Can Vision-Language Models Analyze Human-Centered Video? Mapping Model Capabilities and Human-AI Collaborative Workflows

arXiv:2609.27327 · cs.CV, cs.HC · Submitted 2026-09-23 · Read on arXiv

cs.CV, cs.HC

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Verification — 55× in this paper · explained in 2 episodes
• Benchmark — 39× in this paper · explained in 2 episodes
• Accuracy — 33× in this paper · explained in 1 episode
• Vision-language models — 27× in this paper · explained in 2 episodes
• Grounding — 21× in this paper · explained in 3 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Temporal Reasoning — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 4× in this paper · explained in 6 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 3× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Human-Normalized Score — 3× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Agent Interactions — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Joint Attention — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• PaLM-E: An Embodied Multimodal Language Model
• Rethinking Model Evaluation as Narrowing the Socio-Technical Gap
• LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
• HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
• Gemini: A Family of Highly Capable Multimodal Models
• NExT-GPT: Any-to-Any Multimodal LLM

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