J. Dzaack
Technische Universität Berlin, Franklinstr. 28-29, D-10587 Berlin, Germany
B. Höge
Technische Universität Berlin, Franklinstr. 28-29, D-10587 Berlin, Germany
M. Rötting
Technische Universität Berlin, Franklinstr. 28-29, D-10587 Berlin, Germany
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Published in: Proceedings of the 2nd CIRP IPS2 Conference 2010; 14-15 April; Linköping; Sweden
Linköping Electronic Conference Proceedings 77:2, p. 13-19
Published: 2012-10-11
ISBN: 978-91-7393-381-0
ISSN: 1650-3686 (print), 1650-3740 (online)
In the SFB/TR29 a focus lies on Human Factors and their integration into Industrial Product-Service Systems (IPS2) to prevent errors and malfunction due to e.g. changing structures and conditions. Thus; it is necessary to integrate adaptive; contextual and user-centric interaction techniques into IPS2. In this article an approach is presented that enables the predictive and automatic detection of human errors and malpractice and their contextual prevention. Therefore cognitive user models; actual knowledge of the systems and the operator and multimodal human-machine interacting mechanisms are used. This approach provides the base for an efficient and error-free execution of services within IPS2.
Industrial Product-Service Systems; Cognitive User Models; Multimodality; Error Prevention
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