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 609

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

_id	cdrf2022_293
id	cdrf2022_293
authors	Amal Algamdey, Aleksander Mastalski, Angelos Chronis, Amar Gurung, Felipe Romero Vargas, German Bodenbender, and Lea Khairallah
year	2022
title	AI Urban Voids: A Data-Driven Approach to Urban Activation
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_26
summary	With the development of digital technologies, big urban data is now readily available online. This opens the opportunity to utilize new data and create new relationships within multiple urban features for cities. Moreover, new computational design techniques open a new portal for architects and designers to reinterpret this urban data and provide much better-informed design decisions. The “AI Urban Voids'' project is defined as a data-driven approach to analyze and predict the strategic location for urban uses in the addition of amenities within the city. The location of these urban amenities is evaluated based on predictions and scores followed by a series of urban analyses and simulations using K-Means clustering. Furthermore, these results are then visualized in a web-based platform; likewise, the aim is to create a tool that will work on a feedback loop system that constantly updates the information. This paper explains the use of different datasets from Five cities including Melbourne, Sydney, Berlin, Warsaw, and Sao Paulo. Python, Osmx libraries and K-means clustering open the way to manipulate large data sets by introducing a collection of computational processes that can override traditional urban analysis.
series	cdrf
email
last changed	2024/05/29 14:02

_id	sigradi2022_191
id	sigradi2022_191
authors	Hemmerling, Marco
year	2022
title	INTERCOM 2.0 – A web-based platform for collaborative design processes
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 823–832
summary	Next to the advantages of consistent 3D planning, the Building Information Modeling (BIM) method also places new demands on the actors and thus primarily causes a change in the way of working. Against this background the paper discusses the development of the web-based BIM platform INTERCOM for collaborative planning processes in academia and AEC that enables monitoring, processing and assessment in a location and time independent environment. In addition to the technical advantages, a deeper, active and flexible discussion is intended to be created, involving all project partners. As such, INTERCOM is based on the openBIM idea and provides open access for all participants with a high degree of networking for solving complex planning tasks. The research showcases a further development of a previously implemented prototype and discusses the findings from the first academic projects, focussing on the collaborative workflow and the decision making throughout the design process.
keywords	Building Information Modeling (BIM), Collabroative Design Process, Common Data Environment (CDE), Architecture Curriculum
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	cdrf2022_223
id	cdrf2022_223
authors	Zhiyi Dou, Waishan Qiu, Wenjing Li, Dan Luo
year	2022
title	Evaluation Process of Urban Spatial Quality and Utility Trade-Off for Post-COVID Working Preferences
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_19
summary	The formation of cities, and the relocation of workers to densely populated areas reflect a spatial equilibrium, in which the higher real consumption levels of urban areas are offset by lower non-monetary amenities [1]. However, as the society progress toward a post-COVID stage, the prevailing decentralized delivery systems and location-based services, the growing trend of working from home, with citizens’ shifting preference of de-appreciating densities and gathering, have not only changed the possible spatial distribution of opportunities, resources, consumption and amenities, but also transformed people’s preference regarding desirable urban spatial qualities, value of amenities, and working opportunities [2, 3]. This research presents a systematic method to evaluate the perceived trade-off between urban spatial qualities and urban utilities such as amenities, transportation, and monetary opportunities by urban residence in the post-COVID society. The outcome of the research will become a valid tool to drive and evaluate urban design strategies based on the potential self-organization of work-life patterns and social profiles in the designated neighbourhood. To evaluate the subjective perception of the urban residence, the study started with a comparative survey by asking residence to compare two randomly selected urban contexts in a data base of 398 contexts sampled across Hong Kong and state their living preference under the presumption of following scenarios: 1. working from home; 2. working in city centre offices. Core information influencing the spatial equilibrium are provided in the comparable urban context such as street views, housing price, housing space, travel time to city centre, adjacency to public transport and amenities, etc. Each context is given a preference score calculated with Microsoft TrueSkill Bayesian ranking algorithm [4] based on the comparison survey of two scenarios. The 398 contexts are further analysed via GIS and image processing, to be deconstructed into numerical values describing main features for each of the context that influence urban design strategies such as composition of spatial features, amenity allocation, adjacency to city centre and public transportations. Machine learning models are trained with the numerical values of urban features as input and two preference scores for the two working scenarios as the output. The correlation heat maps are used to identify main urban features and its p-value that influence residence’s preference under two working scenarios in post–COVID era. The same model could also be applied to inform the direction of urban design strategies to construct a sustainable community for each type of working population and validate the design strategies via predicting its competitiveness in attracting residence and developing target industries.
