Author

A. Y. Zadeh

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Preprint Aug 2026

NARRATE: A Multimodal Real-World Australian Driving Dataset for Human-Centred Explanations in Automated Driving

Automated vehicles must explain their decisions in ways that passengers can understand, monitor, and trust. Existing language-annotated driving datasets are mostly observer-written, post-hoc, simulation-based, or generated from sensor inputs, rather than elicited from the driver performing the action. We introduce NARR...

A. Y. Zadeh, Zishuo Zhu, Xiaomeng Li et al. · 0 citations

Open access 2026

Explainability in Automated Driving: From Spatial Attention to Human-Centred Reasoning

A human-centred explainability framework is proposed that repositions AV explanation as a cognitive human-machine interaction problem, leveraging multimodal large language models as the generative engine for contextualised natural language explanations responsive to user expertise and situational urgency.

A. Rakotonirainy, A. Y. Zadeh, Zishuo Zhu et al. · AHFE International · 0 citations