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Habito News: A research tool to investigate mobile news reading

Published: 24 August 2015 Publication History

Abstract

This demonstration paper accompanies a paper accepted at MobileHCI'15 [1]. With the aim of enhancing news reading experience on smartphones, we developed and deployed Habito News, a dedicated Android news app capable of unobtrusive logging of news interactions and recognising patterns of user's news reading behaviour. Interaction traces collected with Habito News can first be used to detect the user's news reader type and then to adapt the news reading app displays and behavior in response to individual patterns of user's interaction. In this demo, we present the app's logging capabilities, the automatic detection of news reader types and the three different user interface designs for different news reader types.

Reference

[1]
Constantinides, M., Dowell, J., Johnson, D., Malacria, S. Exploring mobile news reading interactions for news app personalisation. In Proc. MobileHCI 2015.

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  1. Habito News: A research tool to investigate mobile news reading

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    Published In

    cover image ACM Conferences
    MobileHCI '15: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
    August 2015
    697 pages
    ISBN:9781450336536
    DOI:10.1145/2786567
    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: 24 August 2015

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    Author Tags

    1. Adaptive mobile user interfaces
    2. News apps
    3. News reading
    4. Personalisation

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    • Demonstration
    • Research
    • Refereed limited

    Funding Sources

    • EPSRC

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    MobileHCI '15
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 202 of 906 submissions, 22%

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