Visualisation of topological structures as a training tool for acquiring causal models of complex systems

ACM International Conference Proceeding Series

Volumn 250, Issue , 2007, Pages 307-308

  Klostermann, Anne ^a   Thüring, Manfred ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

causal models; training strategies; visualisation tools

Indexed keywords

CAUSAL MODEL; COMPLEX SYSTEMS; EXPERIMENTAL APPROACHES; LEARNER CONTROL; PROCESS COMPONENT; RESEARCH APPROACH; SYSTEM INTERACTIONS; SYSTEM KNOWLEDGE; TOPOLOGICAL STRUCTURE; TRAINING MODE; TRAINING STRATEGY; TRAINING TOOLS; VISUALISATION; VISUALISATION TOOLS;

CONTROL SYSTEMS; ERGONOMICS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; STRATEGIC PLANNING; VISUALIZATION;

PROCESS CONTROL;

EID: 77954452462     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1362550.1362618     Document Type: Conference Paper

References (4)

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2. Klostermann, A. (2006). How should causal knowledge about complex systems be trained? Proceedings of the Human Factors and Ergonomics Society Conference Europe Chapter 2006 Annual Meeting.
3. Sauer, J., Wastell, D.G. & Hockey, G.R.J. (2000). Using micro-worlds to simulate highly automated work environments: The case of the Cabin Air Management System. Computers in Human Behavior, 16, 45-58.
4. Weidenmann, B., Paechter, M. & Hartmannsgruber, K. (1998). Strukturierung und Sequenzierung von komplexen Text-Bild-Kombinationen [Structuring and Sequencing Complex Text - Picture Combinations]. Zeitschrift für Pädagogische Psychologie, 12 (2/3), 112-124.