mPerf

Using mobile sensors to support productivity and employee well-being

Current workforce evaluation tools, such as interviews, cognitive assessments, and questionnaires, can be helpful in assessing job performance, but do not always accurately reflect how an individual is performing. In addition, these traditional tools can mean more paperwork, bias, and missing indicators of performance.

Many of us use mobile sensors to monitor our health and wellness. These sensors can now also be used to help us improve our work performance and productivity.

Current performance evaluation tools such as interviews, cognitive assessments, and questionnaires do not always capture how an individual performs on a day-to-day basis. mPerf is building an open-source software platform developed by the NIH-supported Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) that allows researchers to transform high-frequency mobile sensor data into biomarkers. mPerf will use this platform to better understand performance and support individual well-being.

IARPA Contract #: 2017-17042800006
Lead PI: Dr. Santosh Kumar, University of Memphis

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Institutions:

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Studies:

Evaluating use of wearable sensing and EMA to objectively assess everyday job performance for employers.

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Developing and evaluating sensor-based algorithms capable of estimating dimensions of job performance.

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Developing and evaluating sensor-based algorithms capable of estimating dimensions of job performance.

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