Abstract
Digitalization of production changes the scope of human-machine interaction, frequently leading to increasing informational load. The present article describes a study which investigated smart digital assistance (SDA) devices regarding usability, subjective strain, performance and reaction time while conducting a simultaneous machine monitoring and assembly task. Results reveal that subjective mental strain and reaction times were positively affected by means of SDA usage and showed significant differences independent from SDA type. Performance significantly increased when data glasses were used. Significant differences were further shown in usability when using smartwatch compared to data glasses. Findings show that SDA device implementation in industrial practice potentially has a positive benefit for productivity.
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Zamfirescu, C.-B., Pirvu, B.-C., Schlick, J., Zuehlke, D.: Preliminary insides for an anthropocentric cyber-physical reference architecture of the smart factory. Stud. Inf. Control 22(3), 269–278 (2013)
Zhou, J.: Digitalization and intelligentization of manufacturing industry. Adv. Manuf. 1(1), 1–7 (2013)
Pennekamp, J., Glebke, R., Martin, H.: Towards an infrastructure enabling the internet of production. In: Proceedings of the 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS), pp. 31–37 (2019)
Schmitt, M., Meixner, G., Gorecky, D., Seissler, M., Loskyll, M.: Mobile interaction technologies in the factory of the future. IFAC Proc. Vol. 46(15), 536–542 (2013)
Lanza, G., Haefner, B., Kraemer, A.: Optimization of selective assembly and adaptive manufacturing by means of cyber-physical system based matching. CIRP Ann. 64(1), 399–402 (2015)
Spencer, D.: Work in and beyond the second machine age: the politics of production and digital technologies. Work Employ Soc. 31(1), 142–152 (2017)
Schaupp, E., Abele, E., Metternich, J.: Potentials of digitalization in tool management. Procedia CIRP 63, 144–149 (2017)
Gorecky, D., Schmitt, M., Loskyll, M., Zuhlke, D.: Human-machine-interaction in the industry 4.0 Era. In: Proceedings of the 12th IEEE International Conference on Industrial Informatics (INDIN), Porto Alegre RS, Brazil, pp. 289–294 (2014)
Zhou, Y., Mu, H., Jiang, J., Zhang, L.: Investigation of the impact of main control room digitalization on operators cognitive reliability in nuclear power plants. Work 41(Suppl. 1), 714–721 (2012)
Shrouf, F., Ordieres, J., Miragliotta, G.: Smart factories in industry 4.0: a review of the concept and of energy management approached in production based on the internet of things paradigm. In: Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 697–701 (2014)
Gorecky, D., Schmitt, M., Loskyll, M., Zühlke, D.: Human-machine-interaction in the industry 4.0 era
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In: Hancock, P.A., Meshkati, N. (eds.) Advances in Psychology, vol. 52, Human Mental Workload. Amsterdam, New York, New York, N.Y., U.S.A.: North-Holland; Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., pp. 139–183 (1988)
Brooke, J.: SUS: a quick and dirty usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, I.L. (eds.) Usability Evaluation in Industry, pp. 189–194. Taylor & Francis, London (1996)
Acknowledgments
The research was funded by the German Federal Ministry of Education and Research (BMBF), Project MaxiMMI, according to Grant No. 16SV6237, supervised by the VDI/VDE Innovation + Technik GmbH. The research is continued within the “Smart Working Environments for all Ages” project, funded by the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement N826232. The authors would like to express their gratitude for the support given.
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Czerniak, J.N., Schierhorst, N., Brandl, C., Mertens, A., Nitsch, V. (2020). Smart Digital Assistance Devices for the Support of Machine Operation Processes at Future Production Workplaces. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-51828-8_64
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DOI: https://doi.org/10.1007/978-3-030-51828-8_64
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