%0 Conference Proceedings
%T Strategies for Detecting Difference in Map Line-Up Tasks
%+ Vienna University of Technology = Technische Universität Wien (TU Wien)
%+ University of Leeds
%+ City University London
%A Haider, Johanna, Doppler
%A Pohl, Margit
%A Beecham, Roger
%A Dykes, Jason
%Z Part 6: Information Visualization
%< avec comité de lecture
%@ 978-3-030-85612-0
%( Lecture Notes in Computer Science
%B 18th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Bari, Italy
%Y Carmelo Ardito
%Y Rosa Lanzilotti
%Y Alessio Malizia
%Y Helen Petrie
%Y Antonio Piccinno
%Y Giuseppe Desolda
%Y Kori Inkpen
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2021
%V LNCS-12934
%N Part III
%P 558-578
%8 2021-08-30
%D 2021
%R 10.1007/978-3-030-85613-7_36
%K Graphical inference
%K Cognitive strategies
%K Spatial autocorrelation
%K Geovisualization
%K Visual perception
%K Sensemaking
%K Thinking-aloud
%Z Computer Science [cs]Conference papers
%X The line-up task hides a plot of real data amongst a line-up of decoys built around some plausible null hypothesis. It has been proposed as a mechanism for lending greater reliability and confidence to statistical inferences made from data graphics. The proposition is a seductive one, but whether or not line-ups guarantee consistent interpretation of statistical structure is an open question, especially when applied to representations of geo-spatial data. We build on empirical work around the extent to which statistical structure can be reliably judged in map line-ups, paying particular attention to the strategies employed when making line-up judgements. We conducted in-depth experiments with 19 graduate students equipped with a moderate background in geovisualization. The experiments consisted of a series of map line-up tasks with two map designs: choropleth maps and a centroid-dot alternative. We chose challenging tasks in the hope of exposing participants’ sensemaking activities. Through structured qualitative analysis of think-aloud protocols, we identify six sensemaking strategies and evaluate their effects in making judgements from map line-ups. We find five sensemaking strategies applicable to most visualization types, but one that seems particular to map line-up designs. We could not identify one single successful strategy, but users adopt a mix of different strategies, depending on the circumstances. We also found that choropleth maps were easier to use than centroid-dot maps.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-04292386/document
%2 https://inria.hal.science/hal-04292386/file/520517_1_En_36_Chapter.pdf
%L hal-04292386
%U https://inria.hal.science/hal-04292386
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-12934