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

Authors

  • Andreas Kratky University of Southern California
  • Virginia Kuhn University of Southern California
  • Jon Olav Eikenes

DOI:

https://doi.org/10.5210/fm.v20i6.5507

Keywords:

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

Abstract

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.

Author Biographies

Andreas Kratky, University of Southern California

Assistant Professor 

Division of Interactive Media and Games

Division of Media Arts and Practice

School of Cinematic Arts

University of Southern California

Virginia Kuhn, University of Southern California

Associate Professor 

Division of Media Arts and Practice

School of Cinematic Arts

University of Southern California

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Published

2015-05-21

How to Cite

Kratky, A., Kuhn, V., & Eikenes, J. O. (2015). Coping with the big data dump: Towards a framework for enhanced information representation. First Monday, 20(6). https://doi.org/10.5210/fm.v20i6.5507