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	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
doi	https://doi.org/10.52842/conf.caadria.2023.1.199
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
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	caadria2022_394
id	caadria2022_394
authors	Li, Yuanyuan, Huang, Chenyu, Zhang, Gengjia and Yao, Jiawei
year	2022
title	Machine Learning Modeling and Genetic Optimization of Adaptive Building Facade Towards the Light Environment
doi	https://doi.org/10.52842/conf.caadria.2022.1.141
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. 141-150
summary	For adaptive facades, the dynamic integration of architectural and environmental information is essential but complex, especially for the performance of indoor light environments. This research proposes a new approach that combines computer-aided design methods and machine learning to enhance the efficiency of this process. The first step is to clarify the design factors of adaptive facade, exploring how parameterized typology models perform in simulation. Then interpretable machine learning is used to explain the contribution of adaptive facade parameters to light criteria (DLA, UDI, DGP) and build prediction models for light simulation. Finally, Wallacei X is used for multi-objective optimization, determines the optimal skin options under the corresponding light environment, and establishes the optimal operation model of the adaptive facades against changes in the light environment. This paper provides a reference for designers to decouple the influence of various factors of adaptive facades on the indoor light environment in the early design stage and carry out more efficient adaptive facades design driven by environmental performance.
keywords	Adaptive Facades, Light Environment, Machine learning, Light Simulation, Genetic Algorithm, SDG 3, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2020_113
id	ecaade2020_113
authors	Li, Yunqin, Yabuki, Nobuyoshi, Fukuda, Tomohiro and Zhang, Jiaxin
year	2020
title	A big data evaluation of urban street walkability using deep learning and environmental sensors - a case study around Osaka University Suita campus
doi	https://doi.org/10.52842/conf.ecaade.2020.2.319
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. 319-328
summary	Although it is widely known that the walkability of urban street plays a vital role in promoting street quality and public health, there is still no consensus on how to measure it quantitatively and comprehensively. Recent emerging deep learning and sensor network has revealed the possibility to overcome the previous limit, thus bringing forward a research paradigm shift. Taking this advantage, this study explores a new approach for urban street walkability measurement. In the experimental study, we capture Street View Picture, traffic flow data, and environmental sensor data covering streets within Osaka University and conduct both physical and perceived walkability evaluation. The result indicates that the street walkability of the campus is significantly higher than that of municipal, and the streets close to large service facilities have better walkability, while others receive lower scores. The difference between physical and perceived walkability indicates the feasibility and limitation of the auto-calculation method.
keywords	walkability; WalkScore; deep learning; Street view picture; environmental sensor
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2019_134
id	caadria2019_134
authors	Li, Yunqin, Zhang, Jiaxin and Yu, Chuanfei
year	2019
title	Intelligent Multi-Objective Optimization Method for Complex Building Layout based on Pedestrian Flow Organization - A case study of People's Court building in Anhui, China
doi	https://doi.org/10.52842/conf.caadria.2019.1.271
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 271-280
summary	The pedestrian flow of the building influences and determines the layout of the building's plan. For buildings with complex flow such as courts, airports, and stations, mixed flow line and low traffic efficiency are prone to be problems. However, the optimization of the layout of complex flow buildings usually relies on the architect's experience to judge and trials to improve. To overcome these problems, we attempt to establish a parametric model of buildings' plan (taking a typical court building as an example) with information about the different pedestrian flow and functional groups. Based on the Rhino and Grasshopper platform, we take the minimum of different pedestrian flow path length and the maximum of total spatial integration value and the minimum of total spatial entropy value as the starting point, combines pathfinding algorithm, Space Syntax and multi-objective genetic algorithm to optimize space allocation. The result shows that, compared with the original scheme, the intelligent optimised scheme can reduce the spatial waste caused by improper flow organisation, effectively improve space transportation capacity and spatial organization efficiency.
