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

PDF papers
References

Hits 1 to 20 of 758

Reformat results as: short short into frame detailed detailed into frame

_id	caadria2023_350
id	caadria2023_350
authors	Das, Avishek, Fich, Lars Brorson and Madsen, Claus Broendgaard
year	2023
title	A Comparative Analysis of Architectural Experience in the Reality Continuum Based on Embodiment, Tactility and Affordance
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 69–78
doi	https://doi.org/10.52842/conf.caadria.2023.2.069
summary	This paper presents a comparative analysis between a physical model, a set of virtual reality (VR) models and a set of augmented reality (AR) models of the same architectural project. A set of architectural participants’ interactions with the models have been recorded through a set of sensor streams and videos and their experiences have been interpreted through a questionnaire containing both qualitative and quantitative questions. Further analysing through the sensor streams, video recording and questionnaire, their experiences have been interpreted using a framework of embodiment, affordance and tactility to determine the usefulness and limitations and each of the modes and their possible application in architectural design practice.
keywords	augmented reality, virtual reality, architectural model, embodied cognition, affordance, spatial cognition
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_325
id	caadria2023_325
authors	Globa, Anastasia, Yildirim, Muhammed, Lyu, Kun and Gocer, Ozgur
year	2023
title	Evaluation of Interactive VR Environments for Architecture
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 351–360
doi	https://doi.org/10.52842/conf.caadria.2023.2.351
summary	Despite the potential advantages of new architectural practices and learning forms, there has been very limited adoption of VR systems in the field of architectural design and education. Considerable obstacles to implementing VR applications are associated with substantial time, and expense commitments; in addition to required skills in VR development using gaming authoring software. The overarching study suggests adopting an alternative approach to VR development. This paper focuses on the testing and validation of architectural VR applications. We present a systematic methodology for the evaluation of interactive VR systems, using established assessment methods and metrics, detailing user-testing procedures and providing qualitative and quantitative evidence, and relevant data analysis methods. The paper provides valuable insight into the design of the user studies and evaluation of interactive VR environments in architecture, enabling future research and informing design applications in a wider field.
keywords	VR, Virtual Site Visits, User Testing in VR, Virtual Environment Evaluation, VR in Architecture
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_298
id	caadria2023_298
authors	McLemore, Duane, Malaia, Kateryna and Lopez-Barrera, Silvina
year	2023
title	Virtual Reality Applications in Housing Insecurity Research
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 39–48
doi	https://doi.org/10.52842/conf.caadria.2023.2.039
summary	Virtual Reality technology has been widely explored to simulate environment and spaces in architectural and urban design. However, there is a gap of knowledge on real-world applications of Virtual Reality to conduct architectural research of social impact on existing architecture and domestic interior spaces. This paper focuses on the application of VR within a case study research project entitled Housing Insecurity in Mississippi and the resulting exhibition. By using immersive 360? video to place exhibition attendees inside virtual representations of these residential environments, interviewees’ stories are communicated in a rich and immediate way that other methods cannot offer. The VR presentation of the oral histories information asks how the added richness and detail can help convey their stories more effectively with the goal to increasing empathy for the interviewees, increasing public awareness of the conditions of housing insecurity, and motivating public discussions of solutions. This paper explores the process of implementation and reviews the project's potential, results, challenges, and future directions.
