Papers by Mark Colley

2 papers
Automating eHMI Action Design with LLMs for Automated Vehicle Communication (2025.findings-emnlp)

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Challenge: Currently, eHMIs employ predefined text messages and manually designed actions to perform these messages . this limits the real-world deployment of ehMIs, where adaptability in dynamic scenarios is essential.
Approach: They propose a pipeline that integrates large language models and 3D renderers to generate executable actions for controlling eHMIs and rendering action clips.
Outcome: The proposed pipeline integrates large language models and 3D renderers to generate executable actions for controlling eHMIs and rendering action clips.
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers (2026.acl-long)

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Challenge: External Human-Machine Interfaces (eHMIs) are emerging as promising solutions to address this communication gap.
Approach: They propose a framework that uses vision-language models (VLMs) for perceptual evaluation as automated visual feedback to improve an LLM-based eHMI action designer.
Outcome: The proposed framework outperforms prompt-only LLM designers and manually specified baselines in three eHMI modalities and multiple LLM model sizes.

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