series	cdrf
email
last changed	2024/05/29 14:02

_id	caadria2022_74
id	caadria2022_74
authors	Mazza, Domenico, Kocaturk, Tuba and Kaljevic, Sofija
year	2022
title	Geelong Digital Outdoor Museum (GDOM) - Photogrammetry as the Surface for a Portable Museum
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 677-686
doi	https://doi.org/10.52842/conf.caadria.2022.1.677
summary	This paper presents the development and evaluation of the Geelong Digital Outdoor Museum (GDOM) prototype accessible at https://gdom.mindlab.cloud. GDOM is a portable museum‚our novel adaptation of the distributed museum model (Stuedahl & Lowe, 2013) which uses mobile devices to present museum collections attached to physical sites. Our prototype defines a way for intangible heritage associated with tangible landscapes to be accessible via personal digital devices using 360 3D scanned digital replicas of physical landscapes (photogrammetric digital models). Our work aligns with efforts set out in the UN Sustainable Development Goal 11 (SDG 11) to safeguard cultural and natural heritage, by openly disseminating the heritage of physical sites seamlessly through the landscape. Using a research by design methodology we delivered our prototype as a modular web-based platform that leveraged the Matterport digital model platform. We qualitatively evaluated the prototype's usability and future development opportunities with 32 front-end users and 13 potential stakeholders. We received a wide gamut of responses that included: users feeling empowered by the greater accessibility, users finding a welcome common ground with comparable physical experiences, and users and potential stakeholders seeing the potential to re-create physical world experiences with modifications to the digital model along with on-site activation. Our potential stakeholders suggested ways in which GDOM could be integrated into the arts, education, and tourism to widen its utility and applicability. In future we see design potential in breaking out of the static presentation of the digital model and expanding our portable museum experience to work on-site as a complement to the remote experience. However, we recognise the way in which on-site activation integrate into users' typical activities can be tangential (McGookin et al., 2019) and this would necessitate further investigation into how to best integrate the experience on-site.
keywords	Cultural Heritage, Intangible Heritage, Digital Heritage, Web Platform, 3D Scanning, Photogrammetry, Digital model, Portable Museum, Distributed Museum, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2022_65
id	cdrf2022_65
authors	Nicolas Stephan, Marine Lemarié, and Kristina Schinegger
title	Common Ground—Online Platforms for Bottom-Up Collaborative Decision Making in Design Education
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_6
summary	Co-creation and real-time collaboration have always been an integral potential of digital design methodologies and have been accelerated by the rapid digitalization of teaching due to current societal developments. This paper discusses the prototype of a real-time multiplayer building platform as a video game developed for a first-year design studio impacted by pandemic-related teaching restrictions. The aim was to develop a methodology that enables first-year students to meet peers, build models collaboratively, and teach implicit design knowledge such as aesthetics and formal analysis while allowing individual creativity within the populous class. Through a combination of a step-by-step iterative design system and a real-time decentralized multi-player platform, students can work collaboratively on common digital designs. The design method is based upon building units and individualized strategies of aggregation and differentiation that are built up into larger structures. Special focus is paid to how new online platforms created for architecture education can migrate the advantages of physical intuitive design methods to a digital setting and eventually fill the gap of lacking implicit knowledge pedagogies.
