Coping with the big data dump: Towards a framework for enhanced information representation

Andreas Kratky, Virginia Kuhn, Jon Olav Eikenes


Easy and efficient access to large amounts of data has become an essential aspect of our everyday life. In this paper we investigate possibilities of supporting information representation through the combined use of multiple modalities of perceptions such as sight, touch and kinesthetics. We present a theoretical framework to analyze these approaches and exemplify our findings with case studies of three emergent projects. The results are a contribution to a larger discussion of multimodal information representation at the intersection of theory and practice.


Information Representation; Big Data; Visualization; Film; Human Computer Interaction; Interface Design

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