Literature DB >> 24051818

Creative user-centered visualization design for energy analysts and modelers.

Sarah Goodwin1, Jason Dykes, Sara Jones, Iain Dillingham, Graham Dove, Alison Duffy, Alexander Kachkaev, Aidan Slingsby, Jo Wood.   

Abstract

We enhance a user-centered design process with techniques that deliberately promote creativity to identify opportunities for the visualization of data generated by a major energy supplier. Visualization prototypes developed in this way prove effective in a situation whereby data sets are largely unknown and requirements open - enabling successful exploration of possibilities for visualization in Smart Home data analysis. The process gives rise to novel designs and design metaphors including data sculpting. It suggests: that the deliberate use of creativity techniques with data stakeholders is likely to contribute to successful, novel and effective solutions; that being explicit about creativity may contribute to designers developing creative solutions; that using creativity techniques early in the design process may result in a creative approach persisting throughout the process. The work constitutes the first systematic visualization design for a data rich source that will be increasingly important to energy suppliers and consumers as Smart Meter technology is widely deployed. It is novel in explicitly employing creativity techniques at the requirements stage of visualization design and development, paving the way for further use and study of creativity methods in visualization design.

Mesh:

Year:  2013        PMID: 24051818     DOI: 10.1109/TVCG.2013.145

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  5 in total

1.  Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs.

Authors:  Carolina Nobre; Nils Gehlenborg; Hilary Coon; Alexander Lex
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-03-06       Impact factor: 4.579

2.  Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization.

Authors:  G Elisabeta Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-08-29       Impact factor: 4.579

3.  Data Visualizations to Support Health Practitioners' Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study.

Authors:  Uba Backonja; Sarah C Haynes; Katherine K Kim
Journal:  JMIR Hum Factors       Date:  2018-10-16

4.  Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

Authors:  Jason Dykes; Alfie Abdul-Rahman; Daniel Archambault; Benjamin Bach; Rita Borgo; Min Chen; Jessica Enright; Hui Fang; Elif E Firat; Euan Freeman; Tuna Gönen; Claire Harris; Radu Jianu; Nigel W John; Saiful Khan; Andrew Lahiff; Robert S Laramee; Louise Matthews; Sibylle Mohr; Phong H Nguyen; Alma A M Rahat; Richard Reeve; Panagiotis D Ritsos; Jonathan C Roberts; Aidan Slingsby; Ben Swallow; Thomas Torsney-Weir; Cagatay Turkay; Robert Turner; Franck P Vidal; Qiru Wang; Jo Wood; Kai Xu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

5.  Graffinity: Visualizing Connectivity in Large Graphs.

Authors:  E Kerzner; A Lex; C L Sigulinsky; T Umess; B W Jones; R E Marc; M Meyer
Journal:  Comput Graph Forum       Date:  2017-07-04       Impact factor: 2.078

  5 in total

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