Learning Why by Being Told What: Interactive Acquisition of Justifications
IEEE Expert: Intelligent Systems and Their Applications
Construction kits and design environments: steps toward human problem-domain communication
Human-Computer Interaction
Introduction to this special issue on design rationale
Human-Computer Interaction
A process-oriented approach to design rationale
Human-Computer Interaction
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Representation of temporal change in solid models
Proceedings of the sixth ACM symposium on Solid modeling and applications
Data mining for knowledge acquisition in engineering design
Data mining for design and manufacturing
Distributed object model for collaborative CAD environments based on design history
Advances in Engineering Software
Acquiring engineering knowledge from design processes
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
OZCHI 2005: doctoral consortium submission
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
Harvesting versus creating: effective web design rationale
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
A version-aware tool for design rationale
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
Performance Design Rational Framework
Journal of Integrated Design & Process Science
Design rationale: Researching under uncertainty
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Proceedings of the 2006 conference on Integrated Intelligent Systems for Engineering Design
An information value based approach to design procedure capture
Advanced Engineering Informatics
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The value of comprehensive rationale information for documenting a design has long been recognized. However, detailed rationale is rarely produced in practice because of the substantial time investment required. Efforts to support the acquisition of rationale have focused on languages and tools for structuring the acquisition process, but still require substantial involvement on the part of the designer. This document describes an experimental system, the Rationale Construction Framework (RCF), that acquires rationale information for the detailed design process without disrupting a designer's normal activities. The underlying approach involves monitoring designer interactions with a commercial CAD tool to produce a rich process history. This history is subsequently structured and interpreted relative to a background theory of design metaphors that enable explanation of certain aspects of the design process. Evaluation of RCF within a robotic arm design case has shown that the system can acquire meaningful rationale information in a time-and cost-effective manner, with minimal disruption to the designer.