id |
acadia17_178 |
authors |
Charbel, Hadin; López, Déborah |
year |
2017 |
title |
In(di)visible: Computing Immersive Environments through Hybrid Senses |
doi |
https://doi.org/10.52842/conf.acadia.2017.178
|
source |
ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 178-189 |
summary |
The research presented in this paper seeks to examine how architecture and computational tools can be used to communicate on multiple levels by incorporating a series of qualitative and quantitative measures as criteria for a spatial and architectural design.
Air is taken as a material that has the capacity to create boundaries, yet unless under extreme conditions often remains invisible. Varying in qualities such as temperature, humidity and pollution, the status of air is highly local to a particular context. The research explores how rendering air visible through an architectural intervention made of networked sentient prototypes can be used in the reation of a responsive outdoor public space. Although humans' ability to perceive and respond to stimuli is highly advanced, it is nevertheless limited in its spectrum. Within the urban context specifically, the information, material and flux being produced is becoming ever more complex and incomprehensible. While computational tools, sensors and data are increasingly accessible, advancements in the fields of cognitive sciences and biometrics are unraveling how the mind and body works. These developments are explored in tandem and applied through a proposed methodology.
The project aims to negotiate the similarities and differences between humans and machines with respect to the urban environment. The hypothesis is that doing so will create a rich output, irreducible to a singular reading while heightening user experience and emphasizing a sense of place. |
keywords |
design methods; information processing; hybrid practices; data visualization; computational / artistic cultures |
series |
ACADIA |
email |
|
full text |
file.pdf (3,869,001 bytes) |
references |
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2022/06/07 07:55 |
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