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Influencing Parameters for the Development of Adaptive HMIs & Requirements for the Categorization of Control Functions Generated via Expert Knowledge

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Advances in Human Factors, Business Management and Leadership (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 267))

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Abstract

The continuing trend towards increasing functional diversity in control systems represents a major challenge for the development of human-machine interfaces, short HMI. This contribution provides expert knowledge in the topics of the development of HMIs, explicitly adaptive HMIs. The focus is on the used methods and their deficits. Parameters that are influencing HMI development are presented. This expertise is generated using the Delphi method. In addition, the common practice and estimations for the categorization of two operating technologies are investigated. Specifically, this concerns the optimal allocation of machine functions to either touch-based operating systems or haptic operating systems. These results form the basis for the development of a methodology that provides a special development process for adaptive HMIs, which focuses on a high user experience and usability.

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Acknowledgments

I want to thank all the experts who supported me with their expertise in generating the knowledge in the two-round Delphi survey.

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Correspondence to Andreas Kaufmann .

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Kaufmann, A., Maier, T. (2021). Influencing Parameters for the Development of Adaptive HMIs & Requirements for the Categorization of Control Functions Generated via Expert Knowledge. In: Kantola, J.I., Nazir, S., Salminen, V. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2021. Lecture Notes in Networks and Systems, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-030-80876-1_40

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  • DOI: https://doi.org/10.1007/978-3-030-80876-1_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80875-4

  • Online ISBN: 978-3-030-80876-1

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