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Mark Colley

CHI 2026×10UbiComp 2026×3ACL 2026社会与人本多模态对齐与偏好推理评测与基准
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1 一作 · 14 篇 · CHI 2026 / UbiComp 2026 / ACL 2026

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2026 顶会论文

14
作者位次 #3/8ACL 2026Poster· Natural Language Processing

S ee2 R efine: Vision-Language Feedback Improves LLM -Based e HMI Action Designers

Ding Xia · Xinyue Gui · Mark Colley · Fan Gao · Zhongyi Zhou · Dongyuan Li · Renhe Jiang · Takeo Igarashi

摘要

Automated vehicles lack natural communication channels with other road users, making external Human-Machine Interfaces (eHMIs) essential for conveying intent and maintaining trust in shared environments. However, most eHMI studies rely on developer-crafted message-action pairs, which are difficul...

多模态对齐与偏好推理OpenReview 项目页
作者位次 #2/3CHI 2026Oral· Human-Computer Interaction

GTA: Generative Traffic Agents for Simulating Realistic Mobility Behavior

Simon Lämmer · Mark Colley · Patrick Ebel

社会与人本智能体与工具OpenReview
作者位次 #4/4CHI 2026Oral· Human-Computer Interaction

ProVoice: Designing Proactive Functionality for In-Vehicle Conversational Assistants using Multi-Objective Bayesian Optimization to Enhance Driver Experience

Josh Susak · Yifu Liu · Pascal Jansen · Mark Colley

社会与人本OpenReview

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