1. Just In Time Carbon Footprint Manu Gupta, Stephen Intille and Kent Larson MIT Media Lab, House_n manug@mit.edu intille@mit.edu kll@mit.edu

2. Carbon Footprint Measurement & calculation of CO 2 emitted as part of daily life activities Why measure –Conserve energy –Allow people to be aware of their emission –Help people change usage patterns –Its our responsibility

3. Our Focus Behavior change Measuring and motivating energy conservation behavior at the personal level

4. PlaceLab- A Live-In Laboratory Data Collection – Only electric current information – 37 different electrical circuits fitted with current sensors – Circuits are divided into residential spaces and residential appliances

5. PlaceLab- A Live-In Laboratory Data Analysis – A Couple lived in the PlaceLab for 10 weeks – One day analysis – Annotation Video analysis of usage, movement and behavior patterns – Current analysis Of each individual appliance/device’s energy consumption

21. Analysis Tool Handlense sensor visualization tool –Developed at House_n Unused lights & Devices Vampire power sources

22. Projected Usage Devices in use Space in use

23. Results Total electricity consumed in 1 day = 13.45 KWh With an “optimal” change in behavior (but without impacting quality of life) – They would have saved ~ 38% (5KWh) of the total electricity consumed

24. Behavior Change Strategies To motivate energy conservation behavior two strategies can be used Responsive Automation* Just in Time Intervention* *Current research is on designing these strategies and testing how much energy can be saved using them.

25. Behavioral Change Interfaces Exploring the use of phones for just-in-time positive reinforcement. Key idea: positive reinforcement tied to small behavior changes (Detected by sensing) May lead to gradual behavior change.

26. System Components Sensor Network Control and Actuation system Mobile Devices Intervention strategies

27. System Characteristics Low power Wireless Affordable Real Time interaction with mobile devices Non intrusive Right mix of automation and intervention

28. Thanks