• Playing with difficult objects: game designs for crowdsourcing museum metadata

    Author(s):
    Mia Ridge (see profile)
    Date:
    2011
    Group(s):
    Crowdsourcing
    Subject(s):
    Crowdsourcing, Games, Museums, Metadata, Human-computer interaction
    Item Type:
    Dissertation
    Institution:
    City, University of London
    Tag(s):
    ux, User experience, Collections
    Permanent URL:
    http://dx.doi.org/10.17613/kndx-zh86
    Abstract:
    This project explores the potential for casual browser-based games to help improve the quality of museum catalogue records. The project goal was to design and build casual yet compelling games that would have a positive impact on a practical level, helping improve the mass of 'difficult' – technical, near-duplicate, poorly catalogued or scantily digitised – records that make up the majority of many history museum collections. The project was successful in designing games that created improved metadata for 'difficult' objects from two science and history museum collections: Dora, a tagging game, and Donald, an experimental 'trivia' game that explored emergent game-play around longer forms of content that required some form of research or personal reference.
    Notes:
    City, University of London, School of Informatics, MSc in Human-Centred Systems
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    2 years ago
    License:
    All Rights Reserved

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