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Enabling parametric design space exploration by non-designers
- Source :
- Castro e Costa, E, Jorge, J, Knochel, A & Duarte, J P 2020, ' Enabling parametric design space exploration by non-designers ', Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 34, no. 2, pp. 160-175 . https://doi.org/10.1017/S0890060420000177
- Publication Year :
- 2020
- Publisher :
- Cambridge University Press (CUP), 2020.
-
Abstract
- In mass customization, software configurators enable novice end-users to design customized products and services according to their needs and preferences. However, traditional configurators hardly provide an engaging experience while avoiding the burden of choice. We propose a Design Participation Model to facilitate navigating the design space, based on two modules. Modeler enables designers to create customizable designs as parametric models, and Navigator subsequently permits novice end-users to explore these designs. While most parametric designs support direct manipulation of low-level features, we propose interpolation features to give customers more flexibility. In this paper, we focus on the implementation of such interpolation features into Navigator and its user interface. To assess our approach, we designed and performed user experiments to test and compare Modeler and Navigator, thus providing insights for further developments of our approach. Our results suggest that barycentric interpolation between qualitative parameters provides a more easily understandable interface that empowers novice customers to explore the design space expeditiously.
- Subjects :
- Flexibility (engineering)
Design space exploration
Computer science
Interface (Java)
Mass customization
0211 other engineering and technologies
020207 software engineering
02 engineering and technology
user testing
mass customization
Industrial and Manufacturing Engineering
barycentric interpolation
design space exploration
Parametric design
Artificial Intelligence
Human–computer interaction
Parametric model
0202 electrical engineering, electronic engineering, information engineering
User interface
parametric modeling
021106 design practice & management
Interpolation
Subjects
Details
- ISSN :
- 14691760 and 08900604
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Accession number :
- edsair.doi.dedup.....3e3b71345ebdaac9fd7d923764e81744
- Full Text :
- https://doi.org/10.1017/s0890060420000177