51. FITBIT+: A BEHAVIOR-BASED INTERVENTION SYSTEM TO REDUCE SEDENTARY BEHAVIOR

Department: Computer Science & Engineering
Faculty Advisor(s): William Griswold | Gregory Norman

Primary Student
Name: Laura R Pina
Email: lrpina@ucsd.edu
Phone: 858-534-9669
Grad Year: 2014

Student Collaborators
Ernesto Ramirez, erramirez@ucsd.edu

Abstract
People in sedentary occupations may sit for long periods of time, yet research has revealed that lengthy sitting, independent of overall physical activity level, increases the risk of weight gain and mortality. Wearable sensing devices have been created to support self-awareness of physical activity. These devices capture data, to be analyzed later in time. The analysis infers and captures desirable behaviors (such as walking and restful sleep). The user can then reflect on the rich activity data in the form of graphs and charts. However, these systems' lack of in-situ intervention to correct undesirable behaviors (e.g., prolonged sitting). We present Fitbit+, a system that realizes this strategy by leveraging Fitbit's near real-time, automated step logging to detect prolonged sedentary behavior in-situ and then prompt users to take a walking break in a non-disruptive manner. In this way, we aim to decrease the duration of sedentary bouts in the workplace.

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