SOURCE-LINKED INTELLIGENCE
DYAD: A Multimodal Dataset of Co-Located Human Assistance
An embodied assistant working beside a person must track task state, recognize help seeking, choose how to intervene, and produce an appropriate response. Existing procedural datasets richly describe individual execution, while interactive datasets capture remote verbal instruction or undifferentiated co-working. They do not jointly link a co-located helper's verbal and physical interventions to performer requests, task state, assistance triggers, and outcomes. We introduce DYAD (DYadic Assistance Dataset), a synchronized multimodal record of human-human assistance during gearbox assembly. Acr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T16:53:15.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.