptive Active Sensing – Prof. Matthew Gerber

Human-Adaptive Active Sensing: Mobile technology (e.g., the smartphone) affords an increasing breadth of sensors that can be used to measure human states and behaviors that drive health and performance outcomes. However, many key states and behaviors cannot be directly sensed (e.g., cognitive states related to depression), necessitating active human engagement with mobile technology to provide such measurements. This project aims to reduce the burden of human engagement by adapting to the individual’s environment (e.g., tailoring the elicitation of depressive symptoms to ambient physical conditions).

Matthew Gerber, Ph.D.

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