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Moodsource: Enabling Perceptual and Emotional Feedback from Crowds

Published: 28 February 2015 Publication History

Abstract

The emotional reaction of an audience to a design can be difficult to assess but valuable to know. Moodsource allows intuitive visual communication between crowds and designers. A crowd responds to a design with selections from image banks. Visual summarization reduces the massed image choices down to a few representative images to be consumed at a glance by designer users. In two studies crowd users reported their ability to express emotions with the Moodsource image browsers and with text. Cognitive styles theories suggest users can be visual or verbal thinkers; crowd users preferring images thought they could express emotions equally well with abstract images as with text. Designer users "reading" the visual feedback reported that it represented the perceived mood from their designs and were inspired to make improvements.

References

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Xu, A., Huang, S. W. and Bailey, B. P. Voyant: Generating Structured Feedback on Visual Designs Using a Crowd of Non-Experts. In Proc CSCW 2014, ACM (2014), 37--40.
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Padilla, S., Halley, F., Robb, D. and Chantler, M. J. Intuitive Large Image Database Browsing using Perceptual Similarity Enriched by Crowds. In Proc CAIP 2013, Springer (2013), 169--176.
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Cited By

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  • (2017)Image-based Emotion FeedbackProceedings of the 2017 Conference on Designing Interactive Systems10.1145/3064663.3064665(451-463)Online publication date: 10-Jun-2017
  • (2016)A Picture Paints a Thousand Words but Can it Paint Just One?Proceedings of the 2016 ACM Conference on Designing Interactive Systems10.1145/2901790.2901791(959-970)Online publication date: 4-Jun-2016

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    Published In

    cover image ACM Conferences
    CSCW'15 Companion: Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing
    February 2015
    350 pages
    ISBN:9781450329460
    DOI:10.1145/2685553
    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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    New York, NY, United States

    Publication History

    Published: 28 February 2015

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    Author Tags

    1. abstract
    2. crowdsourcing
    3. image browsing interfaces
    4. image summarization
    5. perceptual and emotional imagery
    6. visual design feedback

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    • Heriot-Watt University

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    CSCW '15
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    CSCW'15 Companion Paper Acceptance Rate 161 of 575 submissions, 28%;
    Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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    Cited By

    View all
    • (2017)Image-based Emotion FeedbackProceedings of the 2017 Conference on Designing Interactive Systems10.1145/3064663.3064665(451-463)Online publication date: 10-Jun-2017
    • (2016)A Picture Paints a Thousand Words but Can it Paint Just One?Proceedings of the 2016 ACM Conference on Designing Interactive Systems10.1145/2901790.2901791(959-970)Online publication date: 4-Jun-2016

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