Gaze-Based Focus Adaption in an Information Visualization System

Abstract

As the complexity and amount of real world data continuously grows, modern visualization systems are changing. Traditional information visualization techniques are often not sufficient to allow an in-depth visual data exploration process. Multiple view systems combined with linking & brushing are only one building block of a successful InfoVis system. In this paper we propose the incorporation of cheap and simple gaze-based interaction. We employ the tracking information not for selecting data (i.e. mouse interaction) but for an intelligent adaption of 2D and 3D visualizations. Derived from the focus+context paradigm, we call this gaze-focus. The proposed methods are demonstrated by means of three different visualizations.

Citation

Marc Streit, Alexander Lex, Heimo Müller, Dieter Schmalstieg
Gaze-Based Focus Adaption in an Information Visualization System
Proceedings of the Conference on Computer Graphics and Visualization and Image Processing (CGVCVIP '09), 2009.

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