CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2020_163
authors Koh, Immanuel
year 2020
title The Augmented Museum - A Machinic Experience with Deep Learning
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 639-648
summary Today we witness a shift in the role with which museum used to play -- from one that was simply a spatial container filled with physical artworks on display, to one that is now layered with the digital/online version of the artworks themselves. Deep learning algorithms have become an important means to process such large datasets of digital artworks in providing an alternative curatorial practice (biased/unbiased), and consequentially, augmenting the navigation of the museum's physical spaces. In collaboration with a selection of museums, a series of web/mobile applications have been made to investigate the potential of such machinic inference, as well as interference of the physical experience.
keywords Machine Learning; Deep Learning; Experience Design; Artificial Intelligence
series CAADRIA
email immanuel_koh@sutd.edu.sg
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Details Citation Select
100%; open Falk, JH (2009) Find in CUMINCAD Identity and the Museum Visitor Experience , Left Coast Press, Walnut Creek

100%; open Robinson, ES (1928) Find in CUMINCAD The Behavior of the Museum Visitor , American Association of Museums, Washington, DC

100%; open Volker, K and Tröndle, M (2012) Find in CUMINCAD Experiencing Exhibitions: A Review of Studies on Visitor Experiences in Museums , Curator: The Museum Journal, 55(4), pp. 435-452

100%; open Volker, K and Tröndle, M (2015) Find in CUMINCAD The Museum Experience: Mapping the Experience of Fine Art , Curator: The Museum Journal, 58(2), p. 169-93

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