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	caadria2021_318
id	caadria2021_318
authors	Schnabel, Marc Aurel, Kobayashi, Yoshihiro, Pencreach, Yoann, Bennadji, Amar, Choi, Dongsoo, Fiamma, Paolo, Fukuda, Tomohiro, Lo, Tian Tian, Narahara, Taro, Novak, Marcos, Ron, Ruth, Swarts, Matthew, Terzidis, Kostas, Tucker, Thomas and Vital, Rebeka
year	2021
title	Virtual World16 - Virtual Design Collaboration for the Intersection of Academia and Industry
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. 203-212
doi	https://doi.org/10.52842/conf.caadria.2021.2.203
summary	Over the past 13 years, the 'World16'-group has collaborated face-to-face on various challenges that architectural design faces within VR, architecture, urban design, and its delivery to the professional industries. The focus of the collaboration is to foster pathways of academic research and developments to industries and professions. In 2020, due to the restrictions of the pandemic, the group had to rethink and redevelop how to collaborate meaningfully and become resilient: the World16 collaborated akin to the Virtual Design Studios (VDS) of the Nineties for the first time exclusively virtually becoming the 'Virtual World16'. The paper presents the group's various projects that are transformative to the praxis in VR architecture, design and urban design, and critically reflects on the lessons learned from VDS-paradigm.
keywords	Virtual Design Studio (VDS); Human-Computer Interaction (HCI); VR,AR,XR; Collaboration; 3D City Modelling
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_253
id	caadria2021_253
authors	Vivanco Larrain, Tomas, Valencia, Antonia and Yuan, Philip F.
year	2021
title	Spatial Findings on Chilean Architecture StyleGAN AI Graphics
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 251-260
doi	https://doi.org/10.52842/conf.caadria.2021.1.251
summary	The use of StyleGAN algorithms proposes a novel approach in the investigation of architectural images. Even though graphical outcomes produced by StyleGAN algorithms are far from being architectural spaces, they might become a starting point in the creative process of architectural projects. By creating a database of specific categories of architectural images located in certain contexts, significant findings might emerge regarding their categorization in accordance to the style of a culture. This research analyzes the architectural images that result from implementing StyleGAN algorithms in a database of images of Chilean houses built between the years 2010 and 2020 and selected as finalist of the Â´Project of the YearÂ´ from international viewers and curators of the most viewed architectural website of the world. Our findings suggest that Chilean houses have two distinctive elements strongly influenced by human bias: the proportion of voids in the architectural-like generative volume and the integration of vegetation or landscape.
keywords	StyleGAN; Chilean architecture; artificial intelligence; spatial findings
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia20_484
id	acadia20_484
authors	Kim, Namjoo; Otitigbe, Eto; Shannon, Caroline; Smith, Brian; Seyedahmadian, Alireza; Höweler, Eric; Yoon, J. Meejin; Marshall, Durham; Durham, James
year	2020
title	Parametric Photo V-Carve for Variable Surfaces
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. 484-493.
doi	https://doi.org/10.52842/conf.acadia.2020.1.484
summary	This research project was part of the design and construction of the Memorial to Enslaved Laborers (MEL) at the University of Virginia (UVA). The MEL was dedicated to an estimated 4,000 enslaved persons who worked at UVA between 1817 and 1865. The 80-foot-diameter memorial is a tapered toroidal shape composed of 75 stone blocks. This project demonstrates how computational design tools along with robotic digital fabrication can be used to achieve unique social and experiential effects in an architectural application. The memorial’s design was informed by an extensive community engagement process that clarified the importance of including a visual representation of enslaved people on the memorial. With this input, the eyes of Isabella Gibbons were selected to be used as a symbolic representation of triumph on the outer wall of the memorial. The MEL project could not rely solely on prior methods or existing software applications to design and fabricate this portrait due to four particularities of the project: material, geometry, representation, and scale. To address these challenges, the MEL design team employed an interdisciplinary collaborative process to develop an innovative parametric design technique: parametric photo V-carve. This technique allowed the MEL design team to render a large-scale photo-realistic portrait into stone. This project demonstrates how the synthesis of artistic motivations, computational design, and robotic digital fabrication can develop unique expressions that shape personal and cultural experiences.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_446
id	caadria2020_446
authors	Cho, Dahngyu, Kim, Jinsung, Shin, Eunseo, Choi, Jungsik and Lee, Jin-Kook
year	2020
title	Recognizing Architectural Objects in Floor-plan Drawings Using Deep-learning Style-transfer Algorithms
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 717-725
doi	https://doi.org/10.52842/conf.caadria.2020.2.717
summary	This paper describes an approach of recognizing floor plans by assorting essential objects of the plan using deep-learning based style transfer algorithms. Previously, the recognition of floor plans in the design and remodeling phase was labor-intensive, requiring expert-dependent and manual interpretation. For a computer to take in the imaged architectural plan information, the symbols in the plan must be understood. However, the computer has difficulty in extracting information directly from the preexisting plans due to the different conditions of the plans. The goal is to change the preexisting plans to an integrated format to improve the readability by transferring their style into a comprehensible way using Conditional Generative Adversarial Networks (cGAN). About 100-floor plans were used for the dataset which was previously constructed by the Ministry of Land, Infrastructure, and Transport of Korea. The proposed approach has such two steps: (1) to define the important objects contained in the floor plan which needs to be extracted and (2) to use the defined objects as training input data for the cGAN style transfer model. In this paper, wall, door, and window objects were selected as the target for extraction. The preexisting floor plans would be segmented into each part, altered into a consistent format which would then contribute to automatically extracting information for further utilization.
