Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

9-2015

Abstract

Growing interest in quantified self has led to the popularity of lifelogging applications. In particular, health and wellness related applications have seen an upsurge with the advent of wearables such as the Fitbit. In this paper, we focus on the quality of sleep that directly impacts the overall wellness of individuals. In particular, in this work, we present a first of its kind study that (1) unobtrusively quantifies the quality of sleep and (2) seeks to identify attributing aspects of our daily lives such as an individual's usage of apps throughout the day and his/her physical environment that may affect sleep. We use real life, in-situ smartphone data from 400+ undergraduate students over an observation period of 15 months, and present our initial observations.

Keywords

Daily lives, Health and wellness, Lifelogging, Observation Period, Physical environments, Undergraduate students

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

UbiComp/ISWC '15: Adjunct Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, Osaka, September 8

First Page

753

Last Page

762

ISBN

9781450335751

Identifier

10.1145/2800835.2804393

Publisher

ACM

City or Country

New York

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1145/2800835.2804393

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