SPLASH 2024 (series) / PAINT 2024 (series) / PAINT /
Block-based Platform for Defining Adaptation Rules for Automotive Systems
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.
Tue 22 OctDisplayed time zone: Pacific Time (US & Canada) change
Tue 22 Oct
Displayed time zone: Pacific Time (US & Canada) change
11:00 - 12:30 | |||
11:00 30mTalk | Block-based Platform for Defining Adaptation Rules for Automotive Systems PAINT Luigi Altamirano Eindhoven University of Technology, Mauricio Verano Merino Vrije Universiteit Amsterdam, Ion Barosan TU Eindhoven DOI Pre-print | ||
11:30 30mTalk | Supporting Construction of Domain-Specific Representations in Textual Source Code PAINT Tom Beckmann Hasso Plattner Institute, Jan Reppien Hasso Plattner Institute, University of Potsdam, Jens Lincke Hasso Plattner Institute; University of Potsdam, Robert Hirschfeld Hasso Plattner Institute; University of Potsdam DOI Pre-print | ||
12:00 30mTalk | Bridging Incremental Programming and Complex Software Development Environments PAINT DOI Pre-print |