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Development of a Lifelogs-Based Daily Wellness Score to Advance a Smart Wellness Service

Author

Listed:
  • Ki-Hun Kim

    (Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673 Republic of Korea)

  • Kwang-Jae Kim

    (Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk 37673 Republic of Korea)

  • Chiehyeon Lim

    (School of Management Engineering and School of Business Administration, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea)

  • Jun-Yeon Heo

    (UX Center, Corporate Design Center, Samsung Electronics, Seoul 06765, Republic of Korea)

Abstract

Smart wellness services collect various types of lifelogs such as walking steps and sleep duration via smart devices. However, most of the existing smart wellness services focus on displaying each individual lifelog to users through graphs and charts. Therefore, they have limitations on supporting overall and easy understanding of various lifelogs. A lifelogs-based daily wellness score (LDWS) is a useful tool to resolve such limitations. LDWS combines the lifelogs into a score to represent an overall level of daily health behaviors, thus supporting overall and easy health behavior monitoring of users. This research developed LDWS as part of developing a smart wellness service for college students (SWSCS) in collaboration with an IT company. Lifelogs of 41 college students were collected through a four-week pilot run of SWSCS and were subsequently fitted to a random effects model. Based on the model estimates, LDWS was determined by linearly aggregating seven behavior variables. The utility of the developed LDWS was validated through a second pilot run of SWSCS. This paper also discusses the potential use of LDWS for SWSCS and the factors to be considered in the development of a lifelogs-based wellness score for a smart wellness service. This research is expected to contribute to advancing smart wellness services with lifelogs.

Suggested Citation

  • Ki-Hun Kim & Kwang-Jae Kim & Chiehyeon Lim & Jun-Yeon Heo, 2018. "Development of a Lifelogs-Based Daily Wellness Score to Advance a Smart Wellness Service," Service Science, INFORMS, vol. 10(4), pages 408-422, December.
    • Handle: RePEc:inm:orserv:v:10:y:2018:i:4:p:408-422
    DOI: serv.2018.0216
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    References listed on IDEAS

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    Cited by:

    1. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

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