Block-Based Platform for Defining Adaptation Rules for Automotive Systems

Luigi Altamirano; Mauricio Verano Merino; Ion Barosan

doi:10.1145/3689488.3689989

Block-Based Platform for Defining Adaptation Rules for Automotive Systems

Luigi Altamirano, Mauricio Verano Merino, Ion Barosan

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	PAINT '24
Subtitle of host publication	Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments
Editors	Tom Beckmann, Luke Church, Robert Hirschfeld, Mauricio Verano Merino
Publisher	Association for Computing Machinery, Inc
Pages	1-16
Number of pages	16
ISBN (Electronic)	9798400712128
DOIs	https://doi.org/10.1145/3689488.3689989
Publication status	Published - 2024
Event	3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments, PAINT 2024 - Pasadena, United States Duration: 22 Oct 2024 → …

Conference

Conference	3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments, PAINT 2024
Country/Territory	United States
City	Pasadena
Period	22/10/24 → …

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s).

Keywords

automotive
block-based languages
HMI
rule-based systems

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10.1145/3689488.3689989

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Altamirano, L., Merino, M. V., & Barosan, I. (2024). Block-Based Platform for Defining Adaptation Rules for Automotive Systems. In T. Beckmann, L. Church, R. Hirschfeld, & M. V. Merino (Eds.), PAINT '24: Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments (pp. 1-16). Association for Computing Machinery, Inc. https://doi.org/10.1145/3689488.3689989

Altamirano, Luigi ; Merino, Mauricio Verano ; Barosan, Ion. / Block-Based Platform for Defining Adaptation Rules for Automotive Systems. PAINT '24: Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments. editor / Tom Beckmann ; Luke Church ; Robert Hirschfeld ; Mauricio Verano Merino. Association for Computing Machinery, Inc, 2024. pp. 1-16

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title = "Block-Based Platform for Defining Adaptation Rules for Automotive Systems",

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{\textquoteright}s effectiveness in supporting intuitive and efficient decision logic development.",

keywords = "automotive, block-based languages, HMI, rule-based systems",

author = "Luigi Altamirano and Merino, {Mauricio Verano} and Ion Barosan",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments, PAINT 2024 ; Conference date: 22-10-2024",

year = "2024",

doi = "10.1145/3689488.3689989",

language = "English",

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Altamirano, L, Merino, MV & Barosan, I 2024, Block-Based Platform for Defining Adaptation Rules for Automotive Systems. in T Beckmann, L Church, R Hirschfeld & MV Merino (eds), PAINT '24: Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments. Association for Computing Machinery, Inc, pp. 1-16, 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments, PAINT 2024, Pasadena, United States, 22/10/24. https://doi.org/10.1145/3689488.3689989

Block-Based Platform for Defining Adaptation Rules for Automotive Systems. / Altamirano, Luigi; Merino, Mauricio Verano; Barosan, Ion.
PAINT '24: Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments. ed. / Tom Beckmann; Luke Church; Robert Hirschfeld; Mauricio Verano Merino. Association for Computing Machinery, Inc, 2024. p. 1-16.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Altamirano L, Merino MV, Barosan I. Block-Based Platform for Defining Adaptation Rules for Automotive Systems. In Beckmann T, Church L, Hirschfeld R, Merino MV, editors, PAINT '24: Proceedings of the 3rd ACM SIGPLAN International Workshop on Programming Abstractions and Interactive Notations, Tools, and Environments. Association for Computing Machinery, Inc. 2024. p. 1-16 Epub 2024 Oct 17. doi: 10.1145/3689488.3689989

Block-Based Platform for Defining Adaptation Rules for Automotive Systems

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