email
last changed	2024/05/29 14:02

_id	sigradi2022_141
id	sigradi2022_141
authors	Teixeira, Luisa
year	2022
title	Mapping digital platforms: the delivery apps controversy
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1101–1112
summary	This article addresses the topic of digital delivery platforms and their performance in the city, especially in the period of the covid-19 pandemic. In a critical essay based on case examples from the city of Rio de Janeiro, we address some key issues that the development of this type of platform generates for existing delivery services, now potentiated by a period of social isolation where this demand has increased considerably. The so-called platform labor is understood as a phenomenon that intensifies social conflicts, leading both to the organization of resistance and to the search for solutions that necessarily involve the development of alternative digital platforms. On the other hand, the proliferation of dark stores and ghost kitchens also affects the lived experience in the city, giving rise to a series of other concerns that deserve greater attention.
keywords	Smart cities, Mapping controversies, Delivery apps, Dark sotre, Ghost kitchen
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	caadria2022_54
id	caadria2022_54
authors	Zhuang, Dian and Shi, Xing
year	2022
title	Building Information Modelling based Transparent Envelope Optimization Considering Environmental Quality, Energy and Cost
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 537-546
doi	https://doi.org/10.52842/conf.caadria.2022.2.537
summary	The balance of energy consumption, indoor environmental satisfaction and cost is a continuing challenge in the field of building energy efficiency research. Building transparent envelope play a key role in building energy-saving design. While in existing BIM system, the separation of component family and local supply chain hinders the integrated performance evaluation and design. This paper proposes a general sustainable performance optimization model for transparent envelope design from the product perspective. A performance data integrated BIM technique framework, linking BIM with multi-dimension performance data stored in external database, is introduced as the foundation of local supply chain based optimization process. A multi-objective optimization model for window components is constructed for the early design stage. Three comprehensive design targets in the engineering practice, energy consumption, life cycle cost and IEQ are evaluated and optimized, representing the concern from government, developer and occupant, respectively. Autodesk Revit as the technique platform, its internal material library and adaptive component system are directly integrated for model control and feedback. An optimization tool is developed as an individual plug-in for user interaction and performance visualization. As a case study, the multi-objective optimization process is applied to design a school building in China.
keywords	BIM, multi-objective optimization, transparent envelope, sustainable performance, SDG 3, SDG 7, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2022_3
id	cdrf2022_3
authors	Deli Liu and Keqi Wang
year	2022
title	Spatial Analysis of Villages in Jilin Province Based on Space Syntax and Machine Learning
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_1
summary	The development of machine learning technology gives architects and urban planners a new tool that can be used for research and design. The topic of this paper is to analyze the rural space of Jilin Province with the machine learning algorithms and space syntax theory, and to obtain the inherent formation and development laws of rural spatial forms, which can be used as a reference and evaluation system for subsequent rural development, and also can emphasize the locality and continuity of rural development. First, based on geographic information data, researching the connection between the distribution of villages and geographic data at a macro level and to classify them. Then, from each category, selecting one township and use all villages in its area as samples for the more specific study. Spatial features of individual village are extracted based on space syntax theory, and representative spatial features which can as feature values for cluster analysis are selected through comparative analysis. Then classify villages from high-dimensional data and explore their type characteristics. Finally, we hope the result of this study can help provide useful theoretical references for rural construction and nature conservation in the future.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_199
id	cdrf2022_199
authors	Jingming Li
year	2022
title	Using Text Understanding to Create Formatted Semantic Web from BIM
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_17
