Knowledge Representation for Engineering Design Based on a Cognitive Model
L. Schmidt, and H. Luczak. Proceedings of the 14th Triennial Congress of the International Ergonomics Association and the 44th Annual Meeting of the Human Factors and Ergonomics Society (San Diego 2000), page 623–626. Santa Monica, Human Factors and Ergonomic Society, (2000)
Abstract
For the computer-support of knowledge-based human information processing, it is necessary to look at the representation of the information as well as designing an appropriate interface considering the ergonomics of human-computer interaction. Related to the established methodology for the design of technical systems, the cognitive model of an abstraction hierarchy was used as a framework for a task-appropriate knowledge representation in every phase of the design process. Based on a design task from the field of mechanical engineering, this concept was implemented as a software prototype. In an empirical study the practical applicability and usefulness of this concept was investigated. Trajectories of design problem solving were recorded and analyzed.
Proceedings of the 14th Triennial Congress of the International Ergonomics Association and the 44th Annual Meeting of the Human Factors and Ergonomics Society (San Diego 2000)
%0 Conference Paper
%1 Schmidt.2000b
%A Schmidt, L.
%A Luczak, H.
%B Proceedings of the 14th Triennial Congress of the International Ergonomics Association and the 44th Annual Meeting of the Human Factors and Ergonomics Society (San Diego 2000)
%C Santa Monica
%D 2000
%I Human Factors and Ergonomic Society
%K CAD Informationsdarstellung Informationsversorgung Konstruktionsprozess mmspub Wissenspflege
%P 623–626
%T Knowledge Representation for Engineering Design Based on a Cognitive Model
%X For the computer-support of knowledge-based human information processing, it is necessary to look at the representation of the information as well as designing an appropriate interface considering the ergonomics of human-computer interaction. Related to the established methodology for the design of technical systems, the cognitive model of an abstraction hierarchy was used as a framework for a task-appropriate knowledge representation in every phase of the design process. Based on a design task from the field of mechanical engineering, this concept was implemented as a software prototype. In an empirical study the practical applicability and usefulness of this concept was investigated. Trajectories of design problem solving were recorded and analyzed.
@inproceedings{Schmidt.2000b,
abstract = {For the computer-support of knowledge-based human information processing, it is necessary to look at the representation of the information as well as designing an appropriate interface considering the ergonomics of human-computer interaction. Related to the established methodology for the design of technical systems, the cognitive model of an abstraction hierarchy was used as a framework for a task-appropriate knowledge representation in every phase of the design process. Based on a design task from the field of mechanical engineering, this concept was implemented as a software prototype. In an empirical study the practical applicability and usefulness of this concept was investigated. Trajectories of design problem solving were recorded and analyzed.},
added-at = {2024-09-17T10:38:40.000+0200},
address = {Santa Monica},
author = {Schmidt, L. and Luczak, H.},
biburl = {https://www.bibsonomy.org/bibtex/27e7707ce14b9a1cc2cd9cf8f41b6d6b3/sdt},
booktitle = {Proceedings of the 14th Triennial Congress of the International Ergonomics Association and the 44th Annual Meeting of the Human Factors and Ergonomics Society (San Diego 2000)},
interhash = {719320c8f93c153e329d38cfea785691},
intrahash = {7e7707ce14b9a1cc2cd9cf8f41b6d6b3},
keywords = {CAD Informationsdarstellung Informationsversorgung Konstruktionsprozess mmspub Wissenspflege},
pages = {623–626},
publisher = {{Human Factors and Ergonomic Society}},
timestamp = {2024-09-17T10:38:40.000+0200},
title = {Knowledge Representation for Engineering Design Based on a Cognitive Model},
year = 2000
}