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Data-Driven Personas: Expanding DHM for a Holistic Approach

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Advances in Simulation and Digital Human Modeling (AHFE 2021)

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Abstract

In this paper, we detail research and development of data-driven personas in the IPS-IMMA digital human modelling system. Semi-automatically generating personas for working with user experience (UX) aspects of the Operator 4.0 side of Industry 4.0 is suggested as a viable approach for contributing to operator well-being and diversity by supporting workstation designers to take these factors into account early in the workstation design process. These data-driven personas are being developed to be generated using anthropometric data from the manikin family generation module of IPS-IMMA. Specific design suggestions are presented, what should be taken into account and how that will be implemented, and the current state of development of the data-driven personas module is discussed. Prototypes are planned under the coming year.

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Acknowledgements

This work has been realized by the Knowledge Foundation and the INFINIT research environment (KKS Dnr. 20180167) who have financially supported the Synergy Virtual Ergonomics project (SVE), as well as partner organizations.

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Correspondence to Ari Kolbeinsson .

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Kolbeinsson, A., Brolin, E., Lindblom, J. (2021). Data-Driven Personas: Expanding DHM for a Holistic Approach. In: Wright, J.L., Barber, D., Scataglini, S., Rajulu, S.L. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2021. Lecture Notes in Networks and Systems, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-79763-8_36

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