summary	The application of BIM in the building life cycle needs to be continuous. The information collected and accumulated in the early stages should flow to the subsequent phases. However, BIM applications currently focus on collision inspection, compliance inspection, and engineering calculation, few models can be successively used in the following stages. Remodeling is required in the operation and maintenance period, resulting in waste. Meanwhile, some of the information accumulated by BIM might be frequently used in the operation and maintenance stage, while some data are relatively rarely used. The semantic web can help manage building information at all stages. But the generation of a semantic web is mostly manually completed. It is necessary to standardize the repeated semantic description in the model and convert BIM into a standard semantic model for information indexing, reducing the resource consumption of model loading and optimizing the efficiency of the operation and maintenance system. When the existing research transforms from BIM to the semantic web, there will be a lack of information and descriptions of the ownership relationship between entities due to the limitation of formats. To realize the standard transformation from BIM to the semantic web, this work proposes a method of using Natural Language Processing (NLP) to understand the text and infer the relationship between entities according to the knowledge map. First, the entities are extracted from BIM, such as air conditioning unit, electric lamp, fan, etc., if the name of the extracted entity is irregular, the names are translated with the help of NLP and Ontology (such as brick or haystack) to obtain the standard definition. By comparing the complete knowledge graph (such as the knowledge graph of the air conditioning system), the relationships can be deduced, and then a standardized semantic model can be generated.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_209
id	cdrf2022_209
authors	Yecheng Zhang, Qimin Zhang, Yuxuan Zhao, Yunjie Deng, Feiyang Liu, Hao Zheng
year	2022
title	Artificial Intelligence Prediction of Urban Spatial Risk Factors from an Epidemic Perspective
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_18
summary	From the epidemiological perspective, previous research methods of COVID-19 are generally based on classical statistical analysis. As a result, spatial information is often not used effectively. This paper uses image-based neural networks to explore the relationship between urban spatial risk and the distribution of infected populations, and the design of urban facilities. We take the Spatio-temporal data of people infected with new coronary pneumonia before February 28 in Wuhan in 2020 as the research object. We use kriging spatial interpolation technology and core density estimation technology to establish the epidemic heat distribution on fine grid units. We further examine the distribution of nine main spatial risk factors, including agencies, hospitals, park squares, sports fields, banks, hotels, Etc., which are tested for the significant positive correlation with the heat distribution of the epidemic. The weights of the spatial risk factors are used for training Generative Adversarial Network models, which predict the heat distribution of the outbreak in a given area. According to the trained model, optimizing the relevant environment design in urban areas to control risk factors effectively prevents and manages the epidemic from dispersing. The input image of the machine learning model is a city plan converted by public infrastructures, and the output image is a map of urban spatial risk factors in the given area.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_187
id	cdrf2022_187
authors	Yunqin Li, Nobuyoshi Yabuki, and Tomohiro Fukuda
year	2022
title	A Virtual Reality-Based Tool with Human Behavior Measurement and Analysis for Feedback Design of the Indoor Light Environment
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_16
summary	Human behavior data provides essential feedback information for architects to improve a human-centered indoor light environment design. However, architects have difficulty capturing the complex, multidimensional, and unpredictable behavior of humans, often struggle to get users’ feedback on time in the schematic phase. This paper proposes a new virtual reality-based behavioral measurement and assessment tool that quantitatively collects and analyzes individual behavioral data, including travel trajectory, travel time, and gaze points, to reveal user experience and interaction of light, aiming to better help architects get timely feedback from users and create human-centered indoor light environment designs in the scheme optimization phase. To showcase this tool, we utilize an exhibition hall of a museum design as an illustrative example. The experiment demonstrates the feasibility of the proposed tool, and its results suggest that different lighting schemes influence human behavior patterns and that the introduction of natural light usually stimulates more movement. The developed virtual reality tool prototype provides valuable visual information and statistics for analyzing human behavior and evaluating indoor light environment design schemes.
series	cdrf
email
last changed	2024/05/29 14:02

_id	ascaad2022_043
id	ascaad2022_043
authors	Awan, Abeeha; Prokop, Simon; Vele, Jiri; Dounas, Theodor; Lombardi, Davide; Agkathidis, Asterios; Kurilla, Lukas
year	2022
title	Qualitative Knowledge Graph for the Evaluation of Metaverse(s) - Is the Metaverse Hype or a Promising New Field for Architects?
