Use of Artificial Intelligence in the Personalisation of In-vehicle Interaction Interfaces
Author:
Affiliation:
1. Faculty of Arts and Media, Yunnan College of business management, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3672919.3672950
Reference15 articles.
1. Aljaroodi H. M. Adam M. T. Teubner T. & Chiong R. 2023. Understanding the importance of cultural appropriateness for user interface design: an Avatar study. ACM Transactions on Computer-Human Interaction 29(6) 1-27.
2. Andriole, S. J., & Adelman, L. 2023. Cognitive systems engineering for user-computer interface design, prototyping, and evaluation. CRC Press.
3. Brinkley J. Posadas B. Sherman I. Daily S. B. & Gilbert J. E. 2019. An open road evaluation of a self-driving vehicle human–machine interface designed for visually impaired users. International Journal of Human–Computer Interaction 35(11) 1018-1032.
4. Faas, S. M., & Baumann, M. 2019, November. Light-based external human machine interface: Color evaluation for self-driving vehicle and pedestrian interaction. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 63, No. 1, pp. 1232-1236). Sage CA: Los Angeles, CA: Sage Publications.
5. Jianan L. & Abas A. 2020. Development of human-computer interactive interface for intelligent automotive. International Journal of AI 7(2) 13-21.
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