keywords	Architecture Survey, Community Engaged Learning, Empathy, Housing Insecurity, Immersive Environments, Oral History, Public History, Virtual Reality
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaade2023_470
id	ecaade2023_470
authors	Sharafi Rohani, Nima and Akçay Kavakoglu, Ayºegül
year	2023
title	AI-Driven Spatial Adaptations Through Emotions: The case of emo-land as a human-centric approach
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 889–898
doi	https://doi.org/10.52842/conf.ecaade.2023.2.889
summary	The research on controlling and interacting with the environment has been accelerated by developments of artificial intelligence (AI) and the internet of things (IoT). While the quest for intelligence has been widely studied, spatial adaptation and human emotion relation remain ambiguous. This initial research attempts to investigate human-centric spatial adaptations through emotions in architecture. A case study called Emo-Land is designed to unfold the real-time relationship between space and emotion recognition. Emo-Land is an interactive spatial augmented reality installation that responds to the real-time emotions of the viewer via face expressions. A deep learning model developed to detect continuous emotions through cameras. By paying attention to the live interactive level of the detail and quality of the interaction between users and the projection mapping, the research demonstrates how advances in technology and computing can contribute to deeper connection and new layers of interactivity. Emo-Land projection mapping has been examined as a case study. According to the results, a relationship is developed between emotion recognition, form, computation, and human-computer interaction. The project contributes to the well-being of occupants, affective computing theory, and AI's role, such as the interaction between technology using affordable technologies.
keywords	Artificial Intelligence, Emotion Recognition, Affective Computing, Spatial Adaptation, Human-Centric Environments, Interactive Design
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2023_161
id	caadria2023_161
authors	Zhao, Mingming, Ding, Cao and Crossley, Tatjana
year	2023
title	Integration of EEG and Deep Learning on Design Decision-Making: A Data-Driven Study of Perception in Immersive Virtual Architectural Environments
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 89–98
doi	https://doi.org/10.52842/conf.caadria.2023.1.089
summary	Immersive virtual reality(IVR) as an emerging architectural design tool is utilized by many architecture firms to assist in better design decision-making. It allows users to immersively experience the simulated architectural environment prior to real construction. However, compared to conventional computational design tools, IVR faces more challenges in assessing the perception of designed simulations and visualizations. This paper attempts to examine the possibilities for incorporating human biological data and deep learning technology into the process of immersive visualization in architectural design. It aims to objectively understand human perception in an immersive virtual architectural environment, and ultimately assist in design decision-making and human-centered architectural design. The study proposes a novel and multidisciplinary use of techniques derived from psychology, computer science, and architecture disciplines to explore how biological data might be understood architecturally and vice versa. It also provides an opportunity to explore ways of using IVR-based computational design in the new metaverse era. The experiment results illustrate that there is a significant correlation between environmental experience and brain activation. It indicates the integration of EEG and deep learning is helpful to perform as complementary tools for better understanding human perception in immersive virtual architectural environments.
keywords	Architectural Design Decision-Making, Eye Tracking, Electroencephalogram(EEG), Convolutional Neural Networks(CNN), Virtual Reality(VR)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	cdrf2023_356
id	cdrf2023_356
authors	Shahin Vassigh, Biayna Bogosian, Eric Peterson
year	2023
title	Performance-Driven VR Learning for Robotics
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_30
summary	The building industry is facing environmental, technological, and economic challenges, placing significant pressure on preparing the workforce for Industry 4.0 needs. The fields of Architecture, Engineering, and Construction (AEC) are being reshaped by robotics technologies which demand new skills and creating disruptive change to job markets. Addressing the learning needs of AEC students, professionals, and industry workers is critical to ensuring the competitiveness of the future workforce. In recent years advancements in Information Technology, Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence (AI) have led to new research and theories on virtual learning environments. In the AEC fields researchers are beginning to rethink current robotics training to counteract costly and resource-intensive in-person learning. However, much of this work has been focused on simulation physics and has yet to adequately address how to engage AEC learners with different learning abilities, styles, and diverse backgrounds. This paper presents the advantages and difficulties associated with using new technologies to develop virtual reality (VR) learning games for robotics. It describes an ongoing project for creating performance driven curriculum. Drawing on the Constructivist Learning Theory, the affordances of Adaptive Learning Systems, and data collection methods from the VR game environment, the project provides a customized and performance-oriented approach to carrying out practical robotics tasks in real-world scenarios.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2023_55
id	caadria2023_55
authors	Anam, Nadia and Tan, Linus
year	2023
title	A Human-Centric Approach to a Design-to-Fabrication Process: A Case of Homeless Housing Design in Melbourne, Australia
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 461–470
doi	https://doi.org/10.52842/conf.caadria.2023.2.461
summary	Recent advancements in computer-aided design (CAD) and computer-aided manufacturing (CAM) have influenced architects to practice more purposeful design processes. However, most previous research have focused on innovating CAD and CAM technologies and less on how to automate the specific needs of users into design-to-fabrication processes. Therefore, this study applies a human-centric design approach to examine how designers can leverage specific and dynamic individual needs in digital design processes to optimise designing of housing. Using research through design, we tested our user-design-fabrication framework with dynamic needs of homeless individuals and 3D printing construction technologies, to design and prototype homeless housing solutions in Melbourne, Australia. This research demonstrates that specific and dynamic occupant needs are leveraged by designer's increased knowledge of digital design processes for 1) greater manipulation of basic software and machines and 2) provision of more individualised homeless housing design solutions. This suggests that there is a need for design researchers to further investigate the role of designers in such digital design processes working with homeless individuals, to foresee the current move in industry for more client-oriented and individualised homeless housing design solutions.
