The effect of user engagement on system success: a meta-analytical integration of research findings
Information and Management
Healthcare in everyday life: designing healthcare services for daily life
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Getting to green: understanding resource consumption in the home
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Black cloud: patterns towards da future
MM '09 Proceedings of the 17th ACM international conference on Multimedia
InAir: sharing indoor air quality measurements and visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Home, habits, and energy: examining domestic interactions and energy consumption
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The design of eco-feedback technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the Tenth Anniversary Conference on Participatory Design 2008
CHI '11 Extended Abstracts on Human Factors in Computing Systems
MAQS: a mobile sensing system for indoor air quality
Proceedings of the 13th international conference on Ubiquitous computing
Tailoring feedback to users' actions in a persuasive game for household electricity conservation
PERSUASIVE'12 Proceedings of the 7th international conference on Persuasive Technology: design for health and safety
A low-tech sensing system for particulate pollution
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
Hi-index | 0.01 |
Indoor air quality (IAQ) is important for health as people spend the majority of time indoors, and it is particularly interesting over outdoor air because it strongly ties to indoor activities. Some activities easily exacerbate IAQ, resulting in serious pollution. However, people may not notice such changes because many pollutants are colorless and odorless, while many activities are inconspicuous and routine. We implemented inAir, a system that measures and visualizes IAQ that households appropriate and integrate into everyday life. The research goals of this work include understanding the IAQ dynamics with respect to habitual behaviors and analyzing behavioral and quantitative changes towards improving IAQ by the use of inAir. From our longitudinal study for four months, we found that inAir successfully elicited the reflection upon, and the modification of habitual behaviors for healthy domestic environments, which resulted in the significant improvement of IAQ.