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International Conference on Intelligent Human Systems Integration

IHSI 2019: Intelligent Human Systems Integration 2019 pp 10–16Cite as

A Strain Based Model for Adaptive Regulation of Cognitive Assistance Systems—Theoretical Framework and Practical Limitations

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 903))

Abstract

In order to manage increasing complexity so called cognitive assistance systems are integrated into assembly systems. On the basis of real-time measurement and analysis of physiological signals, these assistance systems help to coordinate efficient behavior and to prevent states of long lasting detrimental workload and strain. With measurement technology getting smaller, more powerful and wearable it’s possible to collect and analyze personal physiological data in real-time and detect significant changes at the workplace. It is intended to use these data to control a cognitive assistance systems which as a consequence of a monitored detrimental workload leads to adaptive changes in assembly processes and to a reduction of workload. The underlying principle can be a self-actualizing machine learning algorithm. We want to present a theoretical framework to sketch possibilities of such data-controlled, adaptive systems and to describe some obstacles which have to be overcome before they’re ready for use.

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Acknowledgements

The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany in the project Montexas4.0 (FKZ 02L15A261).

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Authors and Affiliations

  1. Institute of Psychology, University Greifswald, Franz-Mehring-Str. 47, 17489, Greifswald, Germany

    Dominic Bläsing & Manfred Bornewasser

Authors
  1. Dominic Bläsing
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  2. Manfred Bornewasser
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Corresponding author

Correspondence to Dominic Bläsing .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Bläsing, D., Bornewasser, M. (2019). A Strain Based Model for Adaptive Regulation of Cognitive Assistance Systems—Theoretical Framework and Practical Limitations. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_2

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