Abstract
The effectiveness of human-machine interfaces (HMI) in driving automation systems partially depends on how alerts and requests are delivered to the driver without unnecessarily distracting them from the driving task. Depending on the required user reaction time, alerts should be displayed differently - either capture attention immediately for a short duration or remain visible more subtly over time. Our study focuses on the use of color as a means of enhancing alert visibility and attention capture. Based on a user-centered experiment, we developed a ranking of color combinations for both day and night interface modes. Few existing studies address the adaptation of color to interface mode, and when they do, they primarily focus on contrast rather than differentiating alert types by importance. Our approach introduces an additional criterion - the criticality of the alert - that is a key factor in tailoring the visual design of warning signals.
Paper Type
Short Paper
DOI
10.62036/ISD.2025.95
Digital Transformation in Automotive: Color Design of Cockpit Alerts for Effective and User-Friendly Driver Communication
The effectiveness of human-machine interfaces (HMI) in driving automation systems partially depends on how alerts and requests are delivered to the driver without unnecessarily distracting them from the driving task. Depending on the required user reaction time, alerts should be displayed differently - either capture attention immediately for a short duration or remain visible more subtly over time. Our study focuses on the use of color as a means of enhancing alert visibility and attention capture. Based on a user-centered experiment, we developed a ranking of color combinations for both day and night interface modes. Few existing studies address the adaptation of color to interface mode, and when they do, they primarily focus on contrast rather than differentiating alert types by importance. Our approach introduces an additional criterion - the criticality of the alert - that is a key factor in tailoring the visual design of warning signals.
Recommended Citation
Lewandowska, A.M., Olejnik-Krugły, A. & Bortko, K. (2025). Digital Transformation in Automotive: Color Design of Cockpit Alerts for Effective and User-Friendly Driver CommunicationIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.95