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  • 标题:Analysing Eye Movement Patterns to Improve Map Design
  • 本地全文:下载
  • 作者:Kristien Ooms ; Philippe De Maeyer ; Veerle Fack
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII Part 4
  • 出版社:Copernicus Publications
  • 摘要:Recently, the use of eye tracking systems has been introduced in the field of cartography and GIS to support the evaluation of the qualityof maps towards the user. The quantitative eye movement metrics are related to for example the duration or the number of the fixationswhich are subsequently (statistically) compared to detect significant differences in map designs or between different user groups. Hence,besides these standard eye movement metrics, other - more spatial - measurements and visual interpretations of the data are more suitableto investigate how users process, store and retrieve information from a (dynamic and/or) interactive map. This information is crucial toget insights in how users construct their cognitive map: e.g. is there a general search pattern on a map and which elements influence thissearch pattern, how do users orient a map, what is the influence of for example a pan operation. These insights are in turn crucial to beable to construct more effective maps towards the user, since the visualisation of the information on the map can be keyed to the user hiscognitive processes. The study focuses on a qualitative and visual approach of the eye movement data resulting from a user study inwhich 14 participants were tested while working on 20 different dynamic and interactive demo-maps. Since maps are essentially spatialobjects, the analysis of these eye movement data is directed towards the locations of the fixations, the visual representation of thescanpaths, clustering and aggregation of the scanpaths. The results from this study show interesting patterns in the search strategies ofusers on dynamic and interactive maps
  • 关键词:map design; eye tracking; qualitative analyses
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