Design Guidelines Towards 4.0 HMIs: How to Translate Physical Buttons in Digital Buttons

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Human-Computer Interaction (HCII 2023)

Abstract

The fourth industrial revolution (known as Industry 4.0) has simplified the access to new smart technologies, which are even more adopted by companies in their manufacturing machines. These technologies (e.g., Internet of Things) open new evolutionary scenarios for industries and the whole production process, such as the use of big data for production process optimization. At the same time, also a Human-Machine Interface (HMI) evolution is required to manage and effectively exploit the new machines advantages. Currently, different industrial HMIs are still physical based (e.g., buttons, levers) and do not properly respond to the new opportunities offered by the 4.0 technologies, limiting the whole production evolution. The HMIs’ evolution requires a proper design approach that considers the new machine possibilities (e.g., real time data analysis), the new interaction requirements and the users’ needs in the new work scenario. However, a lack of indications to guide this redesign process emerged. In this paper is presented a list of design guidelines conceived during a project regarding the HMI redesign of an automatic production line. Specifically, the project focuses on the translation of physical buttons to digital ones in a graphic interface. The case study brought out that there are many aspects to consider during the design process toward new 4.0 HMIs, and specific methodologies are necessary to develop intuitive and clear HMIs. Providing this applicative example, the paper aims to fill the current gap of indication to face the HMIs evolution and redesign. In particular, the developed guidelines are described to make clear how to adopt them to solve similar use cases and as a support for the design teams.

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Correspondence to Elisa Prati .

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Prati, E., Contini, G., Peruzzini, M. (2023). Design Guidelines Towards 4.0 HMIs: How to Translate Physical Buttons in Digital Buttons. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14011. Springer, Cham. https://doi.org/10.1007/978-3-031-35596-7_15

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  • DOI: https://doi.org/10.1007/978-3-031-35596-7_15

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