Facilitating Natural Flow of Information among “Taste-based” Groups

Tatsuo Nakajima, Satoshi Hirade, Yefeng Liu, Todorka Alexandrova

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)


    Social science studies have shown that the disconnection of people from different social classes or opinion groups may reinforce serious problems to our society (e.g., residential segregation, group polarization, or confirmation bias). With the emerging trend of the Web 2.0, however, different kinds of people are likely having less chance to share information with each other. How to design for supporting better information flow among different social, taste, or opinion groups of people becomes a challenging question for digital designers. In this work-in-progress paper we present our on-going research of exploring a crowd-based system for facilitating natural information flow among different types of people. We conducted a Wizard-of-OZ study to simulate push-based human powered recommendation, and learn how participants react when receiving unexpected information. Based on the findings, we designed and implemented a web application for encouraging different kinds of people to exchange information in a peer-to-peer way. Next steps include designing pairing strategy and conducting user study.

    Original languageEnglish
    Title of host publicationCHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems
    Subtitle of host publicationChanging Perspectives
    PublisherAssociation for Computing Machinery
    Number of pages6
    ISBN (Electronic)9781450318990
    Publication statusPublished - 2013 Apr 27
    Event31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 - Paris, France
    Duration: 2013 Apr 272013 May 2


    Other31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013


    • Crowdsourcing
    • Information Flow
    • Serendipity

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Graphics and Computer-Aided Design
    • Software

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