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Penumbra2.0

Published:07 December 2023Publication History

ABSTRACT

Penumbra2.0 is an AI immersive art installation exploring the visualisation of an unpredictable extreme wildfire scenario using a pyro-aesthetic, an aesthetic based on the perceptual qualities of this fire type. Currently seen in Canada, these wildfires are extreme in their speed and scale. They are unpredictable as their behaviour moves across terrains in unforeseen ways, unlike the linear and predictable paths of bushfires. Using geo-located data, Penumbra2.0 recreates an actual wildfire in the Vosges mountains, France, 2020. It has been collaboratively developed by art, AI and fire researchers.

Penumbra2.0 forms part of a larger research program entitled iFire. iFire consists of an artistic and scientific project series, the Penumbra series comprising the artistic and Umbra the scientific. Both use the same database of atmospheres, flora, pyro-histories and topographies. Penumbra explores the palpable and sensorial qualities of wildfire experiences, while Umbra investigates the dynamic variables of wildfire events. To amplify the evocative viscerality of these encounters, Penumbra is rendered in monochrome. To underscore its complex pyro-turbulent processes, Umbra is rendered in color.

Penumbra2 0 investigates pyro-aesthetics as a two-way dialogue between the viewer and a fire-laden landscape, rather than a linear relationship between an active human protagonist and a passive "natural disaster". It aims to model the uncertainties that characterize such exchanges. On the one hand, the actions of the user, and on the other, the fire's behavior. As the user traverses the landscape, they attempt to control their perspective through their movement and orientation of gaze. The fire responds in autonomous ways, by changing its behavior. Conversely, unexpected changes in the wildfire induce shifts in the user's actions as they attempt to manage the uncertainty.

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          • Published in

            cover image ACM Conferences
            SA '23: SIGGRAPH Asia 2023 Art Gallery
            December 2023
            42 pages
            ISBN:9798400703089
            DOI:10.1145/3610537

            Copyright © 2023 Owner/Author(s)

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 7 December 2023

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            Overall Acceptance Rate178of869submissions,20%
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