| id |
caadria2020_163 |
| authors |
Koh, Immanuel |
| year |
2020 |
| title |
The Augmented Museum - A Machinic Experience with Deep Learning |
| doi |
https://doi.org/10.52842/conf.caadria.2020.2.639
|
| 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 |
|
| full text |
 file.pdf (6,051,438 bytes) |
| references |
Content-type: text/plain
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 Identity and the Museum Visitor Experience
, Left Coast Press, Walnut Creek
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, Curator: The Museum Journal, 55(4), pp. 435-452
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Volker, K and Tröndle, M (2015)
The Museum Experience: Mapping the Experience of Fine Art
, Curator: The Museum Journal, 58(2), p. 169-93
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| last changed |
2022/06/07 07:51 |
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