MoodRhythm: tracking and supporting daily rhythms

Authors:
Stephen Voida;Mark Matthews;Saeed Abdullah;Mengxi (Chrissie) Xi;Matthew Green;Won Jun Jang;Donald Hu;John Weinrich;Prashama Patil;Mashfiqui Rabbi;Tauhidur Rahman;Geri Gay;Ellen Frank;Tanzeem Choudhury
Affiliations:
Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;Cornell University, Ithaca, NY, USA;University of Pittsburgh Medical Center, Pittsburgh, PA, USA;Cornell University, Ithaca, NY, USA
Venue:
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Year:
2013

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Abstract

Rhythms guide our lives. Our biological clocks tell us when we need to sleep, eat and wake. But our use of technology can interrupt and obstruct these rhythms, making it difficult for our bodies to get what they need to stay healthy and balanced. Our MoodRhythm app helps individuals to live a more naturally rhythmic day. The key goals of MoodRhythm are to use patients' smartphones to actively and passively track daily rhythms and to provide affective feedback that can help patients to maintain a regular daily rhythm, while feeding this clinically valuable information back to their physicians.