Abstract
In factories of the future, the worker and his or her well-being is regarded a crucial part of manufacturing situations. Human factors are recognized as vital to achieve sustainable organizational success. Advances in the area of wearable sensors proclaim that sensing human properties within manufacturing settings is technically feasible. Thereby, sensing human properties, such as the level of comfort or stress, may be used to adapt system behaviour in manufacturing situations. This chapter revisits related work from adaptive systems design addressing triggers for adaptations and impacted dimensions. The related work can be considered as design space for developers of S-BPM-based adaptive processes. In line with the related work, a laboratory setting at the Johannes Kepler University Linz has been designed and utilized for testing sensor-based process behaviour and control. Essential findings are described with respect to system architectures and S-BPM process design. The chapter concludes with relating modelling adaptive to human-aware S-BPM processes on a concept layer, and future work.
Keywords
- Adaptive System
- Conveyor Belt
- Test Person
- Human Property
- Programmable Logic Controller
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
Bernstein, D., Ludvigson, E., Sankar, K., Diamond, S., & Morrow, M. (2009). Blueprint for the intercloud-protocols and formats for cloud computing interoperability. In M. Perry, H. Sasaki, M. Ehmann, G. O. Bellot, & O. Dini (Eds.), The Fourth International Conference on Internet and Web Applications and Services ICIW 2009 (pp. 328–336). IEEE. doi:10.1109/ICIW.2009.55.
Boblin, G. (1976). Delayed habituation of the electrodermal orienting response as a function of increased level of arousal. Psychophysiology, 13, 345–351. doi:10.1111/j.1469-8986.1976.tb03088.x.
Feigh, K. M., Dorneich, C., & Hayes, C. C. (2012). Toward a characterization of adaptive systems: A framework for researchers and system designers. Human Factors, 54(6–12), 1008–1024. doi:10.1177/0018720812443983.
Jacobs, S. C., Friedman, R., Parker, J. D., Tofler, G. H., Jimenez, A. H., Muller, J. E., et al. (1994). Use of skin conductance changes during mental stress testing as an index of autonomic arousal in cardiovascular research. American Heart Journal, 128(6), 1170–1177.
Jouven, X., Schwartz, P. J., Escolano, S., Straczek, C., Tafflet, M., Desnos, M., et al. (2009). Excessive heart rate increase during mild mental stress in preparation for exercise predicts sudden death in the general population. European Heart Journal, 30, 1703–1710.
Kannengiesser, U., Heininger, R., Gründer, T., & Schedl, S. (2016). Modelling the process of process execution: A process model-driven approach to customising user interfaces for business process support systems. In International Workshop on Business Process Modeling, Development and Support (pp. 34–48). Springer International Publishing. doi:10.1007/978-3-319-39429-9_3.
Kelsey, R. M. (1991). Electrodermal lability and myocardial reactivity to stress. Psychophysiology, 28(6), 619–631. doi:10.1111/j.1469-8986.1991.tb01005.x.
Lawler, K. A. (1980). Cardiovascular and electrodermal response patterns in heart rate reactive individuals during psychological stress. Psychophysiology, 17(5), 464–470. doi:10.1111/j.1469-8986.1980.tb00185.x.
Lundberga, U., Granqvistb, M., Hanssonc, T., Magnussonc, M., & Wallind L. (1989). Psychological and physiological stress responses during repetitive work at an assembly line. Work & Stress: An International Journal of Work, Health & Organisations, 3(2).
NASA Langley Technical Report. Retrieved July 20, 2016, from http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20010067614.pdf.
Neubauer, M., Krenn, F., & Majoe, D. (2015). Towards an architecture for human-aware modeling and execution of production processes. IFAC-PapersOnLine, 48(3), 294–299.
O’Gorman, J. G., & Homeman, C. (1979). Consistency of individual differences in nonspecific electrodermal activity. Biological Psychology, 9(1), 13–21. doi:10.1016/0301-0511(79)90019-X.
Scerbo, M. W., Parasuraman, R., Di Nocero, F., & Prinzel, L. J. (2001). The efficacy of psychophysiological measures for implementing adaptive technology. NASA/TP-2001–211018.
Steinhauser, N. B., Pavlas, D., & Hancock, P. A. (2009). Design principles for adaptive automation and aiding. Ergonomics in Design, 17(2), 6–10.
Taelman, J., Vandeput, S., Spaepen, A., & Van Huffel, S. (2009). Influence of mental stress on heart rate and heart rate variability. In J. Vander Sloten, P. Verdonck, M. Nyssen, & J. Haueisen (Eds.), 4th European Conference of the International Federation for Medical and Biological Engineering, IFMBE Proceedings (Vol. 22, pp. 1366–1369). Berlin: Springer.
Van der Klink, J. J., Blonk, R. W., Schene, A. H., & Van Dijk, F. J. (2001). The benefits of interventions for work-related stress. American Journal of Public Health, 91(2), 270–276.
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Neubauer, M., Krenn, F., Schärfl, IA., Stary, C., Majoe, D. (2017). Human-Controlled Production. In: Neubauer, M., Stary, C. (eds) S-BPM in the Production Industry. Springer, Cham. https://doi.org/10.1007/978-3-319-48466-2_6
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DOI: https://doi.org/10.1007/978-3-319-48466-2_6
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