keywords	Intelligent optimisation; space allocation; multi-objective optimization algorithm; Space Syntax; pathfinding algorithm
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2023_106
id	caadria2023_106
authors	Li, Yuqian and Xu, Weiguo
year	2023
title	Research on Architectural Sketch to Scheme Image Based on Context Encoder
doi	https://doi.org/10.52842/conf.caadria.2023.1.069
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
summary	Architects are used to hand drawing sketches to express the architectural creation intention. To present these abstract sketches, architects and teams need to convert sketches into architectural scheme images, which requires a lot of time and labour. Deep learning may have the potential to improve the efficiency of this work. The common sketch-to-image generation is based on Generative Adversarial Network (GAN), and the research of edge-to-image has made a big progress. But these methods require strict alignment of data pairs, which is difficult to achieve. Zhu et al. proposed the loss of Cycle-Consistent, which solved the problem that pairs of data sets are difficult to collect. However, most of the image translation methods require strict alignment between image data pairs, which can be achieved only for the edge mapping extracted from the image; but the sketch is very different from the edge. Due to the abstractness and fuzziness of the sketch, any simple distortion cannot complete the task of providing pixel-level alignment between the sketch and image; And image translation is the transfer of image features such as colour and texture. The original image has a strong constraint on the generated image, which makes the original structure of the image impossible to be changed. By image inpainting, we address this topic using a joint image completion approach with Context-Encoder, where the architectural sketch provides the image context for generating the scheme images. This setting has two advantages: first, the joint images can avoid the complexity of cross modal problems and the strict alignment of the data pairs as image-to-image translation; second, because of the weak constraint, the outputs have greater freedom, which perhaps can generate more imaginative results. The Context-Encoder generates scheme images on the data sets of general architectural sketches. The results present that the applicability of the completion method is better than that of the method of image translation. And scheme images that is different from the original architectural sketch contours have been generated.
keywords	Sketch, Building Scheme Image, Image Completion, Context-Encoder
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2022_523
id	caadria2022_523
authors	Li, Zhixian, Huang, Xiaoran and Ruszczewski, Szymon
year	2022
title	Conflict and Reconciliation Between Architectural Heritage Values and Energy Sustainability, A Case Study of Xidi Village Anhui Province
doi	https://doi.org/10.52842/conf.caadria.2022.1.707
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. 707-716
summary	Virtual reality (VR) can enhance users' spatial perception by enabling spatial design activities. Conversely, the VR environment provides more visual information for the user to process than the desktop environment, resulting in a low efficiency of the design process. This study aims to verify whether VR can have a distinctive influence on the spatial design experience compared to the desktop environment. We conducted user studies on design experience in VR and desktop environments to accomplish this goal. The results revealed that participants‚ satisfaction with the design experience was higher in VR; however, the task completion was more time consuming than in the desktop environment.
keywords	Architectural Heritage, Energy Consumption, Designer‚s Simulation Toolkit, Xidi Village, Huizhou, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac20053206
id	ijac20053206
authors	Liakata-Pechlivanidou, Anastasia; Zerefos, Stylianos C.; Zerefos, Stylianos N.
year	2005
title	Perceptual and Cognitive Factors that Influence Orientation in Computer Generated Real Architectural Space
source	International Journal of Architectural Computing vol. 3 - no. 2, 245-254
summary	This study presents results from an experiment that concerns spatial perception and cognition in virtual environments. It also includes the effects of how the development of a simulated virtual space can change perception and cognition of a real building perceived only through architectural drawings and photographs. In the experiment each student was shown external and internal 360° images, representing nodes in virtual space, of the same virtual building. Two different groups of students were formed. The first group was shown photorealistic rendered images, while the other group the same images with non-photorealistic representation. Differences in orientation tendencies of the participating students, as well as statistical results from these experiments were tested and are presented in this paper. It was found that there was a statistically significant tendency of the students towards larger scatter in more luminous virtual space as well as a tendency to visit lit parts of virtual space.