keywords	human-centric design, user-to-design, design-to-fabrication, homeless housing design, client-oriented design
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_60
id	caadria2023_60
authors	Bai, Zishen and Peng, Chengzhi
year	2023
title	Convolutional Neural Network (CNN) Supported Urban Design to Reduce Particle Air Pollutant Concentrations
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 505–514
doi	https://doi.org/10.52842/conf.caadria.2023.1.505
summary	PM2.5 has become a significant factor contributing to the haze outbreak in mainland China, which has negative impacts for public health. The current agility of CFD-based modelling to reveal in real-time the changes in PM2.5 concentrations in response to (proposed) changes in urban form limits its practical applications in the design processes. To support urban design for better air quality (AQ), this study presents a machine learning approach to test: (1) that the spatial distribution of PM2.5 concentrations measured in an urban area reflects the area’s capacity to disperse particle air pollution; (2) that the PM2.5 concentration measurements can be linked to certain urban form attributes of that area. A Convolutional Neural Network algorithm called Residual Neural Network (ResNet) was trained and tested using the ChinaHighPM2.5 and urban form datasets. The result is a ResNet-AQ predictor for the city centre area in Beijing which had one of the highest air pollution levels within the Beijing-Tianjin-Hebei region. The urban area covered by the ResNet-AQ predictor contains 4,000 grid cells (approx. 25.3 km x 25.3 km), of which 1,200 (30%) cells were selected randomly for testing. The ResNet-AQ prediction accuracy achieved 87.3% after 100 iterations. An end-use scenario is presented to show how a social housing project can be supported by the AQ predictor to achieve better urban air quality performance.
