Energy aware dwelling: a critical survey of interaction design for eco-visualizations
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
Participatory design of sensing networks: strengths and challenges
Proceedings of the Tenth Anniversary Conference on Participatory Design 2008
Participatory sensing in public spaces: activating urban surfaces with sensor probes
Proceedings of the 8th ACM Conference on Designing Interactive Systems
Recruitment framework for participatory sensing data collections
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Ikarus: large-scale participatory sensing at high altitudes
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
BOSS: building operating system services
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Carrying My Environment with Me: A Participatory-sensing Approach to Enhance Thermal Comfort
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
ZonePAC: Zonal Power Estimation and Control via HVAC Metering and Occupant Feedback
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
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Current building management systems (BMS) operate based on conservatively defined operational hours, maximum occupancy rates, and standardized occupant comfort set points. Despite the increasing building energy consumption rates, occupants are not usually satisfied with the indoor conditions in commercial buildings. This study proposes an intermediary communication platform, which enables occupants to communicate their preferences to the BMS. The objective is to facilitate the communication between humans and buildings toward adaptive end user comfort management and to compensate for high rate of discomfort in office buildings. The design process of the intermediary, as well as the participatory sensing approach for deploying it in a test bed is presented. The key element is the interpretation of occupants' preferences in the form of change in the HVAC system operations. The results are presented to investigate the correlation between sensed ambient conditions and the user preferences. The results show that although there is a weak to moderate correlation between ambient temperature, humidity, and occupants' preferences, the variation of correlation for different occupants is relatively high.