Externalising abstract mathematical models
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The synergistic application of CBR to IR
Artificial Intelligence Review
Reasoning with complex cases
Embedding critics in design environments
Readings in intelligent user interfaces
User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Margin notes: building a contextually aware associative memory
Proceedings of the 5th international conference on Intelligent user interfaces
Issues and Applications of Case Based Reasoning to Design
Issues and Applications of Case Based Reasoning to Design
Case-Based Design Support: A Case Study in Architectural Design
IEEE Expert: Intelligent Systems and Their Applications
Constraint solving and preference activation for interactive design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Information delivery in support of learning reusable software components on demand
Proceedings of the 7th international conference on Intelligent user interfaces
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
The best way to instil confidence is by being right
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Hi-index | 0.00 |
Many case-based reasoning systems have been developed to aid designers by providing them with libraries of prior design experiences. Traditionally, these systems are implemented as stand-alone ``external memories'' for the designer to query manually. This paper presents a contrasting approach that integrates proactive case retrieval into the designer's normal task processes, automatically tailoring information selection and presentation emphasis to fit changing designer needs and attention flow. The paper presents a set of principles for this integrated intelligent design support and describes their application in the Stamping Advisor, a system to support design feasibility analysis for sheet metal automotive parts. The Stamping Advisor interface proactively provides designers with relevant information to support feasibility analysis, automatically prepares their information products, and unobtrusively gathers the information needed to generate new cases to improve the quality of future support.