keywords	PM2.5, urban form indicators, image classification, Convolutional Neural Network, open urban data
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_384
id	caadria2023_384
authors	Dong, Jiahua, Jiang, Qingrui, Wang, Anqi and Wang, Yuankai
year	2023
title	Urban Cultural Inheritance: Generative Adversarial Networks (GANs) Assisted Street Facade Design in Virtual Reality (VR) Environments Based on Hakka Settlements in Hong Kong
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 473–482
doi	https://doi.org/10.52842/conf.caadria.2023.1.473
summary	In Hong Kong, the Hakka settlements are the home of indigenous people who have been involved in agriculture and fishing for over 200 years, which has a special place in Hong Kong’s history. However, these settlements are gradually being abandoned as ghost towns due to rapid urbanisation, where the city is progressively constructing high-density habitats to accommodate the exponentially increased population since the 1950s. This challenges designers to rethink means of preserving urban cultural heritage, while engaging in continuous urban regeneration processes. This study investigates workflows to detect historical building styles in one of the most densely-populated cities in the world - Hong Kong - that further deployed in human-computer interfaces in the virtual reality (VR) environment as a collaborative and suggestive design -107958641080
keywords	Urban Culture Inheritance, Hakka Settlements, Facade Generation, Human-Computer Interaction (HCI), Virtual Reality (VR)
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_149
id	caadria2023_149
authors	Goepel, Garvin, Guida, George and Loayza Nolasco, Ana Gabriela
year	2023
title	Towards Hyper-Reality – A Case Study Mixed Reality Art Installation
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 383–392
doi	https://doi.org/10.52842/conf.caadria.2023.1.383
summary	This paper reflects on the notion of hyper-reality through the creation of ‘Self-Compass’, an immersive mixed reality art installation. By merging the physical with overlayed digital 3D content, this study proposes a view of current notions of the metaverse as an extension of reality rather than a digitized replacement of it. This was demonstrated by augmenting a modular installation with an immersive digital counterpart through an augmented reality (AR) application accessible through mobile devices. ‘Self-compass’ combines a timber structure and a digital AR overlay into a radial configuration that framed eight views, revealing an historical connection beyond the immediate context, and inviting reflections on the relationship between oneself and place. The AR overlay merges meaning with data, allowing one to rethink the physical through the digital, and providing awareness of our impact on place across time. The paper discusses and evaluates applied methods of merging digital and physical objects through a mixed reality (MR) installation. It expands on current workflows through the development of an AR mobile application and examines simultaneous localization and mapping (SLAM) techniques, essential in the alignment of digital content within real-world environments. The paper concludes by illustrating the potential applications and impact of AR technologies within design practices by augmenting the physical and revealing a new hyper-reality.
keywords	Virtual and Augmented Environments, Mixed-Reality installation, Hyper-Reality
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_437
id	caadria2023_437
authors	Jahanara, Alireza, Suk, Jae Yong and Suk, Jae Yong
year	2023
title	Parametric Design and Analysis of Dynamic Louver for Optimized Daylighting in High-Rise Office Buildings
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 493–502
doi	https://doi.org/10.52842/conf.caadria.2023.1.493
summary	This paper presents an innovative approach to optimize daylighting in high-rise office buildings, through parametric analysis of dynamic shading system designs. This study concentrates on a kinetic shading angle optimization plot to determine the optimum angles of the dynamic horizontal louver shading systems at specific times with integrated operationalization equations and parametric performance simulations. Solar irradiance and daylighting were considered as performance metrics in this research, which investigated the integration process using the operationalization method in order to find an optimal rotational angle of dynamic horizontal louver shading systems at the specified time. In this study, dynamic horizontal louver shading systems were positioned in different orientations (Southeast and Southwest) to evaluate the effect of the shading’s tilt angles on daylighting. To quantify the daylight quality, maximum and average illuminance were obtained from the raw illuminance on the work plane. At the end, the outcomes of the analyses as well as the optimized angle of the dynamic louver shading were compared to a base case with no shading, and the results prove that dynamic louver with the support of an operationalization method to find optimum angle and testing with parametric performance software leads to optimizing the daylighting performance, enhancing it by approximately 14%.
keywords	Parametric Design, Dynamic Louver, Solar Irradiance, Daylighting
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_50
id	caadria2023_50
authors	Jiang, Mingrui and Cai, Chenyi
year	2023
title	Communication With Detroit: Machine Learning in Open Source Community Housing Design
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 49–58
doi	https://doi.org/10.52842/conf.caadria.2023.1.049
summary	Traditional pre-design investigation includes conceptual studies, site analysis, and programming processes to analyze the site and design for users. Instead, designers and architects should consider users' ideas and their actual usage of space, which are recorded and reflected on the social media platform. To introduce more citizens' voices in the design and learn more about people's expression of Detroit city and its housing, we propose to involve the machine learning analysis in the earlier stage of the housing project using users' reflections from social media to support the conceptual design. This paper introduces a novel design framework that deals with the lacking public programs in Detroit using an online data clustering platform and demonstrates a conceptual open-source community housing design according to related findings. This framework incorporates data collection from the Twitter platform, implementation of clustering for user-oriented programs, and design applications based on the findings. Our research demonstrates an efficient and flexible approach to the open-source community housing project.
