Cumincad : CUMINCAD Papers : Search Results

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	ijac202018305
id	ijac202018305
authors	McIntosh, Jacqueline; Bruno Marques and Robyn Harkness
year	2020
title	Simulating impairment through virtual reality
source	International Journal of Architectural Computing vol. 18 - no. 3, 284-295
summary	Research on architectural technology for health care has rapidly increased in recent years; however, little research has been conducted on the use of virtual reality for simulating impairment. This exploratory research maps the experiences of people with impairments in the often-overlooked corridors and waiting rooms of an emergency department. It questions whether the experience of an impairment can be usefully simulated for empathetic design. While using participatory processes to develop a virtual reality simulation of waiting areas, this research applies three representative impairments and then surveys 30 architectural designers to find the emotional responses of the unimpaired to the design intervention. While this research is preliminary, it is particularly valuable for the comprehension of proposed designs during the early planning and design phases, without costly and time-consuming use of full participatory processes. It finds there is significant potential for the use of virtual reality as a technology to simulate the experiences of these spaces by individuals with impairment, enabling empathetic design, and offers direction for future research.
keywords	Emergency department, virtual reality, architecture, participatory design, health care
series	journal
email
last changed	2020/11/02 13:34

_id	acadia20_130
id	acadia20_130
authors	Newton, David
year	2020
title	Anxious Landscapes
doi	https://doi.org/10.52842/conf.acadia.2020.2.130
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 130-137.
summary	Advances in the field of machine learning over the last decade have revolutionized artificial intelligence by providing a flexible means to build analytic, predictive, and generative models from large datasets, but the allied design disciplines have yet to apply these tools at the urban level to draw analytic insights on how the built environment might impact human health. Previous research has found numerous correlations between the built environment and both physical and mental health outcomes—suggesting that the design of our cities may have significant impacts on human health. Developing methods of analysis that can provide insight on the correlations between the built environment and human health could help the allied design disciplines shape our cities in ways that promote human health. This research addresses these issues and contributes knowledge on the use of deep learning (DL) methods for urban analysis and mental health, specifically anxiety. Mental health disorders, such as anxiety, have been estimated to account for the largest proportion of global disease burden. The methods presented allow architects, planners, and urban designers to make use of large remote-sensing datasets (e.g., satellite and aerial images) for design workflows involving analysis and generative design tasks. The research also contributes insight on correlations between anxiety prevalence and specific urban design features—providing actionable intelligence for the planning and design of the urban fabric.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_220
doi	https://doi.org/10.52842/conf.acadia.2020.2.220
last changed	2023/10/22 12:06

_id	acadia20_148
doi	https://doi.org/10.52842/conf.acadia.2020.2.148
last changed	2023/10/22 12:06

_id	acadia20_236
doi	https://doi.org/10.52842/conf.acadia.2020.2.236
last changed	2023/10/22 12:06

_id	acadia20_202
doi	https://doi.org/10.52842/conf.acadia.2020.2.202
last changed	2023/10/22 12:06

_id	acadia20_226
doi	https://doi.org/10.52842/conf.acadia.2020.2.226
last changed	2023/10/22 12:06

_id	acadia20_232
doi	https://doi.org/10.52842/conf.acadia.2020.2.232
last changed	2023/10/22 12:06

_id	acadia20_176
doi	https://doi.org/10.52842/conf.acadia.2020.2.176
last changed	2023/10/22 12:06

_id	acadia20_124
doi	https://doi.org/10.52842/conf.acadia.2020.2.124
last changed	2023/10/22 12:06

_id	acadia20_192
doi	https://doi.org/10.52842/conf.acadia.2020.2.192
last changed	2023/10/22 12:06

_id	acadia20_164
doi	https://doi.org/10.52842/conf.acadia.2020.2.164
last changed	2023/10/22 12:06

_id	acadia20_214
doi	https://doi.org/10.52842/conf.acadia.2020.2.214
last changed	2023/10/22 12:06

_id	acadia20_154
doi	https://doi.org/10.52842/conf.acadia.2020.2.154
last changed	2023/10/22 12:06

_id	acadia20_108
doi	https://doi.org/10.52842/conf.acadia.2020.2.108
last changed	2023/10/22 12:06

_id	acadia20_182
doi	https://doi.org/10.52842/conf.acadia.2020.2.182
last changed	2023/10/22 12:06

_id	acadia20_142
doi	https://doi.org/10.52842/conf.acadia.2020.2.142
last changed	2023/10/22 12:06

_id	acadia20_136
doi	https://doi.org/10.52842/conf.acadia.2020.2.136
last changed	2023/10/22 12:06

_id	acadia20_114
doi	https://doi.org/10.52842/conf.acadia.2020.2.114
last changed	2023/10/22 12:06

_id	ijac202018304
id	ijac202018304
authors	Aagaard, Anders Kruse and Niels Martin Larsen
year	2020
title	Developing a fabrication workflow for irregular sawlogs
source	International Journal of Architectural Computing vol. 18 - no. 3, 270-283
summary	In this article, we suggest using contemporary manufacturing technologies to integrate material properties with architectural design tools, revealing new possibilities for the use of wood in architecture. Through an investigative approach, material capacities and fabrication methods are explored and combined towards establishing new workflows and architectural expressions, where material, fabrication and result are closely interlinked. The experimentation revolves around discarded, crooked oak logs, doomed to be used as firewood due to their irregularity. This project treats their diverging shapes differently by offering unique processing to each log informed by its particularities. We suggest here a way to use the natural forms and properties of sawlogs to generate new structures and spatial conditions. In this article, we discuss the scope of this approach and provide an example of a workflow for handling the discrete shapes of natural sawlogs in a system that involve the collection of material, scanning/digitisation, handling of a stockpile, computer analysis, design and robotic manufacturing. The creation of this specific method comes from a combination of investigation of wood as a material, review of existing research in the field, studies of the production lines in the current wood industry and experimentation through our in-house laboratory facilities. As such, the workflow features several solutions for handling the complex and different shapes and data of natural wood logs in a highly digitised machining and fabrication environment. This up-cycling of discarded wood supply establishes a non-standard workflow that utilises non-standard material stock and leads to a critical articulation of today’s linear material economy. The project becomes part of an ambition to reach sustainable development goals and technological innovation in global and resource-intensive architecture and building industry.
keywords	Natural wood, robotic fabrication, computation, fabrication, research by design
series	journal
email
last changed	2020/11/02 13:34

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