CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks
AI agents are reshaping the workspace, leading to drastic change of how humans work. Despite the considerable potential of human-agent collaboration both in preserving human agency and generating economic value, this paradigm remains largely absent from occupational task evaluation, hindered by the difficulty of gathering real human data and accounting for inter-human variability. We introduce CollabSkill, a framework for evaluating human-agent collaboration on real-world occupational tasks. CollabSkill pairs real human workers with AI agents on tasks matched to their occupational background, collecting data that capture the complexity of economically valuable tasks and the usage patterns...
| Authors | Yijia Shao, Zora Zhiruo Wang, Neel Ahuja et al. |
|---|---|
| Primary category | cs.HC |
| Published | 20 April 2026 |
| Last updated at source | 25 July 2026 |
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