A study of commuting and job performance shows how wearable sensing technology can predict individual work quality based on the daily grind of commuting.
"Traveling to and from the office remains an important part of life that affects the quality of work that people produce," says Andrew Campbell, a professor of computer science at Dartmouth College.
"Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing," published in IEEE Pervasive Computing, analyzed data from activity trackers and smartphones to capture physiological and behavioral patterns during commuting. The study indicates that high performing workers may be more physically fit and stress resilient. Low performers showed higher stress levels in the times before, during, and after commutes.
"We were able to build machine learning models to accurately predict job performance," says lead author Subigya Nepal.
From Dartmouth College
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