keywords	Machine learning, Decision making, Social Media, User-oriented design, Open source community
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_250
id	caadria2023_250
authors	Lertsithichai, Surapong
year	2023
title	Metaverse Magnifique: Making Meaningful Metaverses
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 531–540
doi	https://doi.org/10.52842/conf.caadria.2023.2.531
summary	Being immersive online and physically isolated during the COVID-19 pandemic may not be the future of the metaverse we anticipate. Therefore, the rising challenge of creating metaverses does not lie in what novel virtual experiences can be offered but in how to make the experience more meaningful to users. This involves creating an engaging environment for both physical and virtual social interactions and providing equity for a wide range of users. Metaverse Magnifique intends to explore the design of a meaningful metaverse beyond the computer screen. It investigates a combination of the best features of digital and physical environments with human interactions seamlessly conducted and transitioned between the two worlds while also inquiring a better understanding of the changing social norms from fundamental human activities. A series of experimental Proto-metaverse projects based on a critical review of the Metaverse typology are proposed then developed into small-scale designs to highlight a meaningful behavior, action, task, or activity. The projects are then coupled with a physical site and extended into a full-fledged metaverse project integrated within the city. The projects showcase meaningful experiences by translating visual and spatial elements then enabling AI assistive features for better communication or interpretation of subtle interaction nuances.
keywords	Metaverse, Virtual Reality, Augmented Reality, Mixed Reality, Artificial Intelligence, Digital Twin, Spatial Elements, User Experiences
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_238
id	caadria2023_238
authors	Li, Shuyang, Sun, Chengyu and Zou, Mingyan
year	2023
title	Indispensable Effects of Surrounding Avatars in VR-based Wayfinding Experiments
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 431–440
doi	https://doi.org/10.52842/conf.caadria.2023.2.431
summary	Virtual reality technologies facilitate the presentation of the indoor and outdoor environment, enabling researchers to conduct environmental behaviour experiments and evidence-based design research with great feasibility. However, most previous environmental behaviour research based on VR technologies did not consider the surrounding crowd, especially wayfinding-related research. Thus, from a human-centric perspective, the credibility of these studies will be greatly argued. Are the avatars indispensable in the virtual environment? To answer this question, we designed a comparative test including three scenarios: the virtual environment without avatars, data-driven avatars in the virtual environment, and agent-based avatars in the virtual environment. Taking the Satellite Terminal of Shanghai Pudong International Airport as a study case, we developed an online VR wayfinding experiment platform. 435 participants were invited to this experiment, their wayfinding performance will be recorded and then analysed and visualisation. The results demonstrate that the presence or absence of avatars significantly impacts the participants' decision-making time in virtual environments. Besides, the distribution and movement of avatars may affect the participants' wayfinding behaviour. This study highlights the importance of avatars in VR-based experiments and validates the feasibility of data-driven avatars replicating real-world crowds.
keywords	Metaverse, Virtual Reality, Avatars, Online Experiment, Wayfinding, Transportation Building
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_80
id	caadria2023_80
authors	Li, Weiqiong, Lo, Tiantian and Guo, Xiangmin
year	2023
title	Exploring the Application of the Digital Gamification Mechanisms to the Experience of Physical Architectural Exhibitions
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 717–726
doi	https://doi.org/10.52842/conf.caadria.2023.1.717
summary	This study aims to respond to the 'human-centred' theme of digital heritage and visualisation by exploring a new approach to applying gamification mechanisms to design physical architectural exhibitions. This paper analyses the current exhibition's gamification design in three parts-core drivers, defining characteristics and development models. Then constructs a design model for "digital gamification". The history museum of Harbin Institute of Technology (Shenzhen) is selected as an example to conduct an empirical investigation. Finally, future experiments are proposed to evaluate the design process's effects on improving the platform's design. It is expected that the demonstration of this study will enrich the exploration of the application of the emerging design method of digital gamification mechanism in exhibition design. On the one hand, it attempts to construct the relationship between the influence of digital gamification mechanisms on the tangible and intangible information in the audience's cognitive space, thus providing new ideas for designing cultural experiences in future exhibition spaces. On the other hand, it gives new vitality to the exhibition design and enhances the audience's motivation to interact, which helps to expand cultural communication's influence.
