Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing
| العنوان: | Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing |
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| المؤلفون: | Shayan Mirjafari, Aaron Striegel, Subigya Nepal, Andrew T. Campbell, Gonzalo J. Martinez, Vedant Das Swain, Pino G. Audia, Stephen M. Mattingly |
| المصدر: | IEEE Pervasive Computing. 20:52-60 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Ubiquitous computing, Computational Theory and Mathematics, Computer science, Job performance, Applied psychology, Task analysis, Wearable computer, Behavioral pattern, Personal life, Context (language use), Mental health, Software, Computer Science Applications |
| الوصف: | 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. |
| تدمد: | 1558-2590 1536-1268 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::2338f192bd5233dc68c2632ee25b7251 https://doi.org/10.1109/mprv.2021.3112399 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........2338f192bd5233dc68c2632ee25b7251 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15582590 15361268 |
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