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Adaptive Visualization

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Adaptive Semantics Visualization

Part of the book series: Studies in Computational Intelligence ((SCI,volume 646))

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Abstract

Human-centered adaptation has been subject of research and development for more than two decades. In particular adaptive learning systems built the foundation of this research area. Content-based adaptation, navigation support, and help-systems are just example for the broad range of adaptive hypermedia and learning systems. The developed approaches commonly focus on users’ knowledge in a particular domain of interest, e.g. teaching programming languages. In contrast to those systems, adaptive visualizations are a relatively young area of research. Although the main goal, namely to support users in information and knowledge acquisition processes is quite similar, a linear way of learning is not focused in adaptive visualizations. Visual environments contain various variables that can be adapted and thereby support or confuse users. This chapter investigates the state-of-the art in adaptive visualizations. To have a common understanding of the term “adaptive”, we will introduce definitions for adaptation in a general manner and derive from these a definition for adaptation for this work.

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  1. Competence Center Information Visualization and Visual Analytics, Fraunhofer Institute for Computer Graphics Research (Fraunhofer IGD), Darmstadt, Germany

    Kawa Nazemi

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Nazemi, K. (2016). Adaptive Visualization. In: Adaptive Semantics Visualization. Studies in Computational Intelligence, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-319-30816-6_4

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