Attention-guiding geovisualisation

This work tends to enhance the visualisation of relevant geographic information by proposing a conceptual framework for the development of attention-guiding geovisualisation. The main challenge is to stimulate a users decision-making and to reduce the cognitive workload by pro-viding high responsiveness in specific visual brain areas that are involved in visual geographic information processing. Based on theories and research findings in GIScience and cognitive neuropsychology the research basis of this work is formed by combining utility and usability issues of system engineering. The evaluation results of the eye movement recording reveal that the proposed attention-guiding design approach significantly enhances visual geographic information processing and contribute to the overall acceptability of geographic information systems and geovisualisations that are needed for fast and accurate decision-making processes.

[1]  J. Wolfe,et al.  What attributes guide the deployment of visual attention and how do they do it? , 2004, Nature Reviews Neuroscience.

[2]  M. Davidson,et al.  Neurochemistry of attention. , 1998 .

[3]  Alan M. MacEachren,et al.  A Comparison of Animated Maps with Static Small-Multiple Maps for Visually Identifying Space-Time Clusters , 2006 .

[4]  T. Reichenbacher,et al.  Saliente Visualisierung relevanter Geoinformation , 2006 .

[5]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[6]  R. Born,et al.  Segregation of Object and Background Motion in Visual Area MT Effects of Microstimulation on Eye Movements , 2000, Neuron.

[7]  H. E. Petersen,et al.  The Relative Importance of Contrast and Motion in Visual Detection , 1972, Human factors.

[8]  R. Desimone,et al.  Visual properties of neurons in area V4 of the macaque: sensitivity to stimulus form. , 1987, Journal of neurophysiology.

[9]  Thomas W. Calvert,et al.  Moticons: : detection, distraction and task , 2003, Int. J. Hum. Comput. Stud..

[10]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[11]  Tumasch Reichenbacher,et al.  The concept of relevance in mobile maps , 2007, Location Based Services and TeleCartography.

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

[13]  S. Ullman High-Level Vision: Object Recognition and Visual Cognition , 1996 .