1. Sensor-based physical interactions as interventions for change in residential energy consumption
- Author
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Alex C.Y. Chang, Nishant Bhansali, Phounsouk Sivilay, Marilyn Cornelius, Krystal Lee, Banny Banerjee, Eric Kofman, Mia Davis, Mailyn Fidler, Sharon Tan, Samar Alqatari, and Brendan Wypich
- Subjects
Consumption (economics) ,Ubiquitous computing ,Domestic energy consumption ,Risk analysis (engineering) ,Computer science ,Product (category theory) ,Computer security ,computer.software_genre ,computer ,Experiential learning ,Wireless sensor network - Abstract
Interventions for behavior change in domestic energy consumption rely critically on energy usage data. To obtain this data, collection systems must be established. Pervasive sensing systems enable such monitoring, but populating homes with sensors is challenging. We offer an alternative to feedback approaches that depend on the assumption that users are motivated by energy data in its raw state. Physical Experiential Technology Systems (PETS) is a behavior-and sensor-based platform supporting rich experiences and the diffusion of sensors in homes. In this paper, we present our novel approach to building sensor feedback systems and our initial product concepts.
- Published
- 2012
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