Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing

Commuting to and from work presents daily stressors for most workers. It is typically demanding in terms of time and cost, and can impact people’s mental health, job performance, and, broadly speaking, personal life. We use mobile phones and wearable sensing to capture location-related context, phys...

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Published in:IEEE pervasive computing 2021-10, Vol.20 (4), p.52-60
Main Authors: Nepal, Subigya, Martinez, Gonzalo J., Mirjafari, Shayan, Mattingly, Stephen, Swain, Vedant Das, Striegel, Aaron, Audia, Pino G., Campbell, Andrew T.
Format: Article
Language:English
Subjects:
Cell phones
Commuting
Employment
Mental health
Mobile handsets
Performance measurement
Personnel
Physiology
Sensors
Wearable computers
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cited_by cdi_FETCH-LOGICAL-c293t-92a4fbcbe3efa390d25e168c1b79a50959d97245b1d24bc856ceb532850e64e63
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container_issue 4
container_start_page 52
container_title IEEE pervasive computing
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creator Nepal, Subigya
Martinez, Gonzalo J.
Mirjafari, Shayan
Mattingly, Stephen
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Campbell, Andrew T.
description Commuting to and from work presents daily stressors for most workers. It is typically demanding in terms of time and cost, and can impact people’s mental health, job performance, and, broadly speaking, personal life. We use mobile phones and wearable sensing to capture location-related context, physiology, and behavioral patterns of N=275 information workers while they commute, mainly by driving, between home and work locations spread across the United States for a one-year period. We assess the impact of commuting on participant’s workplace performance, showing that we can predict self-reported workplace performance metrics based on passively collected mobile-sensing features captured during commute periods.
doi_str_mv 10.1109/MPRV.2021.3112399
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subjects Cell phones
Commuting
Employment
Mental health
Mobile handsets
Performance measurement
Personnel
Physiology
Sensors
Wearable computers
title Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing
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