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Predicting Office Workers' Productivity: A Machine Learning Approach Integrating Physiological, Behavioral, and Psychological Indicators.
Awada, Mohamad; Becerik-Gerber, Burcin; Lucas, Gale; Roll, Shawn C.
Affiliation
  • Awada M; Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  • Becerik-Gerber B; Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  • Lucas G; USC Institute for Creative Technologies, University of Southern California, Los Angeles, CA 90089, USA.
  • Roll SC; Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA 90089, USA.
Sensors (Basel) ; 23(21)2023 Oct 25.
Article in En | MEDLINE | ID: mdl-37960394
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wearable Electronic Devices Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: United States Country of publication: Switzerland
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wearable Electronic Devices Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: United States Country of publication: Switzerland