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Cultural Data Sculpting: Omnidirectional Visualization for Cultural Datasets

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Knowledge Visualization Currents

Abstract

This chapter presents five research projects currently underway to develop new omnispatial, omnidirectional visualization strategies for the collaborative interrogation of large-scale heterogeneous cultural datasets using the world’s first 360° stereoscopic visualization environment (Advanced Visualization and Interaction Environment— AVIE). The AVIE system enables visualization modalities through full body immersion, stereoscopy, spatialized sound and camera-based tracking. The research integrates work by a group of international investigators in virtual environment design, immersive interactivity, information visualization, museology, archaeology, visual analytics and computational linguistics. The work is being implemented at the newly established research facility, City University’s Applied Laboratory for Interactive Visualization and Embodiment— ALIVE) in association with partners Europeana, Museum Victoria (Melbourne), iCinema Centre, UNSW (Sydney), UC Merced (USA), the Dunhuang Academy, and UC Berkeley (USA). The applications are intended for museum visitors and for humanities researchers. They are: (1) Data Sculpture Museum, (2) ECloud, (3) Blue Dots 360 (Tripitaka Koreana), (4) Rhizome of the Western Han, and (5) Pure Land: Inside the Mogao Grottoes at Dunhuang.

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Notes

  1. 1.

    This project is being developed as part of the Australian Research Council Linkage Grant (2011–2014) “The narrative reformulation of multiple forms of databases using a recombinatory model of cinematic interactivity” (UNSW iCinema Research Centre [1], Museum Victoria [46], ALiVE City University [3], ZKM Centre for Built Media) [62].

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Acknowledgements

This chapter contains information appearing in Kenderdine and Hart 2011 [31]. The principal author would like to acknowledge the contribution of colleagues at ALiVE: Prof Jeffrey Shaw, William Wong and Dr Oscar Kin Chung Au and Tobias Gremmler. Also the contributions of members of the Department of Chinese, Translation and Linguistics, CityU, in relation to textual analytics, Prof Jonathan Webster and Dr John Lee. The title ‘Cultural Data Sculpting’ is inspired from Zhao and Vande Moere [61]. Data Sculpture Museum: The narrative reformulation of multiple forms of databases using a recombinatory model of cinematic interactivity. Partners: UNSW iCinema Research Centre, Museum Victoria, ZKM, City University of Hong Kong. Researchers: Assoc Prof Dr Dennis Del Favero, Prof Dr. Horace Ip, Mr Tim Hart, Assoc Prof Dr Sarah Kenderdine, Prof Jeffrey Shaw, Prof Dr Peter Wiebel. This project is funded by the Australian Research Council 2011–2014 [10]. Rhizome of the Western Han. Partners: ALiVE, City University of Hong Kong, UC Merced, Researchers: Assoc Prof Dr Sarah Kenderdine, Prof Maurizio Forte, Carlo Camporesi, Prof Jeffrey Shaw. Blue Dots : Tripitaka Koreana. Partners: ALiVE, City University of Hong Kong, UC Berkeley, Researchers: Assoc Prof Dr Sarah Kenderdine, Prof Lew Lancaster, Howie Lan, Prof Jeffrey Shaw, Tobias Gremmler. Pure Land is a production of the Applied Laboratory of Interactive Visualization and Embodiment (ALiVE), School of Creative Media City University of Hong Kong, Dunhuang Academy, Friends of Dunhuang Hong Kong, Digital Magic, Animotion Media and Museum Victoria.

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  1. City University of Hong Kong, Units 101–105, Lakeside 2, 10 Science Park West Avenue, Pak Shek Kok, Shatin, NT, Hong Kong

    Sarah Kenderdine, Jeffrey Shaw & Tobias Gremmler

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  1. Sarah Kenderdine
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  2. Jeffrey Shaw
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  3. Tobias Gremmler
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Correspondence to Sarah Kenderdine .

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  1. Computer Science Department, Pace University, 163 William Street, 2nd Floor, New York, 10038, New York, USA

    Francis T. Marchese

  2. Institute for Computing Research, London South Bank University, Research Unit, 103 Borough Road, London, SE1 0AA, United Kingdom

    Ebad Banissi

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Kenderdine, S., Shaw, J., Gremmler, T. (2013). Cultural Data Sculpting: Omnidirectional Visualization for Cultural Datasets. In: Marchese, F., Banissi, E. (eds) Knowledge Visualization Currents. Springer, London. https://doi.org/10.1007/978-1-4471-4303-1_11

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  • DOI: https://doi.org/10.1007/978-1-4471-4303-1_11

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