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From Task Success to Productive Success: Evaluating Human-AI Collaboration by Quality and Cost
AI productivity is often measured by task completion time, economic value, or improvements in outcome quality. However, these measures usually treat collaboration as a black box where they capture what output was produced, but not the interaction cost required to produce it. Motivated by economics literature, we introduce a productivity-oriented framework for evaluating human-AI collaboration as outcome quality relative to interaction cost. Across two datasets spanning four tasks, we show that: (1) sessions with identical quality ratings can differ by up to 70 times in interaction cost; (2) qu
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T22:01:44.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.