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 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
email BaptisteHiggs@gmail.com
last changed 2020/08/14 18:40

_id ecaadesigradi2019_462
id ecaadesigradi2019_462
authors Perelli Soto, Bruno and Soza Ruiz, Pedro
year 2019
title CoDesign Spaces - Experiences of EBD research at an industrial design makerspace
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 417-422
summary During the last years, insertion of technology accelerates its incursion both in the design process and in the teaching-learning process. Design education has gone through different visions: Some hold the vision of education in design with a look at professional training. Others, have chosen to study the roots and problems of the training process, the ultimate goal is to generate experts in future designers. An element that - consistently - is often absent from such discussions is the role played by prototypes in the teaching-learning process. This research reviews the role that the prototype has played, as a central element, in the process of collecting evidence, with a view to informing the decision making during the development of Project Design. The paper discusses the role that prototypes - from the standpoint of CoDesign, Evidence Design, and evolutionary design - have played in the teaching experiences of the last four semesters within a Computer Lab for students of Industrial Design. The systematization of information extracted from the research experiences has evolved from the Lab model to the Maker-space experience.
keywords Prototype; FSB Framework; Makerspace; Industrial Design
series eCAADeSIGraDi
email bperelli@uchilefau.cl
last changed 2019/08/26 20:25

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