keywords	Exhibition space, Experiential mechanism, Digital interaction, Gamification, Extended reality
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_412
id	caadria2023_412
authors	Li, Yuanyuan, Huang, Chenyu and Yao, Jiawei
year	2023
title	Optimising the Control Strategies for Performance-Driven Dynamic Building Facades Using Machine Learning
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 199–208
doi	https://doi.org/10.52842/conf.caadria.2023.1.199
summary	The balance between energy consumption and indoor environmental comfort is a continuing research topic in building energy efficiency. The dynamic façades (DF) are considered a practical approach to separate the sun and create more shadows for buildings with curtain walls, reducing the HVAC system's energy consumption. However, the design complexity of the DF leads to a time-consuming simulation process, making it difficult to modify the design parameters in the early design stage efficiently. This paper provides optimized control strategies for four dynamic façade prototypes. We use explainable machine learning to explore the relationship between design parameters of DF and indoor performance, including Energy Use Intensity (EUI) and Daylight Glare Probability (DGP). We deployed the trained model in optimizing the rotation angle of DF per hour on a typical day to minimize the EUI and DGP of the target room. The results show that the rotation angle of DF significantly affects the DGP, whereas the room size affects EUI performance more than rotation angles. Optimized control strategies of DF bring a maxim 13.5% EUI decrease and 51.7% reduction of DGP. Our work provides a generalizable design flow for performance-driven dynamic skin design.
keywords	Dynamic façade, Energy consumption, Indoor comfort, computational simulation, Multi-objective optimization, Machine learning
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_27
id	caadria2023_27
authors	Lombardia, Alba, Schroepfer, Thomas, Silva, Arlindo and Banon, Carlos
year	2023
title	Crop-Centric Agricultural Potential of Urban Surfaces: A Sunlight-Based Computational Approach for Food Security
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 573–582
doi	https://doi.org/10.52842/conf.caadria.2023.2.573
summary	Urban agricultural systems will be configured over the following years to respond to increasing climate change, urbanisation, and population growth. Controlled environment agriculture (CEA) is an increasing trend since it can be easily integrated into the built environment. However, this food production system requires intensive capital and energy resources, with artificial lighting as the primary contributor to its high operational impacts. New methods and tools for planning and design can provide innovative solutions for shifting urban agriculture toward sustainability. This paper addresses the food security challenge in cities by introducing a sunlight-based computational approach for indicating the agricultural possibilities of three-dimensional urban surfaces according to crop-centric environmental suitability. The procedure aims to improve CEA efficiency through a passive natural lighting optimisation strategy, indicating the sunlight thresholds for various crop species. The methodology interconnects solar radiation values measured through sunlight simulations with crops’ daily light integrals, using Singapore and Chennai (India) as case studies. The results suggest that urban areas with high solar radiation levels possess large degrees of year-round harvesting potential. This methodology can assist designers (architects, urban planners, and engineers) and local governments in strategizing urban agriculture developments and provide decision-making support for crop harvesting initiatives in cities.
