| authors |
Bhavnani, S.K., Garrett, J. and Shaw, D.S. |
| year |
1993 |
| title |
Leading Indicators of CAD Experience |
| source |
CAAD Futures ‘93 [Conference Proceedings / ISBN 0-444-89922-7] (Pittsburgh / USA), 1993, pp. 313-334 |
| summary |
Current interfaces and help facilities of CAD systems are not designed to respond to a user's performance. To develop such adaptive environments, a better understanding of the indicators of CAD experience is required. This paper discusses the results of studying behavior patterns of different types and levels of CAD users for a specific drawing task. The results show that the type and experience of the CAD user has a clear correlation to the pattern of commands used, the time taken, and the quality of drawing produced. By using the experimental data to train a neural network, the paper demonstrates a connectionist approach for experience assessment. This information, it is proposed, can provide input to an adaptive interface which generates unobtrusive interception to improve the performance of a CAD user. Future experiments to explore the issues of generality and interception are presented. |
| keywords |
CAD user Modeling, Adaptive Interface, Neural Networks |
| series |
CAAD Futures |
| email |
|
| full text |
 file.pdf (91,445 bytes) |
| references |
Content-type: text/plain
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| last changed |
2003/11/21 15:16 |
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