series	journal
more	http://www.multi-science.co.uk/ijac.htm
last changed	2007/03/04 07:08

_id	caadria2024_386
id	caadria2024_386
authors	Liang, Jiadong, Zhong, Ximing and Koh, Immanuel
year	2024
title	Bridging Bim and AI: A Graph-Bim Encoding Approach for Detailed 3D Layout Generation Using Variational Graph Autoencoder
doi	https://doi.org/10.52842/conf.caadria.2024.1.221
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 221–230
summary	Building Information Modelling (BIM) data provides an abundant source with hierarchical and detailed information on architectural elements. Nevertheless, transforming BIM data into an understandable format for AI to learn and generate controllable and detailed three-dimensional (3D) models remains a significant research challenge. This paper explores an encoding approach for converting BIM data into graph-structured data for AI to learn 3D models, which we define as Graph-BIM encoding. We employ the graph reconstruction capabilities of a Variational Graph Autoencoder (VGAE) for the unsupervised learning of BIM data to identify a suitable encoding method. VGAE's graph generation capabilities also reason for spatial layouts. Results demonstrate that VGAE can reconstruct BIM 3D models with high accuracy, and can reason the entire spatial layout from partial layout information detailed with architectural components. The primary contribution of this research is to provide a novel encoding approach for bridging AI and BIM encoding. The Graph-BIM encoding method enables low-cost, self-supervised learning of diverse BIM data, capable of learning and understanding the complex relationships between architectural elements. Graph-BIM provides foundational encoding for training general-purpose AI models for 3D generation.
keywords	BIM, graph-structured, encoding approach, VGAE, graph reconstruction and generation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2024_198
id	ecaade2024_198
authors	Liang, Jiadong; Zhong, Ximing; Koh, Immanuel
year	2024
title	Building-VGAE: Generating 3D detailing and layered building models from simple geometry
doi	https://doi.org/10.52842/conf.ecaade.2024.1.625
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 625–634
summary	In the current field of AI-assisted architectural design, deep learning models primarily focus on simulating the highly detailed final models designed by human architects. However, in practical design tasks, the final model demands a high level of detail and clear layered classification information for building components. This presents a more significant challenge. We propose a three-dimensional(3D) building generation framework—Building-VGAE, based on Variational Graph Autoencoder (VGAE). Building-VGAE can generate 3D models with detailed building components and layered structure information from end to end, according to design constraints and building volumes. Building-VGAE’s experiment involves transforming 27,965 Housegan data into 3D data represented as graph-structured. The VGAE model then learns the data features and predicts the building component categories to which nodes and edges belong in the experiment. The results demonstrate that the framework can precisely reconstruct and predict building layouts that comply with design constraints and enable unified editing of building components of the same category. Building-VGAE contributes to its ability to learn the generative relationship from design constraints and building volumes to complex high-detail models compared to existing AI generative models. It also possesses prediction and editing capabilities based on the layered classification information of building components. This framework has the potential to position AI as a design partner for human architects, offering end-to-end 3D generative intelligence.
keywords	Variational Graph Auto-Encoder, 3D Spatial Grid Structure, Detailed Building Components, Layered Structure, Graph Reconstruction and Generation
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2009_074
id	caadria2009_074
authors	Liang, Rung-Huei; Ying-Ming Huang
year	2009
title	Visualizing Bits as Urban Semiotics
doi	https://doi.org/10.52842/conf.caadria.2009.033
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 33-42
summary	Geosemiotics, defined as the study of meaning of placing signs in the material world, concerns the interaction of spatial, individual, social, and cultural contexts. Mobile technology, enabling spatial awareness successfully, has turned our living space into coordinates to broaden geosemiotics study. With interdisciplinary perspectives, there is an emerging potential to integrate the study of mobile spatial interaction and geosemiotics and we address several open issues of geospatial applications in this paper. Since indexicality is the focus of geosemiotics study, we focus on digital indexicalities referring to physical space. Physical indexical signs are usually set by government or organizations rather than individuals, and therefore we propose a new concept to place personal indexical signs in the physical space with mobile devices and augmented reality technology. Overlapped onto the physical world via visual, iconic, and metaphorical methods, what these unique personal semiotics bring is a living space with novel urban landscape and geosemiotics.
