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    Sketching Designs Using the Five Design-Sheet Methodology

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    Authors
    Roberts, Jonathan C.
    Headleand, Christopher J.
    Ritsos, Panagiotis D.
    Affiliation
    University of Bangor, University of Bangor, University of Chester
    Publication Date
    2015-08-12
    
    Metadata
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    Abstract
    Sketching designs has been shown to be a useful way of planning and considering alternative solutions. The use of lo-fidelity prototyping, especially paper-based sketching, can save time, money and converge to better solutions more quickly. However, this design process is often viewed to be too informal. Consequently users do not know how to manage their thoughts and ideas (to first think divergently, to then finally converge on a suitable solution). We present the Five Design Sheet (FdS) methodology. The methodology enables users to create information visualization interfaces through lo-fidelity methods. Users sketch and plan their ideas, helping them express different possibilities, think through these ideas to consider their potential effectiveness as solutions to the task (sheet 1); they create three principle designs (sheets 2,3 and 4); before converging on a final realization design that can then be implemented (sheet 5). In this article, we present (i) a review of the use of sketching as a planning method for visualization and the benefits of sketching, (ii) a detailed description of the Five Design Sheet (FdS) methodology, and (iii) an evaluation of the FdS using the System Usability Scale, along with a case-study of its use in industry and experience of its use in teaching.
    Citation
    Roberts, J. C., Headleand, C., & Ritsos, P. D. (2015). Sketching Designs Using the Five Design-Sheet Methodology. IEEE Transactions on Visualization and Computer Graphics, 22(1), 419-428. doi: 10.1109/TVCG.2015.2467271
    Publisher
    IEEE
    Journal
    IEEE Transactions on Visualization and Computer Graphics
    URI
    http://hdl.handle.net/10034/579348
    DOI
    10.1109/TVCG.2015.2467271
    Additional Links
    https://ieeexplore.ieee.org/document/7192707/
    Type
    Article
    Language
    en
    Description
    Accepted for Publication in January 2016, now available as pre-print in IEEE Xplore
    ISSN
    1077-2626
    EISSN
    1941-0506
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVCG.2015.2467271
    Scopus Count
    Collections
    Computer Science

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