Ian Parmee
Discovery in design: People-centred computational issues
Parmee, Ian; Hall, E.; Miles, John; Noyes, Jan; Simons, Chris; Smith, David
Authors
E. Hall
John Miles
Jan Noyes
Christopher Simons Chris.Simons@uwe.ac.uk
Occasional Associate Lecturer - CATE - CCT
David Smith
Contributors
Tom Inns
Editor
Abstract
The Designing for the 21st Century Initiative is a joint EPSRC/AHRC multi-disciplinary collaborative investigation supporting a variety of clusters of design research. The Discovery in Design: People-centred Computational Issues cluster is significant in addressing computational conceptual design environments across a range of design disciplines. The cluster in unique in its approach to computational support for early lifecycle, conceptual design where uncertainty is an inherent characteristic. This book chapter reports how the cluster have exploited cross-domain design knowledge and experience to provide people-centered, computationallly intelligent design environment tools that support a wide range of conceptual design disciplines.
Citation
Parmee, I., Hall, E., Miles, J., Noyes, J., Simons, C., & Smith, D. (2007). Discovery in design: People-centred computational issues. In T. Inns (Ed.), Designing for the 21st Century: Interdisciplinary Questions and Insights (232 - 245). Ashgate Publishing
Publication Date | Dec 1, 2007 |
---|---|
Peer Reviewed | Not Peer Reviewed |
Pages | 232 - 245 |
Book Title | Designing for the 21st Century: Interdisciplinary Questions and Insights |
ISBN | 9780566087370 |
Keywords | discovery, design, people-centred computational issues |
Public URL | https://uwe-repository.worktribe.com/output/1023411 |
Publisher URL | http://www.gowerpublishing.com/isbn/9780566087370 |
You might also like
Photographer-guided attributes for underwater image aesthetics
(2024)
Journal Article
Users’ experiences of enhancing underwater images: An empirical study
(2021)
Journal Article
Using active learning to understand the videoconference experience: A case study
(2020)
Conference Proceeding
Looking for Novelty In SBSE Problems
(2019)
Conference Proceeding
A metaheuristic search framework to derive Cancer Care Services from business process models
(2019)
Conference Proceeding
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search