| authors |
Svetel, Igor |
| year |
2000 |
| title |
Using Machine Learning Techniques to Enhance Expressiveness of Computer-based Design Systems |
| doi |
https://doi.org/10.52842/conf.ecaade.2000.321
|
| source |
Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 321-325 |
| summary |
More and more designers use computers and netAbstract In face of the huge expansion of computer-mediated interaction among people, current representation-centered CAAD systems do not offer full information spectrum necessary to express all design intentions. Representational structures that those systems use suppress expression of affective information that plays a major role in design process. The paper describes few experiments conducted at the IMS Institute to enhance expressiveness of the CAAD systems. |
| keywords |
Expression, Emotion, Machine Learning |
| series |
eCAADe |
| email |
|
| more |
http://www.uni-weimar.de/ecaade/ |
| full text |
 file.pdf (53,239 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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