Geovisualization displays; 3D visualization; Gaze contingent displays; Foveation; Area of Interest Management; human-computer interaction; area of; interest management
BektasKenan (2018), GeoGCD: Geographic Gaze Contingent Display, in Proceedings of the 3rd International Workshop on Eye Tracking for Spatial Research
, ZurichETH, Zurich.
BektasKenan, ÇöltekinArzu, KruegerJens, DuchowskiAndrew (2015), A testbed combining visual perception models for geographic gaze contingent displays, in Eurographics Conference on Visualization (EuroVis) - Short Papers
, Cagiliari, ItalyThe Eurographics Association, Hannover.
Bernasocchi Marco, Coltekin Arzu, Gruber Stephan, An open source geovisual analytics toolbox for multivariate spatio-temporal data for environmental change modeling, in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, I(2), 123-128.
Bektas Kenan, Coltekin Arzu, Straumann Ralph, A survey of true 3D and raster level of detail management support in GIS, in Manfred Buchroithner (ed.), Springer, Berlin Heidelberg, 43-65.
Coltekin A., Clarke K., A representation of everything, in Geospatial Today
Bektas K., Coltekin A., An approach to modeling spatial perception for geovisualization, in Procedia - Social and Behavioral Sciences
, 21, 53-62.
Bektas Kenan, Coltekin Arzu, Area of interest based interaction and geovisualization with WebGL, in In Proceedings of The Graphical Web Conference.
, Zurich, Switzerland.
Coltekin Arzu, Reichenbacher Tumasch, High Quality Geographic Services and Bandwidth Limitations, in Future Internet
, 3(4), 379-396.
Tuggener Stephanie, Coltekin Arzu, Fabrikant Sara Irina, Mobility and social inequality: exploring the nexus by the means of sequence analysis and geovisualisation, in Proceedings of International Symposium Masculine/feminine: Geographical Dialogues and Beyond
, Grenoble, France.
Russo Patrizia, Coltekin Arzu, Thieme Susan, Bayliss Christopher, The migration story of a Kyrgyz family father - a mixed media approach
Nussbaum M., Ettlin L., Coltekin A., Suter B., Egli M., The Relevance of Scale in Soil Maps, in BGS Bulletin
, 32, 63-70.
Kuhn M., Pfister S., Vontobel I., De Sabbata S., Coltekin A., TIMELINE: A Tool for the Video Analysis and Visualisation of Geographic Phenomena over Time, in Proceedings of the 25th International Cartographic Conference
, Paris, France, 3–8 July 2011 ICC, ISBN 978-1-907075-05-6 , Paris, France.
With this proposal we seek a two-year extension of a previously SNF-funded two-year project titled “Development and implementation of Geofoveation (GeoF)” (please note that the original title was “Geofoveation and Viewer Response to Foveated Displays” in the first application). The first portion of this project has an initial duration of two years (01.01.2009 - 01.01.2011). Geographic data is essentially large and complex, and on a geovisualization display often only selected features are visualized. We propose to investigate biological limits of human vision as a means to reduce the displayed information in geovisualization displays and develop methods to compress large geographic datasets by selectively removing or simplifying what is essentially not perceived by the human visual system (HVS). While the conceptual development is generic to all types of geovisualization displays and belongs to first the two years of this project (GeoF), the focus of this project will be on three-dimensional (3D) stereoscopic gaze contingent displays (GCD) and will be implemented under the framework of GeoF-II. In the proposed research we intend to continue the research that was started with GeoF, develop the concept further and implement, test and validate the proposed concepts. We conceptualize viewers’ gaze as an input modality via an eye tracking device, which provides the location of a continuously changing area of interest (AOI) over a discrete space (a geovisualization display). As the dynamic AOI moves, the display is rendered in a non-uniform manner where the center is rendered in high resolution, and periphery in gradually lower resolutions in 3D space. This rendering matches with the HVS’s natural boundaries, creating foveated GCDs. We hypothesize that efficient data management and visualization for complex geographic datasets do not only depend on cartographic, cognitive and contextual principles, but also have to consider perceptual limits of the HVS based on its biological configuration. To assess this hypothesis, our research program is based on a set of interdependent research questions, involving the development of a conceptual framework for geofoveation and supported by design, analysis and performance evaluation of implemented GCDs via a test bed (software).This project will be carried out over two years. Modest resources are required to continue employing a PhD student, to enable one collaborative visit by the student to one of the partner institutions, to further test and validate the results with an autostereoscopic display, and to support conference attendances to disseminate research findings.The results of the proposed work is firstly aimed at providing a better understanding of limitations of human vision for modeling geovisualization-specific GCDs, and secondly designing and implementing a modular software that contain novel algorithms for comparison and validation of HVS-based geographic data visualization approaches. Resulting concepts, models, methods and tools should be generic enough to be used for all types of geovisualization displays (e.g., cartographic products, 3D city models, 3D terrain models, scenario-based simulations). We expect that stereoscopic GCDs will attract attention also from other domains where stereoscopic displays and applications are relevant (e.g., surgery, films and animations, gaming).In summary, this interdisciplinary research project will have two key outcomes:•To identify the features and limitations of human visual system that can help with more efficient management and representation of geovisualizations (GeoF)•To design, develop and implement a test bed integrating multiple methods for comparative testing of biologically inspired mono- and stereoscopic visualizations for geographic data (GeoF II)