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

Hits 1 to 9 of 9

_id caadria2018_125
id caadria2018_125
authors Bungbrakearti, Narissa, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2018
title HOLOSYNC - A Comparative Study on Mixed Reality and Contemporary Communication Methods in a Building Design Context
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 401-410
summary The integration of technology into the design process has enabled us to communicate through various modes of virtuality, while more traditional face-to-face collaborations are becoming less frequent, specifically for large scale companies. Both modes of communication have benefits and disadvantages - virtual communication enables us to connect over large distances, however can often lead to miscommunication, while face-to-face communication builds stronger relationship, however may be problematic for geographically dispersed teams. Mixed Reality is argued to be a hybrid of face-to-face and virtual communication, and is yet to be integrated into the building design process. Despite its current limitations, such as field of view, Mixed Reality is an effective tool that generates high levels of nonverbal and verbal communication, and encourages a high and equal level of participation in comparison to virtual and face-to-face communication. Being a powerful communication tool for complex visualisations, it would be best implemented in the later stages of the building design process where teams can present designs to clients or where multiple designers can collaborate over final details.
keywords Mixed Reality; Communication; Hololens; Collaboration; Virtual
series CAADRIA
last changed 2018/05/17 07:08

_id caadria2018_162
id caadria2018_162
authors Hawton, Dominic, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2018
title Shared Immersive Environments for Parametric Model Manipulation - Evaluating a Workflow for Parametric Model Manipulation from Within Immersive Virtual Environments
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 483-492
summary Virtual reality (VR) and augmented reality (AR) provide designers with new visual mediums through which to communicate their designs. There is great potential for these mediums to positively augment current visual communication methods by improving remote collaboration. Enabling designers to interact with familiar computational tools through external virtual interfaces would allow them to both calibrate design parameters and visualise parametric outcomes from within the same immersive virtual environment. The current research outlines a workflow for parametric manipulation and mesh replication between immersive applications developed in the Unity game engine and McNeel's Grasshopper plugin. This paper serves as a foundation for future research into integrating design tools with external VR and AR applications in an effort of enhancing remote collaborative designs.
keywords Augmented Reality; Virtual Reality; Parametric Design; Procedural; Grasshopper
series CAADRIA
last changed 2018/05/17 07:08

_id caadria2020_444
id caadria2020_444
authors Higgs, Baptiste and Doherty, Ben
year 2020
title Sanitary Sanity: Evaluating Privacy Preserving Machine Learning Methods for Post-occupancy Evaluation
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 697-706
summary Traditional post-occupancy evaluation (POE) of building performance has typically privileged physical building attributes over human behavioural data. This is due to a lack of capability and is especially the case for private spaces such as Sanitary Facilities (SFs). A privacy-preserving sensor-based system using Machine Learning (ML) was previously developed, however it was limited to basic body position classification. Yet, SF usage behaviour can be significantly more complex. This research accordingly builds on the aforementioned work to expand behavioural classifications using a sensor-based ML system. Specifically, the case study uses a GridEYE thermal sensor array, which is trained on a cubicle location within a workplace SF. A variety of ML algorithms are then evaluated on their behaviour-classifying ability. A detailed analysis of behaviour-classification performance is then provided. A system with greater fidelity is thus demonstrated, albeit hampered by imprecise behaviour definitions. Regardless, this contributes to the capability of the broader field of research that is investigating Evidence Based Design (EBD) by extending the ability to examine human behaviour, especially in private spaces. This further contributes to the growing body of work surrounding SF provision.
keywords EBD; Data; Internet of Things; Machine Learning; Post Occupancy Evaluation
series CAADRIA
last changed 2020/08/14 18:40

_id caadria2018_126
id caadria2018_126
authors Khean, Nariddh, Kim, Lucas, Martinez, Jorge, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2018
title The Introspection of Deep Neural Networks - Towards Illuminating the Black Box - Training Architects Machine Learning via Grasshopper Definitions
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 237-246
summary Machine learning is yet to make a significant impact in the field of architecture and design. However, with the combination of artificial neural networks, a biologically inspired machine learning paradigm, and deep learning, a hierarchical subsystem of machine learning, the predictive capabilities of machine learning processes could prove a valuable tool for designers. Yet, the inherent knowledge gap between the fields of architecture and computer science has meant the complexity of machine learning, and thus its potential value and applications in the design of the built environment remain little understood. To bridge this knowledge gap, this paper describes the development of a learning tool directed at architects and designers to better understand the inner workings of machine learning. Within the parametric modelling environment of Grasshopper, this research develops a framework to express the mathematic and programmatic operations of neural networks in a visual scripting language. This offers a way to segment and parametrise each neural network operation into a basic expression. Unpacking the complexities of machine learning in an intermediary software environment such as Grasshopper intends to foster the broader adoption of artificial intelligence in architecture.
keywords machine learning; neural network; action research; supervised learning; education
series CAADRIA
last changed 2018/05/17 07:08