keywords	locative media; geosemiotics; augmented reality; ubiquitous computing; mobile spatial interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	698a
authors	Liang, You-Dong and Barsky, Brian A.
year	1983
title	An Analysis and Algorithm for Polygon Clipping
source	Communications of the ACM November, 1983. vol. 26: pp. 868-877 : ill. includes bibliography.
summary	(This is one of the two standard algorithms for clipping. The other is the Sutherland-Hodgman reentrant algorithm). The process of polygon clipping is analyzed and the understanding gained thereby forms the foundation of a very direct algorithm. Each edge of the input polygon is considered to be a vector and is then extended to be a line of infinite extent. The boundary line segments of the clip window are extended in a similar fashion to become boundary lines. The intersection points of an extended edge with the boundary lines are identified as entry or exit points. It is observed that these entry and exit points can be used to characterize the visibility status of the edge. Not only might the edge have a visible segment, but it can also induce the inclusion in the output polygon of a vertex at a corner of the clip window called a turning vertex. To quantify the visibility conditions, the edge is written in parametric form. The possible contributions (including nil) that can be provided to the output polygon by a particular edge are established. This analysis is then embedded in an algorithm. An arbitrary example input polygon is given and the output of the algorithm is shown. The execution time for this example using this algorithm is measured to be half of what is required by the standard Sutherland-Hodgman reentrant polygon clipping algorithm
keywords	polygons, clipping, algorithms, computer graphics
series	CADline
last changed	2003/06/02 13:58

_id	05b4
authors	Liang, You-Dong and Barsky, Brian A.
year	1984
title	A New Concept and Method for Line Clipping
source	ACM Transactions on Graphics. January, 1984. vol. 3: pp. 1-22 : ill. includes bibliography
summary	A new concept and method for line clipping is developed that describes clipping in an exact and mathematical form. The basic ideas form the foundation for a family of algorithms for two-dimensional, three-dimensional, and four-dimensional (homogeneous coordinates) line clipping. The line segment to be clipped is mapped into a parametric representation. From this, a set of conditions is derived that describes the interior of the clipping region. Observing that these conditions are all of similar form, they are rewritten such that the solution to the clipping problem is reduced to a simple max/min expression. For each dimension, the mathematics are discussed, an example is given, the algorithm is designed, and a performance test is conducted. The new algorithm is compared with the traditional Sutherland-Cohen clipping algorithm. Using randomly generated data, the new algorithm showed a 36 percent, 40 percent, and 79 percent improvement for two-dimensional, three-dimensional, and four- dimensional clipping, respectively. One of the advantages of this algorithm is the quick rejection of line segments that are invisible. In addition, this algorithm can be easily generalized for clipping against any convex viewing volume
keywords	algorithms, clipping, computer graphics, analysis
series	CADline
last changed	2003/06/02 13:58

_id	cf2005_2_36_65
id	cf2005_2_36_65
authors	LIAO Kai and HAN Chia Y.
year	2005
title	Collective Pavilions: A Generative Architectural Modelling for Traditional Chinese Pagoda
source	Learning from the Past a Foundation for the Future [Special publication of papers presented at the CAAD futures 2005 conference held at the Vienna University of Technology / ISBN 3-85437-276-0], Vienna (Austria) 20-22 June 2005, pp. 129-138
summary	This paper investigates generative architectural modelling for traditional Chinese architecture and aims to explore and extend the potential of adaptive computing for architectural design methods. The design manners analysis of traditional pagodas architectures is made in a holistic view and under historical perspective. We propose a descriptive model and generative system for the design of traditional Chinese pagodas, by which each pagoda is defined as a collection of style-matched and form-coordinated pavilions and described by both topological graphs and variant geometrical units. Our approach models both of the building geometry and space organization/spatial patterns of pagodas separately. The generative mechanism consists of a framework of grammar-based design and parametric, recursive shape computation. Accordingly, the generative algorithm is also made of two levels, the topology of spatial patterns and the shape geometrical parameters that characterize pavilion variations. The algorithm for computing the former is based on GP (Genetic Programming) and the latter GA (Genetic Algorithms). To explore the collective behaviour of a group of pavilions, multi-agent modelling approach is incorporated in composition patterns search. A prototype system, 'glPagoda', using the OpenGL graphics library for rendering and visualization, has been developed and implemented on PC windows platform.
