6th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

ohmage: An open Mobile System for Activity and Experience Sampling

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248705,
        author={Nithya Ramanathan and Faisal Alquaddoomi and Hossein Falaki and Dony George and Cheng-Kang Hsieh and John Jenkins and Cameron Ketcham and Brent Longstaff and Jeroen Ooms and Joshua Selsky and Hongsuda Tangmunarunkit and Deborah Estrin},
        title={ohmage: An open Mobile System for Activity and Experience Sampling},
        proceedings={6th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={7},
        keywords={mobile phone mhealth activity monitoring},
        doi={10.4108/icst.pervasivehealth.2012.248705}
    }
    
  • Nithya Ramanathan
    Faisal Alquaddoomi
    Hossein Falaki
    Dony George
    Cheng-Kang Hsieh
    John Jenkins
    Cameron Ketcham
    Brent Longstaff
    Jeroen Ooms
    Joshua Selsky
    Hongsuda Tangmunarunkit
    Deborah Estrin
    Year: 2012
    ohmage: An open Mobile System for Activity and Experience Sampling
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2012.248705
Nithya Ramanathan,*, Faisal Alquaddoomi1, Hossein Falaki1, Dony George1, Cheng-Kang Hsieh1, John Jenkins1, Cameron Ketcham1, Brent Longstaff1, Jeroen Ooms1, Joshua Selsky1, Hongsuda Tangmunarunkit1, Deborah Estrin1
  • 1: UCLA
*Contact email: nithya@cs.ucla.edu

Abstract

We present ohmage, a mobile to web platform that records, analyzes, and visualizes data from both prompted experience samples entered by the user, as well as continuous streams of data passively collected from sensors onboard the mobile device. ohmage has been used in a number of research health studies. Key challenges in these deployments are engaging participants to sustain data collection in long-lived campaigns, conserving battery power, and extracting accurate inferences from the collected streams. To address these challenges, we have incorporated feedback from hundreds of behavioral and technology researchers, focus group participants, and end-users of the system in an iterative design process. We summarize this rich feedback, and present the resulting system.