Two researchers from the University of Minnesota are working on a mobile sensor technology that hopes to improve people's productivity in the workplace.
Deniz Ones, a professor of psychology from the College of Liberal Arts and Mustafa al`Absi, professor of behavioral medicine at the College of Medicine, joined a six-university team that will spend $ 13.8 million to create and test new projects, an objective perfor- mance based on day-to-day performance of mobile sensors and software Evaluation System, funded by the Institute for Advanced Information Research (IARPA).
Dr Al'absi, a director of behavioral medicine laboratories and stress research, will lead the team in field research in measuring and predicting performance, noting that stress can affect people's lives and lead to a series of problems such as heart attack and obesity, Affect work performance. The goal of this project is to develop new ways to understand how people's performance and decision-making skills are affected in a stressful situation.
Existing labor-assessment tools such as cognitive assessment, interviews and surveys are not the best way to measure a person's performance in daily life. The sensor will capture more accurately the behavior of people in different situations and provide a final Improve work performance and productivity.
To develop and evaluate the model, the research team will capture data from hundreds of staff at home and abroad and create new sensor tags, then apply data analysis to develop sensor-based indicator libraries and calculate employee characteristics such as abilities, character, job performance, and more.
The six-university research team will be led by Santosh Kumar, MD, professor of mobile sensor data centers of excellence funded by the University of Memphis and the NIH and sponsored by the National Institutes of Health, which includes top fellows in the field of work performance including human relations, sensor design and signal processing, psychological stress , Mobile computing, mobile sensing and machine learning experts.
The research team hopes to develop a methodology for assessing employee talent through this project to analyze workplace behavior and outcomes, including performance, satisfaction and stress. The research's potential for innovation in the world of work is similar to that of a wagon to a self-driving vehicle.
Dr. al`sabi says projects like this are exciting, with sensors that bring the data to people in the best way because everyone is affected by job performance.
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