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End-User Development for Lifelogging and eWellness

Published: 07 June 2016 Publication History

Abstract

Thanks to pervasiveness and mobility of wearable Internet of Things tools, we are witnessing the emergence of a new research and development domain: the eWellness. Together with this, new challenges arise, and ask for effective methods and techniques to improve the way extraction, merge, analysis, visualization, and data sharing are currently managed. In this paper, we present our research on End-User Development for the eWellness domain and in particular the design and development of the SmartFit framework.

References

[1]
Sadri, F. 2011. Ambient intelligence: A survey. ACM Computing Surveys 43, 4, 1--66.
[2]
Barricelli, B.R. and Valtolina, S. 2015. Designing for End-User Development in the Internet of Things. In Proc. IS-EUD 2015, Springer LNCS 9083, 9--24.
[3]
Lieberman, H., Paternò, F., Klann, M., and Wulf, V. 2006. End-User Development: An Emerging Paradigm. In End-User Development. Springer, 1--8.

Cited By

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  • (2017)An End-User Development Framework to Support Quantified Self in Sport TeamsNew Perspectives in End-User Development10.1007/978-3-319-60291-2_16(413-432)Online publication date: 11-Aug-2017

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Published In

cover image ACM Conferences
AVI '16: Proceedings of the International Working Conference on Advanced Visual Interfaces
June 2016
400 pages
ISBN:9781450341318
DOI:10.1145/2909132
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2016

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Author Tags

  1. Internet of Things
  2. eWellness
  3. end-user development
  4. lifelogging
  5. sociotechnical design

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  • Research
  • Refereed limited

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AVI '16

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AVI '16 Paper Acceptance Rate 20 of 96 submissions, 21%;
Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

View all
  • (2017)An End-User Development Framework to Support Quantified Self in Sport TeamsNew Perspectives in End-User Development10.1007/978-3-319-60291-2_16(413-432)Online publication date: 11-Aug-2017

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