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Combining usability techniques to design geovisualization tools for epidemiology / Antony C. Robinson in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)  

Public [article]  inCartography and Geographic Information Science > vol 32 n° 4 (October 2005) . - pp 243 - 255 Titre : Combining usability techniques to design geovisualization tools for epidemiology Type de document : Article/Communication Auteurs : Antony C. Robinson, Auteur ; J. Chen, Auteur ; E.J. Lengerich, Auteur ; H.G. Meyer, Auteur ; Alan M. MacEachren, Auteur Année de publication : 2005 Article en page(s) : pp 243 - 255 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse spatio-temporelle [Termes IGN] épidémie [Termes IGN] exploration de données géographiques [Termes IGN] logiciel de visualisation [Termes IGN] outil d'aide à la décision [Termes IGN] visualisation de données Résumé : (Auteur) Designing usable geovisualization tools is an emerging problem in GIScience software development. We are often satisfied that a new method provides an innovative window on our data, but functionality alone is insufficient assurance that a tool is applicable to a problem in situ. As extensions of the static methods they evolved from, geovisualization tools are bound to enable new knowledge creation. We have yet to learn how to adapt techniques from interaction designers and usability experts toward our tools in order to maximize this ability. This is especially challenging because there is limited existing guidance for the design of usable geovisualization tools. Their design requires knowledge about the context of work within which they will be used, and should involve user input at all stages, as is the practice in any human-centered design effort. Toward that goal, we have employed a wide range of techniques in the design of ESTAT, an exploratory geovisualization toolkit for epidemiology. These techniques include : verbal protocol analysis, card-sorting, focus groups, and an in-depth case study. This paper reports the design process and evaluation results from our experience with the ESTAT toolkit. Numéro de notice : A2005-530 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304005775194700 En ligne : https://doi.org/10.1559/152304005775194700 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27666 [article]

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