ReviewCollage

A mobile interface for direct comparison using online reviews

Haojian Jin, Tetsuya Sakai, Koji Yatani

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

    2 Citations (Scopus)

    Abstract

    Review comments posted in online websites can help the user decide a product to purchase or place to visit. They can also be useful to closely compare a couple of candidate entities. However, the user may have to read different webpages back and forth for comparison, and this is not desirable particularly when she is using a mobile device. We present ReviewCollage, a mobile interface that aggregates information about two reviewed entities in a one-page view. ReviewCollage uses attribute-value pairs, known to be effective for review text summarization, and highlights the similarities and differences between the entities. Our user study confirms that ReviewCollage can support the user to compare two entities and make a decision within a couple of minutes, at least as quickly as existing summarization interfaces. It also reveals that ReviewCollage could be most useful when two entities are very similar.

    Original languageEnglish
    Title of host publicationMobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services
    PublisherAssociation for Computing Machinery, Inc
    Pages349-358
    Number of pages10
    ISBN (Print)9781450327718
    DOIs
    Publication statusPublished - 2014 Sep 23
    Event16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2014 - Toronto
    Duration: 2014 Sep 232014 Sep 26

    Other

    Other16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2014
    CityToronto
    Period14/9/2314/9/26

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    Mobile devices
    Websites

    Keywords

    • Comparison
    • Mobile interface
    • Natural language processing
    • Summarization
    • User-generated review

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Human-Computer Interaction
    • Electrical and Electronic Engineering

    Cite this

    Jin, H., Sakai, T., & Yatani, K. (2014). ReviewCollage: A mobile interface for direct comparison using online reviews. In MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 349-358). Association for Computing Machinery, Inc. https://doi.org/10.1145/2628363.2628373

    ReviewCollage : A mobile interface for direct comparison using online reviews. / Jin, Haojian; Sakai, Tetsuya; Yatani, Koji.

    MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc, 2014. p. 349-358.

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

    Jin, H, Sakai, T & Yatani, K 2014, ReviewCollage: A mobile interface for direct comparison using online reviews. in MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc, pp. 349-358, 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2014, Toronto, 14/9/23. https://doi.org/10.1145/2628363.2628373
    Jin H, Sakai T, Yatani K. ReviewCollage: A mobile interface for direct comparison using online reviews. In MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc. 2014. p. 349-358 https://doi.org/10.1145/2628363.2628373
    Jin, Haojian ; Sakai, Tetsuya ; Yatani, Koji. / ReviewCollage : A mobile interface for direct comparison using online reviews. MobileHCI 2014 - Proceedings of the 16th ACM International Conference on Human-Computer Interaction with Mobile Devices and Services. Association for Computing Machinery, Inc, 2014. pp. 349-358
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