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A Circular Visualization Technique for Collaboration and Quantifying Self

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Published:07 June 2016Publication History

ABSTRACT

People awareness in various contexts has been widely considered in the literature. A form of awareness is the quantification of self, which requires a number of conditions to be implemented. The most important are: producing, computing and making sense of data. Sensors produce data at very high rates. A lot of research, in the field of data bases, has focused on how to store and compute data efficiently. Data presentation is still challenging, because the possibilities of producing interactive visualizations on the Web and on different devices are increasing. The contribution of this demo paper is to propose a visualization technique and a web-based tool enabling the visualization of personal data produced during the 24 hours of the day. The aim of this tool is to help people to understand their own behavior. Such data can also be compared with other people's data to improve the analysis. This demo focuses on two main contexts: visualizing working data of a group of people living in different time zones in order to improve the awareness of the behavior of the group; visualizing energy consumption data in order to provide an idea of the behavior of people in the domestic context. The data for the first example are gathered from the activity people perform with their computer (e.g. email, chat, keyboard strokes) while the data of the second context are gathered from a low-cost Arduino device capable of providing instant electricity consumption information.

References

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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

    Copyright © 2016 Owner/Author

    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: 7 June 2016

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    Qualifiers

    • demonstration
    • Research
    • Refereed limited

    Acceptance Rates

    AVI '16 Paper Acceptance Rate20of96submissions,21%Overall Acceptance Rate107of408submissions,26%

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