Tue 22 Oct 2024 11:00 - 11:30 at Pacific A - Session 2

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 Oct

Displayed time zone: Pacific Time (US & Canada) change

11:00 - 12:30
Session 2PAINT at Pacific A
11:00
30m
Talk
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
30m
Talk
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
30m
Talk
Bridging Incremental Programming and Complex Software Development Environments
PAINT
Max Boksem University of Amsterdam, L. Thomas van Binsbergen University of Amsterdam
DOI Pre-print