X-Blocks: Linguistic Building Blocks of Natural Language Explanations for Automated Vehicles
#X‑Blocks #natural language explanations #automated vehicles #hierarchical framework #linguistic building blocks #trust #acceptance #driving rationales
📌 Key Takeaways
- Existing AV explanation methods lack systematic linguistic analysis, hindering user trust.
- X‑Blocks is a hierarchical framework that identifies linguistic building blocks of AV explanations.
- The framework operates at three distinct levels of analysis.
- It is applied to diverse driving scenarios to demonstrate its generality.
- The study proposes that structured linguistic analysis can improve transparency and acceptance of AVs.
📖 Full Retelling
The authors of a new research preprint on arXiv (identifier 2602.13248v1) introduce X‑Blocks, a hierarchical analytical framework designed to dissect the linguistic building blocks of natural language explanations for automated vehicles (AVs). The study was posted in February 2026 and focuses on diverse driving scenarios to address the gap in current approaches that lack systematic methods for analysing how humans construct driving rationales, thereby impeding trust and acceptance of AVs. The paper presents the X‑Blocks framework, outlining a three‑level structure that categorises and identifies key linguistic components used in AV explanations and demonstrates its application across a representative set of driving situations. By providing a principled way to analyse explanation language, the authors aim to improve transparency, support user trust, and guide future development of explainable autonomous driving systems.
Key insights from the paper include the motivation behind developing a structured linguistic analysis, the definition and organization of the X‑Blocks framework, evidence of its effectiveness through scenario analysis, and proposed implications for advancing explainable autonomous vehicle communication.
🏷️ Themes
Human‑robot interaction, Explainable artificial intelligence, Linguistic analysis, Automated vehicle safety, Trust and acceptance
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Original Source
arXiv:2602.13248v1 Announce Type: new
Abstract: Natural language explanations play a critical role in establishing trust and acceptance of automated vehicles (AVs), yet existing approaches lack systematic frameworks for analysing how humans linguistically construct driving rationales across diverse scenarios. This paper introduces X-Blocks (eXplanation Blocks), a hierarchical analytical framework that identifies the linguistic building blocks of natural language explanations for AVs at three le
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