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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	caadria2021_283
id	caadria2021_283
authors	Sanatani, Rohit Priyadarshi, Chatterjee, Shamik Sambit and Manna, Ishita
year	2021
title	Subject-specific Predictive Modelling for Urban Affect Analysis
doi	https://doi.org/10.52842/conf.caadria.2021.2.387
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 387-396
summary	Recent developments in crowd-sourced data collection and machine intelligence have facilitated data-driven analyses of the affective qualities of urban environments. While past studies have focused on the commonalities of affective experience across multiple subjects, this paper demonstrates an integrated framework for subject-specific affective data collection and predictive modelling. For demonstration, 10 field observers recorded their affective appraisals of various urban environments along the scales of Liveliness, Beauty, Comfort, Safety, Interestingness, Affluence, Stress and Familiarity. Data was collected through a mobile application that also recorded geo-location, date, time of day, a high resolution image of the users field of view, and a short audio clip of ambient sound. Computer vision algorithms were employed for extraction of six key urban features from the images - built score, paved score, auto score, sky score, nature score, and human score. For predictive modelling, K-Nearest Neighbour and Random Forest regression algorithms were trained on the subject-specific datasets of urban features and affective ratings. The algorithms were able to accurately assess the predicted affective qualities of new environments based on the specific individuals affective patterns.
keywords	Urban Affect; Subjective Experience; Predictive Modelling; Affect Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia10_10
id	acadia10_10
authors	Sprecher, Aaron
year	2010
title	Informed Architecture: Affluence, Influence, and Confluence: Three Conditions on the Nature of Information and the Architectural Organism
doi	https://doi.org/10.52842/conf.acadia.2010.010
source	ACADIA 10: LIFE in:formation, On Responsive Information and Variations in Architecture [Proceedings of the 30th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-4507-3471-4] New York 21-24 October, 2010), pp. 10-13
summary	With the advent of the modern sciences and the perception of natural phenomena in terms of indeterminacies, the discipline of architecture has marked a shift from an idealistic expression of the real world to the unleashing of performative systems that reflect its instabilities.
series	ACADIA
type	Forewords
last changed	2022/06/07 07:56

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