Analyzing eye movement patterns to improve map design

Recently, the use of eye tracking systems has been introduced in the field of cartography and GIS to support the evaluation of the quality of maps towards the user. The quantitative eye movement metrics are related to for example the duration or the number of the fixations which 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 suitable to investigate how users process, store and retrieve information from a (dynamic and/or) interactive map. This information is crucial to get insights in how users construct their cognitive map: e.g. is there a general search pattern on a map and which elements influence this search pattern, how do users orient a map, what is the influence of for example a pan operation. These insights are in turn crucial to be able to construct more effective maps towards the user, since the visualisation of the information on the map can be keyed to the user his cognitive processes. The study focuses on a qualitative and visual approach of the eye movement data resulting from a user study in which 14 participants were tested while working on 20 different dynamic and interactive demo-maps. Since maps are essentially spatial objects, the analysis of these eye movement data is directed towards the locations of the fixations, the visual representation of the scanpaths, clustering and aggregation of the scanpaths. The results from this study show interesting patterns in the search strategies of users on dynamic and interactive maps.

[1]  Gennady Andrienko,et al.  Novel Method to Measure Inference Affordance in Static Small-Multiple Map Displays Representing Dynamic Processes , 2008 .

[2]  Andrew T. Duchowski,et al.  Eye Tracking Methodology: Theory and Practice , 2003, Springer London.

[3]  Linden J. Ball,et al.  Eye Tracking in Human-Computer Interaction and Usability Research : Current Status and Future Prospects , 2004 .

[4]  Arzu Çöltekin,et al.  Evaluating the Effectiveness of Interactive Map Interface Designs: A Case Study Integrating Usability Metrics with Eye-Movement Analysis , 2009 .

[5]  Lars Brodersen,et al.  Applying eye-movement tracking for the study of map perception and map design , 2001 .

[6]  Daniel R. Montello,et al.  Cognitive Map-Design Research in the Twentieth Century: Theoretical and Empirical Approaches , 2002 .

[7]  Bin Jiang,et al.  Cognitive and Usability Issues in Geovisualization , 2001 .

[8]  K. Rayner Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[9]  Jeffrey Rubin,et al.  Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests , 1994 .

[10]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[11]  Claude Ghaoui,et al.  Encyclopedia of Human Computer Interaction , 2005 .

[12]  Dana Chisnell,et al.  Handbook of Usability Testing , 2009 .

[13]  Heiner Deubel,et al.  The mind's eye : cognitive and applied aspects of eye movement research , 2003 .

[14]  Gennady L. Andrienko,et al.  Spatial Generalization and Aggregation of Massive Movement Data , 2011, IEEE Transactions on Visualization and Computer Graphics.

[15]  Stefan Wrobel,et al.  Visual analytics tools for analysis of movement data , 2007, SKDD.

[16]  Tommy Strandvall,et al.  Eye Tracking in Human-Computer Interaction and Usability Research , 2009, INTERACT.

[17]  Natalia Adrienko,et al.  Spatial Generalization and Aggregation of Massive Movement Data , 2011 .