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UbiMI'17: ubiquitous mobile instrumentation

Published: 11 September 2017 Publication History

Abstract

Mobile devices (smartphones, smartwatches, etc.) allow us to reach people anywhere, anytime. Collectively, these devices form a ubiquitous computer that offers valuable insights on the user. In addition to the benefits for researchers and developers, explored in previous UbiMI workshops, devices can also help individuals understand their own health, activities, and behaviour. The Ubiquitous Mobile Instrumentation (UbiMI) workshop focuses on using mobile devices as instruments to collect sensing data, to understand human-behaviour and routines, and to gather users' context using sensor instrumentation.

References

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Parvin J. Asadzadeh, John Rooksby and Matthew Chalmers. 2016. Investigating how users engage with a pedometer app. In Proceedings of the 2016 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, ACM.
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Alexandre De Masi, Matteo Ciman, Mattia Gustarini and Katarzyna Wac. 2016. mQoL Smart Lab: Quality of Life Living Lab for Interdisciplinary Experiments. In Proceedings of the 2016 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, ACM.
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Daniela Escobar, María Prato, Javier Bustos-Jímenez and Andrés Lucero. 2016. Mobile Information Visualization Design of Adkintun Mobile App. In Proceedings of the 2016 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, ACM.
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    cover image ACM Conferences
    UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
    September 2017
    1089 pages
    ISBN:9781450351904
    DOI:10.1145/3123024
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 11 September 2017

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    Author Tags

    1. computing
    2. context-aware
    3. experiments
    4. frameworks
    5. instrumentation
    6. middleware
    7. mobile
    8. ubiquitous
    9. user studies

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