Salience of visual cues in 3D city maps

Timo Partala, Antti Nurminen, Teija Vainio, Jari Laaksonen, Miika Laine, Jukka Väänänen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

13 Citations (Scopus)

Abstract

An important activity in urban three-dimensional (3D) mobile navigation is browsing the buildings in the environment and matching them to those in the 3D city map. There are different factors affecting the recognition process such as changes in the appearances of buildings, weather, and illumination conditions. The current aim was to study the salience of different types of visual cues in the recognition of buildings in 3D maps in suboptimal conditions. A pilot laboratory experiment was conducted, in which test participants recognized buildings in a 3D city map using systematically prepared photographs as stimuli, and their cognitive processes were studied using the think aloud protocol. The results suggested that buildings in a 3D city map can be recognized based on a variety of different visual cues ranging from small details such as textual signs to the shape of the building and landmark features such as towers. The results also suggested that buildings are recognized relatively much based on their location and other buildings and objects in their surroundings. © 2010, the Authors.
Original languageEnglish
Title of host publicationThe 24th BCS Conference on Human Computer Interaction, University of Abertay Dundee (Great Britain, 6-10.2010
EditorsTom McEwan Lachlan Mackinnon
PublisherBCS, The Chartered Institute for IT
Pages428-432
Publication statusPublished - 2010
MoE publication typeA4 Conference publication
EventBritish Computer Society Conference on Human-Computer Interaction - Dundee, United Kingdom
Duration: 6 Sept 201010 Sept 2010

Conference

ConferenceBritish Computer Society Conference on Human-Computer Interaction
Abbreviated titleBCS-HCI
Country/TerritoryUnited Kingdom
CityDundee
Period06/09/201010/09/2010

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