Designing Wearable Device-Based Product and Service Ecosystem

  • Xiaohua SunEmail author
  • Yongqi Lou
  • Tong Li
  • Qi Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9180)


In the design of wearable device, the focus is normally put on the device itself and functions serving individual users. However, as a product widely spread out over a large population, the consolidated data collected from the devices could be used to bring to users functions or services far beyond personal scope and increase the value of services for individual users as well. When the focus of design is switched from individual product to the overall landscape involving large amount of devices, a central data platform, and services supported by the data platform, a systematic planning of the working mechanism and services at both individual and social level become possible as the result of the scope expansion. We introduce in this paper our in-depth analysis of key issues involved in the design in this new type of ecosystem. Specifically, we use E-Wearable, a wearable device-based platform for environment protection and environmental information service to exemplify the concepts and methods we propose.


Wearable device Social innovation Environmental information service Environment protection 



This work was supported in part by the Fundamental Research Funds for the Central Universities in China (0600219044) and the Grant from the International Cooperation Project of Ministry of Science and Technology (2012DFG10280).


  1. 1.
    Alepis, E., Virvou, M., Kabassi, K.: Location based user modeling in adaptive mobile learning for environmental awareness. In: ICSOFT, vol. 1, pp. 214–217 (2011)Google Scholar
  2. 2.
    Boulos, M.N.K., Resch, B., Crowley, D.N., et al.: Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples. Int. J. Health Geogr. 10(1), 67 (2011)CrossRefGoogle Scholar
  3. 3.
    Ciepluch, B., Mooney, P., Jacob, R., et al.: Using openstreetmap to deliver location-based environmental information in ireland. SIGSPATIAL Spec. 1(3), 17–22 (2009)CrossRefGoogle Scholar
  4. 4.
    Frog Design: Mobile Ecosystems Evolving. Aricent Group, Redwood (2013)Google Scholar
  5. 5.
  6. 6.
    Kanhere, S.S.: Participatory sensing: crowdsourcing data from mobile smartphones in urban spaces. In: Proceedings of 2011 12th IEEE International Conference on Mobile Data Management (MDM), pp. 3–6, Luleå, Sweden, 6–9 June 2011. doi: 10.1109/MDM.2011.16
  7. 7.
    Saenz, A.: Japan’s nuclear woes give rise to crowd-sourced radiation maps in Asia and US. Accessed 24 Mar 2011
  8. 8.
    Sense Your City.
  9. 9.
    Stevens, M., D’Hondt, E.: Crowdsourcing of pollution data using smartphones. In: Workshop on Ubiquitous Crowdsourcing (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.College of Design and InnovationTongji UniversityShanghaiChina
  2. 2.Eindhoven University of TechnologyEindhovenThe Netherlands

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