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 99-116
summary	With the advancement of augmented and virtual reality technologies both in scale as well as accessibility, the Metaverse (Stephenson, 1992, Hughes, 2022) has emerged as a new digital space with potential for the application of architectural creativity and design. With blockchain integration, the concept of the Metaverse shows promise in creating a “decentralised” space for design and creativity with rewards for its participants. As a platform that incorporates these technological components, does the Metaverse have utility for architectural design? Is there something truly novel in what the Metaverse brings to architectural computing, and architectural design? The paper constructs a qualitative knowledge graph that can be used for the evaluation of various kinds of Metaverses in and for architectural design. We use Design Science Research methods to develop the knowledge graph and its evaluative capacity, stemming from our experience with two Metaverses, Decentraland and Cryptovoxels. The paper concludes with a discussion of knowledge and practice gaps that are evident, framing the opportunities that architects might have in the future in terms of developing Metaverse(s).
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	ijac202220214
id	ijac202220214
authors	Baghi, Ali; Saleh Kalantari; Aryan Baghi
year	2022
title	Reconfigurable molds and a fabrication-aware design tool for manufacturing concrete grid structures
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 420–433
summary	The design and manufacturing of concrete elements need to be reconsidered in light of current trends in architectural geometry. Today, there is a movement toward greater customization and adaptability of concrete elements using “reconfigurable formworks” and “additive manufacturing.” Our study approached the issue of fabricating non-standardized concrete elements from the perspective of a “reconfigurable fabrication platform.” Specifically, we developed a method of fabricating geometrically diverse concrete joints by combining flexible pressure-enduring tubes with a rigid mechanism, resulting in an adaptive concretecasting machine. This platform, which we named “Flexi-node,” can be used in conjunction with a relevant fabrication-aware digital design tool. Users can computationally design and fabricate a great variety of concrete joints using just one mold, with a minimum of material waste and with no distortion from hydrostatic pressure as would typically occur in a fully flexible formwork
keywords	Reconfigurable formwork, concrete casting, concrete joints, fabrication-aware design tool
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_285
id	ecaade2022_285
authors	Brasil, Alexander and Martinez, Andressa
year	2022
title	Potential for Social Housing Mass Customization in Brazil through the Integration between BIM and Algorithmic-Parametric Modeling
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 347–356
doi	https://doi.org/10.52842/conf.ecaade.2022.2.347
summary	This paper presents a design system for low-cost production of mass customized housing units, in the context of the city of Teresina, in Piaui State, Brazil. The platform stands for the integration between Building Information Modeling (BIM) and algorithmic parametric modeling systems. The research aims to verify the potential of this integration to enable the mass customization of social housing during the design process through the automation of design solutions and real-time visualization of construction data, such as building schedule and estimation of the final cost. The results demonstrated that real-time manipulation and visualization of data related to construction, using specific algorithmic- parametric routines, is capable of aiding designers in developing a solution that matches specific demands with cost and scheduling estimation control in a short period of time.
keywords	Housing, Mass customization, Algorithmic-Parametric Modeling, BIM
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_245
id	caadria2022_245
authors	Chai, Hua, Guo, Zhixian, Wagner, Hans Jakob, Stark, Tim, Menges, Achim and Yuan, Philip F.
year	2022
title	In-Situ Robotic Fabrication of Spatial Glulam Structures
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 41-50
doi	https://doi.org/10.52842/conf.caadria.2022.2.041
summary	While current approaches in timber construction stress the advantages of off-site prefabrication, glued laminated timber(glulam) structures is limited to the constraints of standardized, prefabricated mostly linear elements, which also lends itself only to building typologies that offer an increased level of standardization and regularity. The design freedom of timber structures is incomparable to that of reinforced concrete structures, which mostly gains from the in-situ fabrication process. An in-situ robotic timber fabrication platform allows the on-site construction of glulam structures with highly differentiated networks of beams composed of robotically assembled discrete linear elements. Based on the possibilities of such mobile robotic fabrication process, this paper explores novel architectural typologies of spatial glulam structures. The research is conducted from several aspects including joint tectonics, design method, and robotic fabrication process. A large-scale pavilion is designed and fabricated to verify the feasibility of the proposed system. This research could provide a novel mode of in-situ robotic timber fabrication and corresponding glulam structure system for timber construction.