_id caadria2018_122
id caadria2018_122
authors Leung, Emily, Asher, Rob, Butler, Andrew, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2018
title Redback BIM - Developing 'De-Localised' Open-Source Architecture-Centric Tools
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 21-30
summary Emerging technologies that use data have contributed to the success of communication all over the world. Social media and gaming industries have already taken advantage of the web to provide synchronous communication and updated information. Conversely, existing methods of communication within the AEC industry require multiple platforms, such as emails and file sharing services in conjunction with 3D Modelling software, to inform changes made by stakeholders, resulting in file duplication and limited accessibility to the latest version, while augmenting existing practice's inefficiency. As communication is critical to the success of a project and should be enhanced, Redback BIM promises to establish a workflow for a dynamic platform, while achieving similar results to that of a 3D modelling program hosted on the web. Using existing open-source web development software, multiple users will be able to collaboratively organise and synchronise changes made to the design scheme in real-time. Features such as this would enable more fluid communication between multiple stakeholders within the life of a project.
keywords De-localised Workspaces; Web-based Software Platforms; Data; Open-source; Collaboration
series CAADRIA
last changed 2018/05/17 07:08

_id ecaade2018_114
id ecaade2018_114
authors Paneras, Harris, Yip, Michael, Dobbs, Tiara, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2018
title Augmented Reality in the Design Process - Using visual effects (VFX) motion tracking techniques to conduct quantification research on the performance of augmented reality
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 761-770
summary The research explores how quantitative performance analysis of augmented reality would influence its mainstream adoption within the Built Environment Industry. The process involves the development and quantification of key augmented reality components, through the use of Visual Inertial Odometry and Visual Effects motion tracking techniques. Targeting mobile technology as a case study for the research, its potentials and limitations will be explored and discovered in relation to the industry. Accordingly, the research focuses on assessing the visuality and communicative quality of augmented reality projections from 2D, cuboid, cylindrical, 3D object, geo-location and marker less. Testing this form of technology under realistic scenarios provides a baseline for developers to rationalise their choices in their augmented reality development. This would study the effectiveness of augmented reality projections and vindicate the typical constants and variables when developing augmented reality applications, reducing the need for ongoing practical experimentations to successfully achieve augmentation.
keywords Mobile; Augmented Reality; Performance Analysis; Fundamental Research; Quantitative Research
series eCAADe
last changed 2018/08/22 13:38

_id caadria2016_045
id caadria2016_045
authors Rizal, Annisa R.; Ben Doherty and M. Hank Haeusler
year 2016
title Enabling Low Cost Human Presence Tracking: Using commodity hardware to monitor human presence in workplaces
source Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 45-54
summary Finding automated methods to track the presence of hu- mans can help designers understand workplaces. Methods to under- stand the patterns of human movement in workplaces using beacons, badges and sensors are being developed. Whilst the results are promis- ing, they can be costly and may require the manual setup of expensive equipment. The Global Positioning System (GPS) is widely adopted due to its high degree of accuracy, however, is inapplicable in indoor environments due to the physical limitations of satellite attenuation. There is no comparably ubiquitous positioning system that can be used to make device-driven position tracking that is specifically adapted to indoor environments. With the increasing popularity of phones, watches and fitness tracking bands with WiFi and Bluetooth connectivity, we explore the potential of these wireless radios as a low-cost alternative to monitor human movement. As the costs of technology continue to decrease, the means to build a low-cost tracker through WiFi and Bluetooth enabled devices in an indoor environment become possible. Furthermore, is it possible to develop a low-cost tracking device using only commodity hardware that is able to accu- rately automate and record presence in space with sufficient veracity?
keywords Movement tracking; workplace environment; wireless
series CAADRIA
last changed 2016/03/11 09:21

_id caadria2019_464
id caadria2019_464
authors Scott, Sophie, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2019
title Discoverable Desks - Finding location and orientation in a mobile workplace
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 653-662
summary The drive towards increasing productivity through collaborative ways of working has spurred a parallel trend in flexible and adaptable workplace environments. Mobile desks are one feasible solution to this but workplaces that adopt mobile desks risk creating spatial inefficiencies. These range from overcrowding or underutilization, to potential compliance issues in terms of fire egress requirements and health and safety regulations. While there is a need to understand mobile desking configurations there are currently no well-established ways to track the location and orientation of mobile desks within workplaces. Consequently, this paper describes a research project that adopts an action research methodology as an iterative and participatory framework to investigate and develop a unique method for capturing the location and orientation of freely moveable desks in an open workplace environment. This uses an ensemble of Bluetooth location beacons and computer vision techniques to provide a finer resolution than either method alone can currently provide. The demonstration of this ensemble method is the main contribution of this work. This paper demonstrates that combining these methods can enhance the advantages of each; computer vision gives higher resolution and beacons reduce the scope of the image search task
keywords Indoor Positioning Systems; Office Space Planning; Location Data; Computer vision; activity-based working
series CAADRIA
last changed 2019/04/16 08:25

_id acadia19_30
id acadia19_30
authors Varshney, Ishaan; Doherty, Ben
year 2019
title A Plane of Thrones
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 30-39
summary Creating workplace seating plans is currently a laborious task carried out based on intuition with potentially suboptimal outcomes. A data informed seating plan generator could see an increase in organizational success metrics. In this paper, we present a modular framework for using a social network, a spatial network, and an organization objective to generate data-informed seating plans for a design firm. In addition, an open-source tool was created to allow individuals in an organization to evaluate prospective arrangements. This implementation gave employees more agency by informing their seating decisions as well as the ability to better inform their intuitions about seating arrangements.
series ACADIA
type normal paper
last changed 2019/12/18 08:01

No more hits.

HOMELOGIN (you are user _anon_610156 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002