Abstract
In the SFB/TR29 a focus lies on human factors and their integration into Industrial Product-Service Systems (IPS2). These innovative systems are complex and dynamic. Human operators need to be able to perform a multitude of complex tasks in such socio-technical systems, providing a challenge to the operators because of the high complexity. Therefore automatic assistance systems are necessary for the overall reliability and effectiveness of such a system. This article describes a theoretical approach for simulating human behavior with cognitive models. The performed actions are recognized with motion capturing in combination with machine learning. By evaluating the perceived action and reality a description for the situation can be automatically generated in real time. This can be used for e.g. providing the human operator with real time contextual feedback.
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Meier, H., Völker, O.: Industrial Product-Service-Systems – Typology of Service Supply Chain for IPS2 Providing. In: Mitsuishi, M., Ueda, K., Kimura, F. (eds.) Manufacturing Systems and Technologies for the New Frontier, pp. 485–488. Springer, London (2008)
Jones, B.D.: Bounded Rationality. Annu. Rev. Polit. Sci. 2, 297–321 (1999)
Human Factors and Ergonomics Society, http://www.hfes.org/web/abouthfes/about.html
Höge, B., Schlatow, S., Rötting, M.: A Shared-Vision System for User Support in the Field of Micromanufacturing. In: Proceedings of HCI International 2009 – Posters, pp. 855–859. Springer, Heidelberg (2009)
Schmuntzsch, U., Rötting, M.: Multimodal User Interfaces in IPS2. In: Proceedings of HCI International 2011. Springer, Heidelberg (in press, 2011)
Solso, R.L.: Cognitive Psychology, 6th edn. Allyn and Bacon, Nedham Heights (2000)
John, B.E., Kieras, D.E.: The GOMS family of user interface nalysis Techniques: Comparison and contrast. ACM Transactions on Computer-Human Interaction 3(4), 320–351 (1996)
ACT-R Theory and Architecture of Cognition, http://act-r.psy.cmu.edu/
Dzaack, J., Kiefer, J., Urbas, L.: An approach towards multitasking in ACT-R/PM. In: Proceedings of the 12th Annual ACT-R Workshop, Italy (2005)
Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)
Junker, H., Amft, O., Lukowicz, P., Tröster, G.: Gesture spotting with body-worn inertial sensors to detect user activities. Pattern Recognition 41(6), 2010–2024 (2008)
Salvador, S., Chan, P.: Toward accurate dynamic time warping in linear time and space. Intelligent Data Analysis 11, 561–580 (2007)
Ying, Y., Randall, D.: Toward natural interaction in the real world: real-time gesture recognition. In: ICMI-MLMI 2010, pp. 15:1–15:8. ACM, New York (2010)
Amant, R.S., Freed, A.R., Ritter, F.E.: Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research 6(1), 71–88 (2005)
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Beckmann, M., Dzaack, J. (2011). Incorporating Motion Data and Cognitive Models in IPS2 . In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2011. Lecture Notes in Computer Science, vol 6777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21799-9_42
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DOI: https://doi.org/10.1007/978-3-642-21799-9_42
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