keywords	Architectural objects; floor plan recognition; deep-learning; style-transfer
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2020_031
id	caadria2020_031
authors	Kim, Nayeon and Lee, Hyunsoo
year	2020
title	Visual Attention in Retail Environments - Design Analysis using HMD based VR System Integrated Eye-Tracking
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 631-640
doi	https://doi.org/10.52842/conf.caadria.2020.1.631
summary	The goal of this study is to understand the spatial experience of users in retail environments in an immersive virtual reality setting. This study measures the visual attention and visual merchandising cognition of users via a quantitative method. The study was conducted to assess users' visual perception arising from the visual merchandising in-store environment during virtual reality experiences. The experiment was conducted using eye-tracking methodology in a virtual reality environment. After the experiment, participants responded to questionnaire surveys to assess visual merchandising cognition in retail environments. The experiment stimuli were provided in the virtual simulation of a retail store. During the experiment, each participant wearing a head-mounted display device was asked to experience the virtual retail space. The result shows the quantitative analysis of user behavior in the retail space and which design elements attract their attention. Unlike the precedent eye-tracking studies, this research analyzes visual attention during the spatial experience of retailing in its use of virtual reality technology. The approach and findings of this research provide useful information and practical guidelines to retailers and designers who are interested in improving the retail environment in consideration of customer visual attention and spatial elements.
keywords	Visual Attention; Retail Environment; Eye-tracking ; Virtual Reality; HMD (Head-Mounted Display)
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	acadia20_94
id	acadia20_94
authors	Yoo, Wonjae; Kim, Hyoungsub; Shin, Minjae; J.Clayton, Mark
year	2020
title	BIM-Based Automatic Contact Tracing System Using Wi-Fi
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. 94-101.
doi	https://doi.org/10.52842/conf.acadia.2020.1.094
summary	This study presents a BIM-based automatic contact tracing method using a stations-oriented indoor localization (SOIL) system. The SOIL system integrates BIM models and existing network infrastructure (i.e., Wi-Fi), using a clustering method to generate roomlevel occupancy schedules. In this study, we improve the accuracy of the SOIL system by including more detailed Wi-Fi signal travel sources, such as reflection, refraction, and diffraction. The results of field measurements in an educational building show that the SOIL system was able to produce room-level occupant location information with a 95.6% level of accuracy. This outcome is 2.6% more accurate than what was found in a previous study. We also describe an implementation of the SOIL system for conducting contact tracing in large buildings. When an individual is confirmed to have COVID-19, public health professionals can use this system to quickly generate information regarding possible contacts. The greatest strength of this SOIL implementation is that it has wide applicability in largescale buildings, without the need for additional sensing devices. Additional tests using buildings with multiple floors are required to further explore the robustness of the system.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_497
id	ecaade2020_497
authors	Kim, Eunsu, Rosenwasser, David and Garcia del Castillo Lopez, Jose Luis
year	2020
title	Urban Emotion - The interrogation of social media and its implications within urban context
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 475-482
doi	https://doi.org/10.52842/conf.ecaade.2020.2.475
summary	This paper presents social media as an analytical tool, helping to transform public policy-making, alongside urban needs by dissecting and evaluating human perception. Using emotion analysis on data gathered from a social media platform, experiments are developed to bring new value to architectural and civic narratives. Emotions from texts collected within social media platforms are extracted and mapped alongside tagged locations to gain a greater understanding of how public spaces are utilized. This project develops a new analytical layer within our built environment, working alongside the urban fabric, mechanical systems, and digital infrastructure. It is offered as an interactive tool for policymakers and designers to glean feedback, creating an informed conversation between citizens and decision-makers. Whereas social media platforms such as Twitter and Yelp have been referenced in past academic contexts, this project moves further by producing quantified emotions, painting a differentiated result from what purely semantic data could deliver.
keywords	Social Media; Mapping; Natural Language Processing
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 873-882
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2020_113
id	caadria2020_113
authors	Kim, Jun Sik and Sweet, Kevin
year	2020
title	Mass-tailorisation - through Three Analogies - Resolving the paradox of choice in the architecture design process through the digital continuum of mass-tailorisation
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 527-536
doi	https://doi.org/10.52842/conf.caadria.2020.2.527
summary	The advent of digital tools and technologies has provided designers with the ability to create in complexities and volumes of unprecedented scale. Thus, perhaps the designer has also become prone to the paradox of choice than ever before, at a time which the decision-making process of the designer is increasing in its significance due to the near-limitless possibilities of design. Mass-tailorisation aims to aid the decision-making process of the designer in a world of unprecedented possibilities but of limited practicalities of reality by narrowing the viable solutions through non-critical design contexts and biases. Mass-tailorisation begins as a reaction to mass-customisation, however, through the aid of digital continuum and the pursuit of the Move 37 phenomenon, mass-tailorisation aims to aid the designer of the modern times.
keywords	Mass-tailorisation; Paradox of Choice; Artificial Intelligence; Decision-making; Mass-customisation
series	CAADRIA
email
last changed	2022/06/07 07:52

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