Abstract
The trend away from highly automated processes using heavy industrial robots towards HRI-systems (human-robot-interaction) using light-weight robots, is leading to a strong increase concerning the technical complexity of future industrial work systems. This article reports the results of an experimental evaluation of a multimodal human-robot-interface. Two typical application scenarios from the robot programming were examined, each performed with three different modalities of control. The mental workload of the operators was operationalized by subjective, objective and physiological indicators. There were significant differences in mental workload between the different types of control in both application scenarios. The present results demonstrate the benefits of adaptive system design in human-robot-interaction.
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Schneider, M., Deml, B. (2017). Analysis of a Multimodal Human-Robot-Interface in Terms of Mental Workload. In: Schlick, C., et al. Advances in Ergonomic Design of Systems, Products and Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53305-5_18
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DOI: https://doi.org/10.1007/978-3-662-53305-5_18
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