BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing

نویسندگان

  • Nicholas D. Lane
  • Mu Lin
  • Mashfiqui Mohammod
  • Xiaochao Yang
  • Hong Lu
  • Giuseppe Cardone
  • Shahid Ali
  • Afsaneh Doryab
  • Ethan Berke
  • Andrew T. Campbell
  • Tanzeem Choudhury
چکیده

Smartphone sensing and persuasive feedback design is enabling a new generation of wellbeing apps capable of automatically monitoring multiple aspects of physical and mental health. In this article, we present BeWell+ the next generation of the BeWell smartphone wellbeing app, which monitors user behavior along three health dimensions, namely sleep, physical activity, and social interaction. BeWell promotes improved behavioral patterns via feedback rendered as an ambient display on the smartphone’s wallpaper. With BeWell+, we introduce new mechanisms to address key limitations of the original BeWell app; specifically, (1) community adaptive wellbeing feedback, which generalizes to diverse user communities (e.g., elderly, children) by promoting better behavior yet remains realistic to the user’s lifestyle; and, (2) wellbeing adaptive energy allocation, which prioritizes monitoring fidelity and feedback responsiveness on specific health dimensions (e.g., sleep) where the user needs additional help. N. D. Lane ( ) Microsoft Research Asia, Beijing, China e-mail: [email protected] M. Lin · X. Yang · S. Ali · E. Berke · A. T. Campbell Dartmouth College, Hanover, NH 03755, USA H. Lu Intel Lab, Santa Clara, CA 95054, USA G. Cardone University of Bologna, Bologna, Italy A. Doryab Carnegie Mellon University, Pittsburgh, PA 15213, USA M. Mohammod · T. Choudhury Cornell University, Ithaca, NY 14850, USA We evaluate BeWell+ with a 27 person, 19 day field trial. Our findings show that not only can BeWell+ operate successfully on consumer smartphones; but also users understand feedback and respond by taking steps towards leading healthier lifestyles.

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عنوان ژورنال:
  • MONET

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2014