keywords	Mobile Robot, Timber Structure, In-situ Fabrication, Computational Design, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_48
id	caadria2022_48
authors	Jeong, Joowon, Chen, Qinchuan, Kim, Nayeon and Lee, Hyunsoo
year	2022
title	Virtual Reality Collaborative Platform for E-learning: Analysis of Student Engagement and Perceptions
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 19-28
doi	https://doi.org/10.52842/conf.caadria.2022.1.019
summary	In this paper, we discuss the potential of using virtual reality collaborative platforms for e-learning to improve the quality of online education. First, we explore the characteristics of existing online platforms that can be used for e-learning. Second, we present a method for creating a Virtual Reality Collaborative Environment (VRCE) for e-learning using an online platform, namely FrameVR. Third, an experiment is conducted to investigate participants' behavioural and emotional engagement when using Zoom and the VRCE for online learning. Valid survey data from twenty-two participants are analysed. Then, participants are interviewed about their perceptions of using a VRCE for e-learning. The results of the experiment confirm that using a VRCE can increase student engagement, especially emotional engagement compared to Zoom. However, the findings also suggest that there is still room for improvement in the use of VRCE for e-learning. Therefore, further suggestions are made on the drawbacks of VRCE to improve the user experience. This paper provides insight into incorporating VRCE to enhance the e-learning experience and contribute to the development of online education.
keywords	Virtual Reality Collaborative Environment, E-Learning, FrameVR, Online Education, SDG 4
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_15
id	sigradi2022_15
authors	Jiang, Wanzhu; Wang, Jiaqi
year	2022
title	Autonomous Collective Housing Platform: Digitization, Fluidization and Materialization of Ownership
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 15–26
summary	New social phenomena like digital nomads urge an upgrade in housing ownership. This research proposes an autonomous housing platform that shapes residential communities into adaptive and reconfigurable systems, framing a cycle of digitalization, fluidization and materialization of housing ownership. Specifically, the interactive interface carries the flexible ownership model that uses virtual space voxels as digital currency; the artificial intelligence algorithm drives the multilateral ownership negotiation and circulation, and modular robots complete the mapping from ownership status to real spaces. Taking project TESSERACT as a case study, we verified the feasibility of this method and presented expected co-living scenarios: the spaces and ownership are constantly adjusted according to demands and are always in the closest interaction with users. By exploring the ownership evolution, this research guides an integrated and inclusive housing system paradigm, triggering critical evaluation of traditional models and providing new ideas for solving housing problems in the post-digital era.
keywords	Agent-Based Systems, Digital Platform, Housing Ownership, Space Planning Algorithm, Discrete Material System
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	caadria2022_464
id	caadria2022_464
authors	Liu, Xinyu and van Ameijde, Jeroen
year	2022
title	Data-driven Research on Street Environmental Qualities and Vitality Using GIS Mapping and Machine Learning, a Case Study of Ma On Shan, Hong Kong
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 485-494
doi	https://doi.org/10.52842/conf.caadria.2022.1.485
summary	In a post-carbon framework, data-driven methods can be used to assess the environmental quality and sustainability of urban streetscape. Streets are an important part of people's daily lives and provide places for social interaction. Therefore, in this study, the relationship between street quality and street vibrancy is measured using the new town of Ma On Shan, Hong Kong as a study area. Firstly, machine learning was used to identify the physical features of streets through geographic information collection and streetscape image acquisition. Secondly, previous measurement algorithms are combined to calculate the greenness, walkability, safety, imageability, enclosure, and complexity of streets. Thirdly, secondary calculations and visualisations were carried out on a Geographic Information System (GIS) platform to observe the current distribution of street qualities. Finally, the relationship between street quality and vibrancy was analysed using SPSS statistical analysis software. The results show that walkability has a positive effect on street vitality, whereas safety and complexity have a negative effect on street vitality. This study demonstrates how the quantitative assessment of urban street environments can be used as a reference for building a green, low-carbon, healthy, and walkable city.
