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Block-Based Platform for Defining Adaptation Rules for Automotive Systems

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.1145/3689488.3689989

Authors: Luigi Altamirano, Mauricio Verano Merino, Ion Barosan

Institutions: Eindhoven University of Technology, Vrije Universiteit Amsterdam

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: gold

OpenAlex ID: W4403518927

FWCI:

Cites: 18

Cited by:

Related to: 10