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2014
DOI: 10.1179/1743277414y.0000000099
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How to Assess Visual Communication of Uncertainty? A Systematic Review of Geospatial Uncertainty Visualisation User Studies

Abstract: For decades, uncertainty visualisation has attracted attention in disciplines such as cartography and geographic visualisation, scientific visualisation and information visualisation. Most of this research deals with the development of new approaches to depict uncertainty visually; only a small part is concerned with empirical evaluation of such techniques. This systematic review aims to summarize past user studies and describe their characteristics and findings, focusing on the field of geographic visualisati… Show more

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Cited by 153 publications
(135 citation statements)
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“…However, this diversity does require greater consistency and detail in the reporting of method design (e.g. see Kinkeldey, MacEachren, & Schiewe, 2014;Smith, Retchless, & Klippel, 2016, for efforts to interpret the design of user studies on uncertainty visualization). Furthermore, although the expectations of rigor ultimately may vary across methods, our review of empirical cartographic research reveals a large amount of variation in study design even within a single method.…”
Section: Reenvisioning Basic Research On Interactive Maps and Visualimentioning
confidence: 99%
“…However, this diversity does require greater consistency and detail in the reporting of method design (e.g. see Kinkeldey, MacEachren, & Schiewe, 2014;Smith, Retchless, & Klippel, 2016, for efforts to interpret the design of user studies on uncertainty visualization). Furthermore, although the expectations of rigor ultimately may vary across methods, our review of empirical cartographic research reveals a large amount of variation in study design even within a single method.…”
Section: Reenvisioning Basic Research On Interactive Maps and Visualimentioning
confidence: 99%
“…A number of studies that present methods for quality visualisation have also studied their usability (Aerts et al, 2003;Cliburn et al, 2002;Fisher, 1993; Gershon, 1992;Kardos et al, 2006;Kinkeldey et al, 2014a;Lodha et al, 1996;MacEachren et al, 1998;Pang, 2001;Schweizer and Goodchild, 1992). In the following paragraphs, a number of guidelines for VGI quality visualisation in relation to user experience are discussed, once again taking the two main user profiles into account: the novice user and the expert user/scientist.…”
Section: Quality Visualisation Methods and Vgi Datamentioning
confidence: 99%
“…On the other hand, expert users prefer transparency or saturation (Kunz, 2011). In terms of user performance, Kinkeldey et al (2014a) conclude that colour saturation is not recommended, while colour hue and value as well as transparency (Senaratne et al, 2012), contours are considered the best method.…”
Section: Which Visual Variable To Use In Intrinsic Visualisationsmentioning
confidence: 99%
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“…Similarly, visual design has been found to influence emotional and behavioural responses to tornado warning maps (Ash et al 2014). Visualising and communicating uncertainty in geospatial data also remains an ongoing challenge across many different fields (Aerts et al 2003;Spiegelhalter et al 2011;Kinkeldey et al 2014). As work in volcanic hazard map design continues to evolve, it is important to consider lessons learned from research and experience in these diverse fields, and drawn upon them to help inform and guide investigations of volcanic hazard communication.…”
Section: Exploring and Testing Different Designsmentioning
confidence: 99%