Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Lecturer in Computer Science

Visualization, Modelling and
Graphics (VMG) research group,

School of Computer Science,
Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

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Five Design Sheets - A framework for prototyping information visualization interfaces through sketching

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Description

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).

 

  • J. C. Roberts, C. Headleand, and P. D. Ritsos, “Sketching Designs Using the Five Design-Sheet Methodology,” IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 1, pp. 419–428, Jan. 2016.
  • J. C. Roberts, C. J. Headleand, and P. D. Ritsos, Five Design-Sheets: Creative Design and Sketching for Computing and Visualisation. Springer, 2017.
  • J. C. Roberts, C. Headleand, and P. D. Ritsos, “Half-day Tutorial on Sketching Visualization designs, and using the Five Design-Sheet (FdS) Methodology in Teaching,” in Tutorials of at the IEEE Conference on Visualization (IEEE VIS 2017), Phoenix, AZ, USA, 2017.
  • J. C. Roberts, C. Headleand, and P. D. Ritsos, “Sketching Designs for Data-Visualization using the Five Design-Sheet Methodology,” in Tutorials of at the IEEE Conference on Visualization (IEEE VIS 2016), Baltimore, MD, USA, 2016.

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