Human-Centric Intelligence in the Era of Foundation Models: A Survey

• 类型：arxiv
• 标识：2608.18184
• 链接：https://arxiv.org/abs/2608.18184
• 主分类：evaluation
• 形态：survey
• 被引：0
• 被引来源：Semantic Scholar + OpenAlex
• S2被引：0
• OpenAlex被引：0
• 影响力被引：0
• TLDR：A full-spectrum human context taxonomy is introduced that integrates six interconnected levels by viewing humans as observable subjects through visual appearance and spatial geometry, as dynamic actors through kinematic dynamics and interaction modeling, and as situated agents through world simulation and embodied agency.
• OpenAlex ID：W7203922965
• OpenAlex DOI：10.48550/arxiv.2608.18184
• DOI：10.48550/arxiv.2608.18184
• DOI来源：OpenAlex
• 开放获取：green
• 开放获取链接：https://arxiv.org/pdf/2608.18184
• OpenAlex更新：2026-08-31
• 待LLM分类：否
• 标题中文：基础模型时代下以人为本的智能：综述
• TLDR中文：提出一个全谱系的人类上下文分类法，将六个相互关联的层级整合在一起：将人类视为通过视觉外观与空间几何可观测的主体、视为通过运动学动态与交互建模的动态行动者，以及视为通过世界仿真与具身智能定位的处境化 Agent。
• 成熟度：research
• 场景：foundation-models、human-centric-intelligence
• 来源文件：
• /inbox/tom/_candidates/2026-08-25-agent-rag-longcontext-candidates.json
• /inbox/tom/_candidates/2026-08-25-agent-memory-tool-use-candidates.json
• [S2 enrich]
• [OpenAlex backfill]