Sensor-based physical interactions as interventions for change in residential energy consumption

  • Authors:

  • Mailyn Fidler;Sharon Tan;Samar Alqatari;Nishant Bhansali;Alex Chang;Mia Davis;Eric Kofman;Krystal Lee;Phounsouk Sivilay;Marilyn Cornelius;Brendan Wypich;Banny Banerjee

  • Affiliations:

  • Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Stanford University, Stanford, California, USA;Lift Projects, San Francisco, California, USA;Stanford University, Stanford, California, USA

  • Venue:
  • CHI '12 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

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.