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Socio-physical analytics
Author(s) -
Archan Misra,
Kasthuri Jayarajah,
Shriguru Nayak,
Philips Kokoh Prasetyo,
EePeng Lim
Publication year - 2014
Publication title -
singapore management university institutional knowledge (ink) (singapore management university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2611264.2611265
Subject(s) - data science , analytics , computer science , data analysis , physical activity , human–computer interaction , data mining , medicine , physical medicine and rehabilitation
In this paper, we argue for expanded research into an area called Socio-Physical Analytics, that focuses on combining the behavioral insight gained from mobile-sensing based monitoring of physical behavior with the inter-personal relationships and preferences deduced from online social networks. We highlight some of the research challenges in combining these heterogeneous data sources and then describe some examples of our ongoing work (based on real-world data being collected at SMU) that illustrate two aspects of socio-physical analytics: (a) how additional demographic and online analytics based attributes can potentially provide better insights into the preferences and behaviors of individuals or groups (in terms of movement prediction and understanding of physical vs. online interactions), and (b) how online and physical interactions can help us discover latent characteristics of physical spaces and entities.

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