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- W58705871 abstract "In this paper we present our reimplementation of the Growing Neural Gas Sonification [1] for interactive surfaces such as our tDesk [4] or touch-capable tablet PCs. Growing Neural Gas (GNG) [3] is an undirected learning algorithm that incrementally ’grows’ a network graph into data distributions, revealing the data distributions’ intrinsic dimensionality and aspects of its structure. The GNG Sonification (GNGS) [1] provides a method to interactively explore the GNG during the growing process, utilizing a ModelBased Sonification (MBS) [2] to convey audible information about the data distribution in addition to the visualization. The goal of our reimplementation was to be able to rapidly grasp the structure of the sonified and visualized data, to give the user the ability to conduct direct A/B comparisons between different (or similar) clusters within a data distribution. The direct bi-manual interaction as well as a simplified full-screen touchable user interface helps to focus on the exploration of the GNG rather than the interaction itself. We present and discuss different interaction metaphors for the excitation of the model setup in this MBS." @default.
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- W58705871 date "2010-01-01" @default.
- W58705871 modified "2023-09-27" @default.
- W58705871 title "Growing Neural Gas Sonification Model for Interactive Surfaces" @default.
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