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Preprint Sep 2026

HappyWorld-Bench

Evaluating world models requires assessing both the quality of the worlds they generate and their consistency and responsiveness under exploration, interaction, and modification. We introduce HappyWorld-Bench, a comprehensive benchmark that evaluates whether generated worlds remain reliable as agents interact with them...

Zhi-Qi Bai, Ju-Nai Cai, Yi-Xin Chen et al. · 0 citations
#explainable ai Book Open access Sep 2026

From Assistance to Affective Co-Driving: Novice Drivers’ Emotional Needs and Design Expectations for In-Vehicle AI Agents

As AI becomes increasingly embedded in intelligent cockpits, human-vehicle interaction is shifting from task assistance toward affective and collaborative driving experiences. Yet little is known about what emotional support drivers expect from in-vehicle AI agents or how these expectations can inform design. We conduc...

Wei Gong, Ming-Yuan Zhang, Mei-Cheng Liu et al. · 0 citations

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