TY - JOUR
T1 - Assessment of perceived indoor environmental quality, stress and productivity based on environmental sensor data and personality categorization
AU - Kallio, Johanna
AU - Vildjiounaite, Elena
AU - Koivusaari, Jani
AU - Räsänen, Pauli
AU - Similä, Heidi
AU - Kyllönen, Vesa
AU - Muuraiskangas, Salla
AU - Ronkainen, Jussi
AU - Rehu, Jari
AU - Vehmas, Kaisa
N1 - Funding Information:
The authors are grateful to the pilot participants for their active and significant role in both pilots. Special thanks to Mr. Severi Olsbo and our former colleague Mr. Dan Bendas for their participation in the implementation of the data collection solution. We are also thankful to Dr. Panu Korpipää for valuable comments. The study was implemented in collaboration with the ESTABLISH and SCOTT projects. ESTABLISH ( ITEA3 15008 ) was supported by Business Finland and VTT Technical Research Centre of Finland , and the school pilot was designed in collaboration with UniqAir, CGI, and InspectorSec. SCOTT (Secure COnnected Trustable Things) received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737422 . This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program , and from Austria, Spain, Finland, Ireland, Sweden, Germany, Poland, Portugal, Netherlands, Belgium and Norway.
Funding Information:
The authors are grateful to the pilot participants for their active and significant role in both pilots. Special thanks to Mr. Severi Olsbo and our former colleague Mr. Dan Bendas for their participation in the implementation of the data collection solution. We are also thankful to Dr. Panu Korpipää for valuable comments. The study was implemented in collaboration with the ESTABLISH and SCOTT projects. ESTABLISH (ITEA3 15008) was supported by Business Finland and VTT Technical Research Centre of Finland, and the school pilot was designed in collaboration with UniqAir, CGI, and InspectorSec. SCOTT (Secure COnnected Trustable Things) received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737422. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program, and from Austria, Spain, Finland, Ireland, Sweden, Germany, Poland, Portugal, Netherlands, Belgium and Norway.
Publisher Copyright:
© 2020 The Author(s)
PY - 2020/5/15
Y1 - 2020/5/15
N2 - Indoor environmental quality (IEQ) has an influence on peoples’ health, cognitive performance and productivity in school and office environments. This study used environmental temperature, humidity, air pressure, and CO2 sensor data collected during 3.5 to 7 months in an office and a school facility to classify occupants’ perceptions of IEQ, stress and productivity in two classes, “negative” and “positive”. Self-reported data from 15 office workers and four teachers were used to train person-specific SVM classifier models. Relatively high accuracies were achieved in classifying IEQ (84%), stress (88%) and productivity (92%) using different combinations of environmental sensor data. Furthermore, the associations between the Big Five personality trait variables (neuroticism, extraversion, openness, agreeableness and conscientiousness) and negative experiences regarding stress, productivity and IEQ were investigated. Positive correlation was found between extroversion and co-occurring stress and IEQ problems, which suggest that more extroverted people more likely to be stressed by insufficient environmental quality or to be more sensitive to environmental factors when under stress. Overall, the results indicate that it is possible to measure and classify perceived IEQ, stress and productivity sufficiently accurately using inexpensive environmental sensors.
AB - Indoor environmental quality (IEQ) has an influence on peoples’ health, cognitive performance and productivity in school and office environments. This study used environmental temperature, humidity, air pressure, and CO2 sensor data collected during 3.5 to 7 months in an office and a school facility to classify occupants’ perceptions of IEQ, stress and productivity in two classes, “negative” and “positive”. Self-reported data from 15 office workers and four teachers were used to train person-specific SVM classifier models. Relatively high accuracies were achieved in classifying IEQ (84%), stress (88%) and productivity (92%) using different combinations of environmental sensor data. Furthermore, the associations between the Big Five personality trait variables (neuroticism, extraversion, openness, agreeableness and conscientiousness) and negative experiences regarding stress, productivity and IEQ were investigated. Positive correlation was found between extroversion and co-occurring stress and IEQ problems, which suggest that more extroverted people more likely to be stressed by insufficient environmental quality or to be more sensitive to environmental factors when under stress. Overall, the results indicate that it is possible to measure and classify perceived IEQ, stress and productivity sufficiently accurately using inexpensive environmental sensors.
KW - Indoor environmental quality
KW - stress
KW - productivity
KW - classification
KW - machine learning
KW - personality
UR - http://www.scopus.com/inward/record.url?scp=85081697453&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2020.106787
DO - 10.1016/j.buildenv.2020.106787
M3 - Article
SN - 0360-1323
VL - 175
JO - Building and Environment
JF - Building and Environment
M1 - 106787
ER -