The Community for Technology Leaders
2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom) (2011)
Boston, MA
Oct. 9, 2011 to Oct. 11, 2011
ISBN: 978-1-4577-1931-8
pp: 208-214
S. T. Moturu , MIT Media Lab., Cambridge, MA, USA
I. Khayal , Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
N. Aharony , MIT Media Lab., Cambridge, MA, USA
W. Pan , MIT Media Lab., Cambridge, MA, USA
A. Pentland , MIT Media Lab., Cambridge, MA, USA
ABSTRACT
In recent years, reality mining experiments have provided several novel insights into human social behavior that would not have been possible without the novel use of smart phone sensing. In this work, we leverage the latest reality mining experiment to study social behavior from a public health perspective. In particular, we focus on sleep and mood as they have a considerable public health impact with serious societal and significant financial effects. We endeavor to explore and uncover the associations between sleep, mood and sociability by studying a population of healthy young adults going about their everyday life. We find significant associations between sleep and mood, reiterating observations in the literature. More importantly, we find that individuals with lower overall sociability tend to report poor mood more often, a statistically significant observation. In addition, we also uncover associations between daily sociability and sleep, a previously unreported observation. These results demonstrate the potential of reality mining studies for studying the sociological aspects of significant public health problems. Further, we hope that our work will provide the impetus for larger studies validating some of these observations and ultimately result in behavioral interventions that can improve public health through better social interaction.
INDEX TERMS
Mood, Communities, Sensors, Bluetooth, Public healthcare, Humans, Software,sociability, social computing, public health, wireless sensing, reality mining, sleep, mood
CITATION
S. T. Moturu, I. Khayal, N. Aharony, W. Pan, A. Pentland, "Using Social Sensing to Understand the Links between Sleep, Mood, and Sociability", 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom), vol. 00, no. , pp. 208-214, 2011, doi:10.1109/PASSAT/SocialCom.2011.200
84 ms
(Ver 3.3 (11022016))