Abstract
Nowadays, digitization and automation in manufacturing and logistics facilities lead to cyber-physical systems (CPS) which are interacting with one another and are able to handle complex and yet very flexible processes. Still there are many tasks, which cannot be handled by these CPS, and therefore, the human worker with his cognitive abilities plays a major role in such systems. To enhance the collaboration between CPS and human workers new forms of bidirectional interaction have to be setup and evaluated. In this paper, we analyzed the interaction methods of an automated transport vehicle (ATV). The ATV can be controlled via app on smartphones or tablets, gesture recognition using sensor wristbands or speech control. To obtain information about which interaction possibility should be used we have conducted a case study in which users had to control the ATV by all three modalities. During the evaluation, we examined the feedback of the user on the Likert-scale as well as objectionable information like task fulfillment time and error rate. These results helped us to identify the right interaction modality regarding the interaction task.
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Acknowledgments
We greatly acknowledge the support of Thorsten Plewan from the Leibniz Research Centre for Working Environment and Human Factors in Dortmund. Furthermore, we want to thank the Innovation lab Hybrid Services in Logistics, funded by the Federal Ministry of Education and Research (BMBF) and in the Center of Excellence for Logistics and IT funded by Ministry for innovation science and research of NRW, Germany.
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Chapman, S., Kirks, T., Jost, J. (2019). Study on Interaction Modalities Between Humans and CPS in Sociotechnical Systems. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_159
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DOI: https://doi.org/10.1007/978-3-030-02053-8_159
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