2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 2015
DOI: 10.1109/issnip.2015.7106905
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Sensor networks in workplaces: Correlating comfort and productivity

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Cited by 17 publications
(7 citation statements)
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“…Employee comfort. Research has correlated workplace environmental (air temperature, humidity, illuminance, noise and motion) and physiological data (heart data, steps taken, calories burned, activity data, galvanic skin temperature, air temperature and sleep pattern data) with office workers' self-reported productivity measures (Van der Valk et al, 2015). These results seem to support the expected correlation between comfort and employee productivity.…”
Section: Jcre 221mentioning
confidence: 76%
“…Employee comfort. Research has correlated workplace environmental (air temperature, humidity, illuminance, noise and motion) and physiological data (heart data, steps taken, calories burned, activity data, galvanic skin temperature, air temperature and sleep pattern data) with office workers' self-reported productivity measures (Van der Valk et al, 2015). These results seem to support the expected correlation between comfort and employee productivity.…”
Section: Jcre 221mentioning
confidence: 76%
“…Offices are becoming an unhealthy environment due to lack of space standards for office buildings in Nigeria (Zubairu & Olagunju, 2003). The impact of physical work environment on occupants' is under-researched as stated by Morrison & Macky, (2017), and modern offices rarely consider occupants comfort and satisfaction (Van Der Valk, Myers, Atkinson, & Mohring, 2015). Therefore, there is need for the unhealthy trend created in Nigerian Government workplaces be stopped.…”
Section: The Nigerian Situationmentioning
confidence: 99%
“…The technology uses video capture, GPS, phone applications, social media and other sensing devices that share and analyze data to build a more comprehensive view of the employee (Ajunwa et al, 2017). Personal data like employee vital signs, the heart rate, body temperature and movement on 3D axis, are also collected (Van der Valk et al, 2015). As such, the technology serves as an "electronic presence" (Aiello and Svec, 1993), that extend beyond the work time and space raising privacy concerns (Hazlehurst, 2014).…”
Section: How Different Is Iot Monitoring?mentioning
confidence: 99%