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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	caadria2019_473
id	caadria2019_473
authors	Leung, Emily, Butler, Andrew, Asher, Rob, Gardner, Nicole and Haeusler, M. Hank
year	2019
title	Redback BIM - Developing a Browser-based Modeling Application Software Taxonomy
doi	https://doi.org/10.52842/conf.caadria.2019.1.775
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 775-784
summary	Browser-based platforms (Google Docs or Minecraft) have instigated the value of collaborative environments. Browser-based modelling point out a future for the AEC industry. Yet at present no literature review nor a taxonomy of browser-based modelling platforms exist. A key outcome of a unique taxonomy framework of existing BMA characteristics reveals that current BMAs do not take full advantage of the web's unique capabilities such as centralising data across multiple tools within an 'ecosystem'. Consequently, this taxonomy has productively guided the development of Redback BIM, a proof-of-concept BMA that enables the coordination of BIM data in a collaborative online context. Redback BIM further demonstrates how, through establishing a universal data-type, a diverse range of scripts can be consolidated together in an online platform to enable greater accessibility for a range of AEC professionals towards improved project communication and efficiency.
keywords	Web 2.0; browser-based modelling; taxonomy; software development; standardisation of processes
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_184
id	caadria2019_184
authors	Huangfu, Wenzhi and Chung, Wang Leung Thomas
year	2019
title	Computational Measurement of Prospect-Refuge Perception in Two-Dimensional Built Space
doi	https://doi.org/10.52842/conf.caadria.2019.2.313
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 313-322
summary	Prospect-refuge theory, as a noted environment preference pattern, holds that the environment providing conditions to unimpededly see others without being seen can evoke a psychobiological pleasure for people. Although being an effective approach to understand successful and enduring emotional experience, less special attention has been paid to uncover the concrete degree of "prospect" and "refuge" properties of locations. With this background, this paper develops a computational model, Prospect-Refuge Analysis(PRA), for quantitatively measuring the diverse prospect-refuge perceptions in two-dimensional built space. Then the paper verifies the measuring effectiveness of the PRA via comparatively examining the data-perception consistency in Frank Lloyd Wright's domestic projects.
keywords	Simulation and Analysis; Environmental and Behavior Psychology; Prospect and Refuge Theory; Spatio-Visual Analysis Model
series	CAADRIA
email
last changed	2022/06/07 07:50

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