SOURCE-LINKED INTELLIGENCE
Can Vision-Language Models Analyze Human-Centered Video? Mapping Model Capabilities and Human-AI Collaborative Workflows
Video provides a rich record of human behavior, interaction, and situated contexts, offering important evidence for understanding people and conducting human-centered research. As vision-language models (VLMs) become increasingly capable of analyzing video, they offer opportunities to automate this traditionally human-intensive process. Yet a central question remains: when can VLMs analyze human-centered video independently, and when does reliable analysis still require human involvement? To address this question, we first characterize video analysis practices in human-centered research. We sy
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T04:00:15.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.