keywords	pagoda, grammar-based design, multi-agent modelling, generative design system
series	CAAD Futures
email
last changed	2005/05/05 07:06

_id	caadria2010_036
id	caadria2010_036
authors	Liao, Hsiu-Ting; Teng-Wen Chang and Ih-Cheng Lai
year	2010
title	Storytelling: a computational approach for convergent thinking
doi	https://doi.org/10.52842/conf.caadria.2010.381
source	Proceedings of the 15th International Conference on Computer Aided Architectural Design Research in Asia / Hong Kong 7-10 April 2010, pp. 381-390
summary	Convergent thinking is an important skill in early design process to deal with the complexity and dynamic nature of design. In this research, by exploring the storytelling mechanism as one way to develop an idea generation representation called DIM (Dynamic Idea Map), we investigate characteristics of convergent process during the brainstorming experiments we conducted. A computational platform called Idea Story (Idea as Storytelling) is proposed which produces a narrative and helps generate a meaningful representation.
keywords	Storytelling; convergent thinking; idea map; design narrative
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2015_484
id	cf2015_484
authors	Liao, Kai; Vries, Bauke de; Kong, Jun and Zhang, Kang
year	2015
title	Pattern, cognition and spatial information processing: Representations of the spatial layout of architectural design with spatial-semantic analytics
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 484.
summary	In this paper, we review and extend the idea of Alexander’s “pattern language”, especially from the viewpoints of complexity theories, information systems, and human-computer interaction, to explore spatial cognition-based design representations for “intelligent and adaptive/interactive environment” in architecture and urban planning. We propose a theoretic framework of design patterns “with spatial information processing”, and attempt to incorporate state-of-the-art computational methods of information visualization/visual analytics into the conventional CAAD approaches. Focused on the spatial-semantic analytics, together with abstract syntactic pattern representation, by using “spatial-semantic aware” graph grammar formalization, i.e., Spatial Graph Grammars (SGG), the relevant models, algorithms and tool are proposed. We testify our theoretic framework and computational tool VEGGIE (a Visual Environment of Graph Grammar Induction Engineering) by using actual architectural design works (spatial layout exemplars of a small office building and the three house projects by Frank Lloyd Wright) as study cases, so as to demonstrate our proposed approach for practical applications. The results are discussed and further research is suggested.
keywords	Pattern language, complex adaptive systems, spatial cognition, design representations, spatial information processing, Artificial Intelligence, visual language, Spatial Graph Grammars (SGG), spatial-semantic analytics.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	caadria2019_437
id	caadria2019_437
authors	Liao, Pan, Gu, Ning, Brisbin, Chris, Rofe, Matthew and Soltani, Sahar
year	2019
title	Computationally Mapping Spatial Properties of Chinese Historic Towns using Space Syntax
doi	https://doi.org/10.52842/conf.caadria.2019.1.361
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 361-370
summary	Due to its geographic size and long cultural history of fluctuating borders, China has a large number of historic settlements; each with their own unique geometric, cultural, social, and spatial characteristics. Despite the various studies that have attempted to qualitatively describe the spatial properties of historic towns, there are limited attempts to understand the spatial qualities of these towns through a quantitative approach, such as space syntax. This paper proposes and demonstrates a computational approach based on space syntax to map spatial properties of these towns. Four spatial features are examined and evaluated to capture the spatial patterns of Chinese historic towns: (1) axiality, (2) curvature, (3) intelligibility, and (4) synergy. The approach has been applied to four typical towns in China: Pingyao, Lijiang, Kulangsu, and Wuzhen. This computational approach provides a new way to complement existing qualitative measures of understanding the urban form and use of historic towns, providing a powerful tool to support the development of policy affecting historic town design/planning, heritage conservation, and heritage tourism.
