An Evaluation of Interactive Map Comparison Techniques - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2015

An Evaluation of Interactive Map Comparison Techniques

Abstract

Geovisualization applications typically organize data into layers. These layers hold different types of geographical features, describe different characteristics of the same features, or represent those features at different points in time. Layers can be composited in various ways, most often employing a juxtaposition or superimposition strategy, to produce maps that users can explore interactively. From an HCI perspective, one of the main challenges is to design interactive compositions that optimize the legibility of the resulting map and that ease layer comparison. We characterize five representative techniques, and empirically evaluate them using a set of real-world maps in which we purposefully introduce six types of differences amenable to inter-layer visual comparison. We discuss the merits of these techniques in terms of visual interference, user attention and scanning strategy. Our results can help inform the design of map-based visualizations for supporting geo-analysis tasks in many application areas.
Fichier principal
Vignette du fichier
mapcomp-CHI15.pdf (3.01 Mo) Télécharger le fichier
mapcomp-CHI15-companion_video.mp4 (42.33 Mo) Télécharger le fichier
Vignette du fichier
mapcomp-CHI15_thumbnail.jpg (19.75 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Origin Files produced by the author(s)
Format Figure, Image
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01144163 , version 1 (21-04-2015)

Identifiers

Cite

María-Jesús Lobo, Emmanuel Pietriga, Caroline Appert. An Evaluation of Interactive Map Comparison Techniques. CHI 2015 - Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, ACM, Apr 2015, Seoul, South Korea. pp.3573-3582, ⟨10.1145/2702123.2702130⟩. ⟨hal-01144163⟩
776 View
1856 Download

Altmetric

Share

More