2024-10-17
Block-based platform for defining adaptation rules for automotive systems
Publication
Publication
Presented at the
3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments (October 2024), Pasadena, CA, USA
Adaptive human-machine interfaces (HMIs) enhance driver safety and comfort by tailoring information presentation. While existing research identifies key adaptation parameters, their practical application remains challenging due to the complexity of rule-based decision making and the limitations of current authoring tools. To address these issues, this paper introduces AHSL, a domain-specific language for efficiently specifying message adaptation logic. By unifying established adaptation parameters within a hierarchical structure, AHSL simplifies rule creation and improves readability. Usability testing demonstrates AHSL's effectiveness in supporting intuitive and efficient decision logic development.
| Additional Metadata | |
|---|---|
| , , , | |
| doi.org/10.1145/3689488.3689989 | |
| 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments | |
|
Altamirano, L., Verano Merino, M., & Barosan, I. (2024). Block-based platform for defining adaptation rules for automotive systems. In Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments (pp. 1–16). doi:10.1145/3689488.3689989 |
|
