Baguamarsh: An Immersive Narrative Visualization for Conveying Subjective Experience

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Abstract

As ubiquitous sensing becomes embedded in our everyday world, we can easily obtain multimodal sensor data from our physical surroundings. Objectivity is a core value in the visualization research community. However, personal experiences are characterized not only by objective facts, but by personal emotions. In this paper, we explore immersive data visualization for conveying personal subjective perception and experience by using multidimensional data and multimedia. We introduce a framework to describe narrative structures in immersive data visualization, and provide an example project Baguamarsh as a proof of theme-based creative methods for designing correlations between different information. We hope this study may offer outline opportunities for future research in narrative visualization.

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Jiang, F., Haddad, D. D., & Paradiso, J. (2020). Baguamarsh: An Immersive Narrative Visualization for Conveying Subjective Experience. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12181 LNCS, pp. 596–613). Springer. https://doi.org/10.1007/978-3-030-49059-1_44

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