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Naïve Cartography

How Intuitions about Display Configuration Can Hurt Performance

Bibliographic Data

ID14701469
AuthorsMary Hegarty (0000-0002-7777-8844, Department of Psychology / University of California / Santa Barbara / CA / USA, corresponding author), Harvey S Smallman (Pacific Science and Engineering Group / San Diego / CA / USA), Andrew T Stull (0000-0001-8168-8748, Department of Psychology / University of California / Santa Barbara / CA / USA), Matt S Canham (Central Oregon Community College)
Year2009
Volume44
Issue3
Pages171-186
Publication date2009-09-01
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/carto.44.3.171
OpenAlexW2125811218
LanguageEN
Citations received28
References cited18

Map-making has traditionally been the domain of professional cartographers, but with the advent of interactive display systems, users now have the flexibility to create and configure their own digital maps and other visual displays. This flexibility can be beneficial only if users have good intuitions about which display configurations are effective or ineffective for different tasks. Here we examine people's intuitions about display effectiveness and whether these intuitions match the actual effectiveness of different displays. Surveys of undergraduate students and post-graduate meteorology students reveal that they consistently prefer enhanced displays, especially those that add animation and realism. These naïve intuitions contrast with the principles of cartography, which emphasize the importance of abstracting from the real world to create simple displays that make task-relevant information salient. Both a review of objective studies and a new study presented here support traditional principles of cartography and are inconsistent with naïve intuitions. We interpret these studies in relation to new theoretical notions of users’ folk fallacies about how perception works, and derive implications for the design of interactive display systems and education

Animation · Art · Computer graphics (images · Contrast (vision · Domain (mathematical analysis · Flexibility (engineering · Human–computer interaction · Multimedia · Perception · Realism · Relation (database · Salient · Visual arts · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Mathematics · Psychology · Spatial Cognition and Navigation · Artificial Intelligence

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Citations per year1.75
Citation span2010 - 2025 (16)
Highly citedNo

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