keywords	Chinese historic towns; spatial properties; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_040
id	cf2019_040
authors	Liao, Yu-Yi and Sheng-Fen Chien
year	2019
title	Investigating Audience Satisfaction Base on the Nonverbal Language Analysis of the Audience in Photos
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 317-330
summary	When we want to know satisfaction of audiences in a speech, the questionnaire survey is the most affordable method to collect quantitative data. However, the reliability and validity of the questionnaire is closely related to the design of the questions and the attitude of the respondents. Photos can capture nonverbal behaviors of the audience while listening to a speech. At that time, the audience did not hide their emotions. In this paper, we organize the photos of the three speeches hosted by the NCKU Art Center in 2016 as the data set. We found that the results of the behavioral analysis in photos are similar to the statistical results of the questionnaire. Finally, we made some suggestions for using the photos to analyze the nonverbal behavior of audiences and for establishing a database of nonverbal behaviors.
keywords	Speech, nonverbal language analysis, audience satisfaction
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	caadria2009_019
id	caadria2009_019
authors	Liao, Yuan-Yu
year	2009
title	Some Phenomena of Analogical Thinking in Design
doi	https://doi.org/10.52842/conf.caadria.2009.781
source	Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 781-790
summary	Analogy has been ascribed a key role in architectural design. Until now, there has been no complete theory describing how the analogical thinking process works in the design domain. Analogical thinking usually relates to freehand sketches and rarely connects to computer media. This research attempts to investigate analogical thinking from the perspective of the conventional media and computer media. Four analogical thinking in design phenomena have been established.
keywords	Analogical thinking; sketching; computer media; cognitive experiment
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2008_174
id	ecaade2008_174
authors	Liapi , Katherine A.
year	2008
title	Spatial Information Visualization Methods for Large Scale Infrastructure Projects
doi	https://doi.org/10.52842/conf.ecaade.2008.617
source	Architecture in Computro [26th eCAADe Conference Proceedings / ISBN 978-0-9541183-7-2] Antwerpen (Belgium) 17-20 September 2008, pp. 617-624
summary	For the communication of spatial information with regard to the design and construction of large scale urban infrastructure projects several visualization methods and technologies have been developed. The paper discusses two different trends in relevant technologies: a) those that use visualization to facilitate communication of construction planning information between architects, engineers, contractors, the public and other interested parties, and b) technologies that provide real time information on the conditions on the construction site.
keywords	spatial information visualization, real time construction site modeling, construction schedule visualization, motion modeling & vualization
series	eCAADe
email
last changed	2022/06/07 07:59

_id	6cde
authors	Liapi, Katherine A.
year	2002
title	Transformable Architecture Inspired by the Origami Art: Computer Visualization as a Tool for Form Exploration
doi	https://doi.org/10.52842/conf.acadia.2002.381
source	Thresholds - Design, Research, Education and Practice, in the Space Between the Physical and the Virtual [Proceedings of the 2002 Annual Conference of the Association for Computer Aided Design In Architecture / ISBN 1-880250-11-X] Pomona (California) 24-27 October 2002, pp. 381-388
summary	Membrane packaging has been the main feature of the earliest prototypes of transformablearchitecture. Similar concepts of spatial transformation are encountered in the origami art where aplanar paper surface, after folding, transforms to a 3-dimentional object. The geometric configuration ofcreases on a sheet of paper before folding, as well as the topological properties of 3D origami papermodels, have been recently addressed, and can be used as a guide for the design of new forms.Because membranes in general can be considered surfaces of minimal thickness, principles of theorigami art and math can find applications in the conception and design of transformable membranestructures for architecture. This paper discusses how computer visualization can be used to explorethe potential application of ideas borrowed from the origami art in the conceptual design oftransformable structures. A two-case study that shows how origami math is integrated in the computervisualization of a potential architectural application is included. The same study also shows thatanimated simulations of the transformation process during folding can identify problems in the initialgeometric conception of an origami type structure, and can be used for further morphologicalexplorations.
series	ACADIA
last changed	2022/06/07 07:59

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