TY - JOUR
T1 - Personalised and sustainable IEQ monitoring
T2 - Use of multi-modal and pervasive technologies
AU - Coulby, Graham
AU - Clear, Adrian
AU - Jones, Oliver
AU - Godfrey, Alan
N1 - Funding information: This research was funded by the European Regional Development Fund, Grant Number: 25R17P01847.
PY - 2023/3/10
Y1 - 2023/3/10
N2 - Background: Monitoring Indoor Environmental Quality (IEQ) is important to better understand occupant health. Passive IEQ monitoring with digital technologies may provide insightful quan-titative data to better inform e.g., health interventions. Yet, many traditional approaches with known IEQ technologies have limited utility due to high costs or coarse granularity - focussing on the collective rather than individuals. Equally, subjective approaches (e.g., manual surveys) have poor adherence (i.e., burdensome). There is a need for holistic IEQ measurement techniques that are sustainable (affordable i.e., low-cost) and personalised. Here, the aim of this case report is to explore use of low-cost digital approaches to gather personalised quantitative and qualitative data. Methods: This study deploys a personalised monitoring approach with IEQ devices coupled to wearables, weather data, and qualitative data, captured through a post-study interview. Results: The mixed-method, single-case approach gathered data continuously for 6 months with reduced burden, by using digital technologies to affirm environmental factors, which were subjectively evaluated by the participant. Quantitative data reinforced qualitative data, to remove the need for generalising qualitative findings against a collective. Conclusions: This study showed that the single-case, mixed-methods approach used here can provide a holistic approach not previously obtainable with traditional pen-and-paper techniques alone. Use of a low-cost multimodal device linked with common home and wearable technology suggest a contemporary and sustainable IEQ measurement approach which could inform future work to better determine occupant health.
AB - Background: Monitoring Indoor Environmental Quality (IEQ) is important to better understand occupant health. Passive IEQ monitoring with digital technologies may provide insightful quan-titative data to better inform e.g., health interventions. Yet, many traditional approaches with known IEQ technologies have limited utility due to high costs or coarse granularity - focussing on the collective rather than individuals. Equally, subjective approaches (e.g., manual surveys) have poor adherence (i.e., burdensome). There is a need for holistic IEQ measurement techniques that are sustainable (affordable i.e., low-cost) and personalised. Here, the aim of this case report is to explore use of low-cost digital approaches to gather personalised quantitative and qualitative data. Methods: This study deploys a personalised monitoring approach with IEQ devices coupled to wearables, weather data, and qualitative data, captured through a post-study interview. Results: The mixed-method, single-case approach gathered data continuously for 6 months with reduced burden, by using digital technologies to affirm environmental factors, which were subjectively evaluated by the participant. Quantitative data reinforced qualitative data, to remove the need for generalising qualitative findings against a collective. Conclusions: This study showed that the single-case, mixed-methods approach used here can provide a holistic approach not previously obtainable with traditional pen-and-paper techniques alone. Use of a low-cost multimodal device linked with common home and wearable technology suggest a contemporary and sustainable IEQ measurement approach which could inform future work to better determine occupant health.
KW - indoor environmental quality (IEQ)
KW - personalised assessment
KW - multi-modal monitoring
KW - sensors
KW - internet of things (IoT)
KW - building occupants
UR - http://www.scopus.com/inward/record.url?scp=85151108551&partnerID=8YFLogxK
U2 - 10.3390/ijerph20064897
DO - 10.3390/ijerph20064897
M3 - Article
C2 - 36981824
AN - SCOPUS:85151108551
SN - 1661-7827
VL - 20
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 6
M1 - 4897
ER -