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Personal Service Eco-Environment (PSE2): A User-Centric Services Computing Paradigm

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Exploring Services Science (IESS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 247))

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Abstract

Compared with manufacturing industries, service industries have a distinct characteristic called “heterogeneity”, i.e., there is a wide variation in service offerings to different customers due to their individualized demands. Traditional resource-centric services computing paradigm tries to make use of mass customization approaches to fulfill customer demands in a cost-effective way, but sacrifices the personalization degree and decreases customer satisfaction. We propose a user-centric paradigm called “Personal Service Eco-Environment (PSE2)” which plays as a “personal assistant” of each user. PSE2 is composed of personal data, services, and social relations around a user, and fully-personalized service/social collaboration solutions are to be planned on the basis of the individualized characteristics extracted from his personal data and the dynamic multi-end context. This paper introduces the high-level architecture and design philosophy of PSE2.

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Notes

  1. 1.

    http://www.healthit.gov/patients-families/your-health-data.

  2. 2.

    https://www.data.gov/consumer/smart-disclosure-policy.

  3. 3.

    https://www.gov.uk/government/news/the-midata-vision-of-consumer-empowerment.

  4. 4.

    http://mesinfos.fing.org/english.

  5. 5.

    http://myeyesonlyapp.com.

  6. 6.

    http://openmhealth.org.

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Acknowledgment

Work in this paper is funded by the Natural Science Foundation of China (No. 61272187, 61472106) and the Key Project of Science and Technology Development of Shandong Province, China (No. 2015ZDXX0201B02).

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Correspondence to Zhongjie Wang .

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Wang, Z., Chu, D., Xu, X. (2016). Personal Service Eco-Environment (PSE2): A User-Centric Services Computing Paradigm. In: Borangiu, T., Dragoicea, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2016. Lecture Notes in Business Information Processing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-32689-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-32689-4_11

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  • Online ISBN: 978-3-319-32689-4

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