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Echo: the editor's wisdom with the elegance of a magazine

Published: 24 June 2013 Publication History

Abstract

The explosive growth of user generated content, along with the continuous increase in the amount of traditional sources of content, has made it extremely hard for users to digest the relevant pieces of information that they need to pay attention to in order to make sense of their needs. Thus, solutions are needed to help both professionals (e.g lawyers, analysts, economists) and ordinary users navigate this flood of information. We present a novel interaction model and system called Echo which uses machine learning techniques to traverse a corpus of documents and distill crucial opinions from the collective intelligence of the crowd. Based on this analysis, Echo creates an intuitive and elegant interface, as though constructed by an editor, that allows users to quickly find salient documents and opinions, all powered by the wisdom of the crowd. The Echo UI directs the user's attention to critical opinions using a natural magazine style metaphor, with visual call outs and other typographic changes. Therefore, this paper present two key contributions (an algorithm and interaction model) that allow a user to "read as normal," while focusing her attention on the important opinions within documents, and showing how these opinions relate to those of the crowd.

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  • (2019)Using text mining for personalization and recommendation for an enriched hybrid learning experienceComputational Intelligence10.1111/coin.1220135:2(336-370)Online publication date: 22-Apr-2019
  • (2015)To print or not to printProceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/2774225.2774837(206-215)Online publication date: 23-Jun-2015
  • (2014)TruncationProceedings of the 2014 ACM symposium on Document engineering10.1145/2644866.2644869(165-174)Online publication date: 16-Sep-2014
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    cover image ACM Conferences
    EICS '13: Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
    June 2013
    356 pages
    ISBN:9781450321389
    DOI:10.1145/2494603
    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 ACM 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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    Publication History

    Published: 24 June 2013

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    Author Tags

    1. alignment
    2. call out
    3. collective intelligence
    4. documents
    5. economics of attention
    6. opinions
    7. reading
    8. typography

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    EICS '13 Paper Acceptance Rate 20 of 86 submissions, 23%;
    Overall Acceptance Rate 73 of 299 submissions, 24%

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    View all
    • (2019)Using text mining for personalization and recommendation for an enriched hybrid learning experienceComputational Intelligence10.1111/coin.1220135:2(336-370)Online publication date: 22-Apr-2019
    • (2015)To print or not to printProceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/2774225.2774837(206-215)Online publication date: 23-Jun-2015
    • (2014)TruncationProceedings of the 2014 ACM symposium on Document engineering10.1145/2644866.2644869(165-174)Online publication date: 16-Sep-2014
    • (2014)PaginationProceedings of the 2014 ACM symposium on Document engineering10.1145/2644866.2644867(147-156)Online publication date: 16-Sep-2014
    • (2014)AttachMateProceedings of the 27th annual ACM symposium on User interface software and technology10.1145/2642918.2647419(107-116)Online publication date: 5-Oct-2014
    • (2014)OdinProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2556288.2556959(1525-1534)Online publication date: 26-Apr-2014

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