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	caadria2024_186
id	caadria2024_186
authors	Huang, Jingfei and Tu, Han
year	2024
title	Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
doi	https://doi.org/10.52842/conf.caadria.2024.2.395
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 395–404
summary	The ascension of social media platforms has transformed our understanding of urban environments, giving rise to nuanced variations in sentiment reaction embedded within human perception and opinion, and challenging existing multidimensional sentiment analysis approaches in urban studies. This study presents novel methodologies for identifying and elucidating sentiment inconsistency, constructing a dataset encompassing 140,750 Baidu and Tencent Street view images to measure perceptions, and 984,024 Weibo social media text posts to measure opinions. A reaction index is developed, integrating object detection and natural language processing techniques to classify sentiment in Beijing Second Ring for 2016 and 2022. Classified sentiment reaction is analysed and visualized using regression analysis, image segmentation, and word frequency based on land-use distribution to discern underlying factors. The perception affective reaction trend map reveals a shift toward more evenly distributed positive sentiment, while the opinion affective reaction trend map shows more extreme changes. Our mismatch map indicates significant disparities between the sentiments of human perception and opinion of urban areas over the years. Changes in sentiment reactions have significant relationships with elements such as dense buildings and pedestrian presence. Our inconsistent maps present perception and opinion sentiments before and after the pandemic and offer potential explanations and directions for environmental management, in formulating strategies for urban renewal.
keywords	Urban Sentiment, Affective Reaction, Social Media, Machine Learning, Urban Data, Image Segmentation.
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ascaad2016_015
id	ascaad2016_015
authors	Sosa, Marco; Lina Ahmad
year	2016
title	Integration of Digital Tools and Fabrication Methods for Learning CAAD - Innovative pedagogy methods applied in a design college in Abu Dhabi
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 125-134
summary	The interior design curriculum at the College of Arts & Creative Enterprises (CACE), Zayed University in Abu Dhabi, offers two CAAD courses; the first is concurrent with first-year Interior Design studio; the second is a year later. The objectives of the first is equip students with the tools needed to represent and communicate their designs, while the second looks in-depth into the process of documentations. This paper will focus on presenting our pedagogical approach in the first CAAD course, as well as tracing students implementation, knowledge utilization and how it is carried over into their main interior design studio. It will also shed light into CAAD influence on expanding student technical and material knowledge through direct space survey and documentation. The paper aims at presenting and reflecting upon a dynamic devised adaptable pedagogical method that identifies two student categories; those who learn how to ‘practice design’ (majority), and those who unfold the realm of ‘being a designer’ (minority). It is the latter few that continue their path, emerge into various international settings, and have a major influence on their local communities.
series	ASCAAD
email
last changed	2017/05/25 13:31

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