keywords	Food Security, Urban Agriculture, Solar Radiation, Daily Light Integral, Sunlight Simulation
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_187
id	caadria2023_187
authors	Lopez Rodriguez, Alvaro and Pantic, Igor
year	2023
title	Augmented Environments: The Architecture for the Augmented Era
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 403–412
doi	https://doi.org/10.52842/conf.caadria.2023.1.403
summary	Human imagination has played with the idea of an alternative technological world for years. From dystopian proposals like Neuromancer or The Matrix to more positive views like the recent Upload series, the exploration of the friction between the digital world and the physical world has entertained the imagination of our society for decades. Outside the fictional environments, the omnipresence of the internet and the development of “the cloud” are showing that the virtual world is possible and that the idea of a Metaverse is no longer part of science fiction but a very real future for human relations (Winters 2021). In line with the idea of the Metaverse, the intersection of the virtual and the physical world is being explored through the idea of Extended Realities. Technology is allowing humans to enhance their capabilities more than ever, and in fact, it has been proposed that we are entering the Augmented era (King 2014). This paper explores the opportunities and possible challenges that “Extended Architecture” has by analyzing a research project based on augmented reality as the media to explore these ideas. This project will propose a speculative approach to how the fact that in the recent future, everyone will have access to an AR device will change the way we perceive and understand our architectural environment.
keywords	Work in progress, Virtual and Augmented Environments, Disruptive Modes of Practice and Pedagogy, Extended Realities, Machine Learning
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_362
id	caadria2023_362
authors	Luo, Jiaxiang, Mastrokalou, Efthymia, Aldabous, Rahaf, Aldaboos, Sarah and Lopez Rodriguez, Alvaro
year	2023
title	Fabrication of Complex Clay Structures Through an Augmented Reality Assisted Platform
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 413–422
doi	https://doi.org/10.52842/conf.caadria.2023.1.413
summary	The relationship between clay manufacturing and architectural design has a long trajectory that has been explored since the early 2000s. From a 3D printing or assembly perspective, using clay in combination with automated processes in architecture to achieve computational design solutions is well established. (Yuan, Leach & Menges, 2018). Craft-based clay art, however, still lacks effective computational design integration. With the improvement of Augmented Reality (AR) technologies (Driscoll et al., 2017) and the appearance of digital platforms, new opportunities to integrate clay manufacturing and computational design have emerged. The concept of digitally transferring crafting skills, using holographic guidance and machine learning, could make clay crafting accessible to more workers while creating the potential to share and exchange digital designs via an open-source manufacturing platform. In this context, this research project explores the potential of integrating computational design and clay crafting using AR. Moreover, it introduces a platform that enables AR guidance and the digital transfer of fabrication skills, allowing even amateur users with no prior making experience to produce complex clay components.
keywords	Computer vision, Distributed manufacturing, Augmented craftsmanship, Augmented reality, Real-time modification, Hololens
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_300
id	caadria2023_300
authors	Okhoya, Victor and Bernal, Marcelo
year	2023
title	Variability in Machine Learning for Multi-Criteria Performance Analysis
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 149–158
doi	https://doi.org/10.52842/conf.caadria.2023.1.149
summary	Parametric analysis is emerging as an important approach to building performance evaluation in architectural practice. Since architectural performance has many competing metrics multi-criteria analysis is required to deal effectively with the complexity. However, multi-criteria parametric analysis involves large design spaces that are expensive to compute. Machine learning is emerging as an important design space reduction method for multi-criteria analysis. However, there are many types of machine learning algorithms and architects can benefit from understanding which algorithms perform well on which tasks. Using a mid-rise commercial residential tower project this paper investigates three common machine learning algorithms for performance against three common performance metrics. The algorithms are multi-layer perceptrons, support vector machines, and random forests, while the metrics are site energy, illuminance, and a value function that combines them both. In addition, we seek to understand what factors are most impactful in improving algorithm performance. We investigate four impact factors namely sample size, sensitivity analysis, feature selection, and hyperparameters. We find that multi-layer perceptrons perform best for all three performance metrics. We also find that hyperparameter tuning is the most impactful factor affecting multi-layer perceptron performance.
keywords	parametric analysis, machine learning, design space
series	CAADRIA
email
last changed	2023/06/15 23:14

For more results click below: