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Research on Designing and Evaluating Alarm Signals for Varying Criticality Scenarios

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14056))

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Abstract

As an important part of the tractor display interface, the alarm signal plays the role of attracting the driver's attention and pushing important information to the driver under emergency situations. The design level of the alarm signal is related to whether the tractor driver can deal with the abnormal situation effectively, which determines the efficiency and safety of the whole system. Therefore, how to evaluate the alarm signal has become a key issue to be considered in the design of tractor display interface. Based on human situational cognition model, this paper establishes an alarm signal effectiveness evaluation index system for different criticality scenarios, comprehensively evaluates the performance of alarm signals in each stage of situational cognition, explores the effectiveness of multiple alarm signals and combined alarm signals under different criticality scenarios, and proposes alarm signal design strategies applicable to different scenarios. It provides theoretical guidance for the design of alarm signal in display interface.

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Acknowledgements

The authors are particularly grateful to all participants in the study. This work was funded by the Special funds for high-level teachers in Beijing Institute of Fashion Technology, with support from Beijing Institute of Fashion Technology, under Grant BIFTXJ202212.

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Correspondence to Yeqing Pei .

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Pei, Y. (2023). Research on Designing and Evaluating Alarm Signals for Varying Criticality Scenarios. In: Mori, H., Asahi, Y., Coman, A., Vasilache, S., Rauterberg, M. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14056. Springer, Cham. https://doi.org/10.1007/978-3-031-48044-7_11

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  • DOI: https://doi.org/10.1007/978-3-031-48044-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48043-0

  • Online ISBN: 978-3-031-48044-7

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