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Towards Interaction Techniques for Social Media Data Exploration on Large High-Resolution Displays

Published: 06 May 2017 Publication History

Abstract

Exploring large geolocated social media datasets is now an important task in many pursuits e.g. crisis response. Yet there is still a lack of effective methods to view and interact with large amounts spatially-disturbed user-generated content. In this work, we explore interaction techniques for an extended version of ScatterBlogs - an interactive application for exploring massive twitter datasets on large high-resolution displays. We designed an interaction technique that employs multiple tablets to enable multiple users to effectively manipulate geolocated twitter massages on a large screen. In a preliminary user study, we compared our technique with using a desktop computer. Results indicate that the technique offers superior performance and user experience. In future work, we will explore how our technique can enhance the user experience of interacting with analytics applications.

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    cover image ACM Conferences
    CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2017
    3954 pages
    ISBN:9781450346566
    DOI:10.1145/3027063
    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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    Published: 06 May 2017

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    Author Tags

    1. interaction patterns
    2. large-high resolution displays
    3. multidisplay environment
    4. social media

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    • European Community's H2020 Program under the funding scheme FETPROACT- 1-2014: Global Systems Science (GSS)

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    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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