Abstract
This paper proposes Mahalanobis Distance – Pattern approach for human machine teamworking. IoT insists that humans and machines work together on the same team. But to realize this, humans and machines need to communicate. Up to now, machines move based on human instructions and their worlds are separate. But if it comes to human-machine teaming, what we share with machines is movement. Therefore, we developed Mahalanobis Distance-Pattern approach by utilizing ordinal scale Mahalanobis Distance and temporal variation of dynamic movement data. This is Non-Euclidean approach. So, it works very good for making strategic decisions how to achieve better movements.
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Fukuda, S. (2021). Movement-Mediated Communication Between Human and Machine. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_88
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DOI: https://doi.org/10.1007/978-3-030-80829-7_88
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