keywords	Street Quality, Geographic Information Systems, Machine Learning, Image Segmentation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_424
id	caadria2022_424
authors	May, Kieran, Walsh, James, Smith, Ross, Gu, Ning and Thomas, Bruce
year	2022
title	UnityRev - Bridging the gap between BIM Authoring platforms and Game Engines by creating a Real-Time Bi-directional Exchange of BIM data
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 527-536
doi	https://doi.org/10.52842/conf.caadria.2022.2.527
summary	We present UnityRev: An open-source software package that enables a workflow designed to facilitate a real-time bi-directional and synchronous exchange of Building Information Modelling (BIM) data, by creating a direct link between a BIM authoring platform (i.e. Autodesk Revit) and a game engine (i.e. Unity 3D). Although previous works have explored the integration of BIM with game engines, the currently available tools are limited to a non-synchronous or uni-directional exchange of BIM data, and they do not address specific design issues required to make a BIM authoring platform and game engine compatible (i.e. parametric modelling). This paper describes our software which consists of a compact overview of the system, including design decisions, implementation details, and system capabilities. Two example applications are presented as concept demonstrators to -10795864108000showcase practical collaborative use-case scenarios between BIM authoring platforms and game engines which were not previously achievable without a real-time bi-directional workflow. This work will expand future Computer Aided Architectural Design (CAAD) research, and more specifically, Virtual Reality (VR)/Augmented Reality (AR) based BIM development and integration, by providing new possibilities and bridging the gap between BIM authoring platforms and game engines. The application of the system as demonstrated in the paper for real-time lighting performance simulation contributes to achieving the UN Sustainable Development Goal 11: Sustainable Cities and Communities.
keywords	building information modelling, game engines, revit, unity, virtual reality, augmented reality, lighting performance simulation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ascaad2022_121
id	ascaad2022_121
authors	Mohsen, Hiba; Tohme, Mohamad; Nashi, Rawan
year	2022
title	From Passive to Immersive: Metaverse as a Pedagogical Approach in History Class: Presenting a Constant Reminder of Historical Remnants and a Customizable Reality for Future Preferences; Beirut as a Case Study
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 202-219
summary	It is widely acknowledged that passive, non-immersive strategies of teaching adopted in history classes in Lebanon do not offer the right platform for knowledge retention in students. With that said, virtual reality and the use of Metaverse as a pedagogical approach is prophesied as the most apt to invoke a positive attitude from children towards the topic being studied, and thus, in this case, it increases their awareness of the existing built heritage they live amidst. This research sets out from a recent project implemented by Beirut Arab University, together with three UN agencies. The latter aimed for “developing children emotional attachment to the territory of Beirut Blast through activating their participation in the construction of cognitive maps by playing with spatial maps strategically designed in a game environment”. A thorough assessment of the outcomes of the activities implemented throughout the project, including the executed physical models and game boards that simulate myriad neighborhoods in Beirut, is carried out, followed by an analytical comparison of these outcomes with those from using the proposed innovative digital tools. A pilot study is conducted on Martyr’s square to assess how virtual tools can enhance the sensory experience and perception of the built space, making youth active learners rather than passive. It illustrates how introducing children to educating architecture from a young age not only nurtures their awareness of their local neighborhoods, but also generates responsible citizens. The outcome of this study can be divided over a timeline of past, present, and future. The virtual recreation of old Beirut aims to enhance the virtual learning experience as opposed to that from books and chalkboards. Children are expected to formulate a better understanding of their heritage, become more attached to the remnants of the latter, and set out to customize the reality to their preferences or vision of how a better, sustainable Beirut looks like.
series	ASCAAD
email
last changed	2024/02/16 13:38

For more results click below: