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User preference for an IoT healthcare application for lifestyle disease management

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  • Kim, Suwon
  • Kim, Seongcheol

Abstract

The current convergence between information and communications technology (ICT) and medical fields reflects a shared vision of seamlessly connected sensors and devices that can improve healthcare services, and an expectation of the emergence of Internet of Things (IoT) healthcare. This study provides a relevant guide for IoT healthcare service developers, from the perspective of the technology user. Particularly, we propose critical factors that will potentially influence users’ acceptance of an IoT lifestyle disease management service. Information on the profession of service providers, task scope, devices, expert support, and a range of shared personal medical data were suggested as important attributes. Conjoint analysis was adopted to estimate the relative importance of proposed attributes and preferences for service specifications. Data and medical history were collected from 435 respondents. The model was analyzed and compared between the groups with different medical histories, respectively. The results showed that potential users, in general, require a safe and trustworthy healthcare service, rather than greater functionality, while medical history has a considerable influence on the perceived importance of the proposed attributes.

Suggested Citation

  • Kim, Suwon & Kim, Seongcheol, 2018. "User preference for an IoT healthcare application for lifestyle disease management," Telecommunications Policy, Elsevier, vol. 42(4), pages 304-314.
    • Handle: RePEc:eee:telpol:v:42:y:2018:i:4:p:304-314
    DOI: 10.1016/j.telpol.2017.03.006
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    References listed on IDEAS

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    2. Jérôme COUTURIER & Davide SOLA & Giovanni SCARSO BORIOLI & Cristina RAICIU, 2012. "How Can the Internet of Things Help to Overcome Current Healthcare Challenges," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(87), pages 67-81, 3rd quart.
    3. Kim, Suwon & Kim, Seongcheol, 2016. "A multi-criteria approach toward discovering killer IoT application in Korea," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 143-155.
    4. Jayson L. Lusk & F. Bailey Norwood, 2005. "Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 771-785.
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    Cited by:

    1. Carolina Del-Valle-Soto & Juan Arturo Nolazco-Flores & Jose Alberto Del Puerto-Flores & Ramiro Velázquez & Leonardo J. Valdivia & Julio Rosas-Caro & Paolo Visconti, 2022. "Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm," IJERPH, MDPI, vol. 19(16), pages 1-29, August.
    2. Leonardo J. Gutierrez & Kashif Rabbani & Oluwashina Joseph Ajayi & Samson Kahsay Gebresilassie & Joseph Rafferty & Luis A. Castro & Oresti Banos, 2021. "Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management," IJERPH, MDPI, vol. 18(3), pages 1-19, February.
    3. Badran, Mona Farid, 2019. "eHealth in Egypt: The demand-side perspective of implementing electronic health records," Telecommunications Policy, Elsevier, vol. 43(6), pages 576-594.

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