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Multi-screen Patterns and Multi-device Experiences in a Multi-screen Ecosystem

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Book cover Advances in Computer Science and Ubiquitous Computing (CUTE 2017, CSA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 474))

Abstract

With the advent of smart devices, such as smartphone, smart TV, and tablet PC, users own multiple devices and want to use those devices simultaneously or use an appropriate device for their circumstances. In this study, a multi-screen ecosystem is considered, in which users can utilize screens of multiple devices simultaneously to use convergence services and can interact with multiple screens for better user experience. In addition, the service experiences and patterns in a multi-device ecosystem were investigated, in which various smart devices cooperate according to users behavior and needs. Finally, web-based service interaction and migration platform for seamlessly migrating web services in a multi-device ecosystem were discussed.

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References

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Acknowledgments

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MOE: Ministry of Education): (NRF-20171D1A1B03035074).

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Authors and Affiliations

  1. Game Engineering Major, Dong-Eui University, 176 Eomgwang-no BusanJin-Gu, Busan, 47340, Korea

    Geun-Hyung Kim

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  1. Geun-Hyung Kim
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Corresponding author

Correspondence to Geun-Hyung Kim .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Department of Business Science, University of Salerno, Salerno, Italy

    Vincenzo Loia

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Gangman Yi

  4. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Yunsick Sung

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Cite this paper

Kim, GH. (2018). Multi-screen Patterns and Multi-device Experiences in a Multi-screen Ecosystem. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_168

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_168

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7604-6

  • Online ISBN: 978-981-10-7605-3

  • eBook Packages: EngineeringEngineering (R0)

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