人机协作：从悖论到模式
Human-AI Collaboration: From Paradoxes to Patterns
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中文总结 AI 辅助
本文从悖论视角分析人机协作的自主性与主动性维度，提出揭示张力并映射悖论的过程，从而推导出指令、委派、协助与共创四种协作模式。
中文摘要 AI 辅助
有证据表明，人类与人工智能系统通过协作，比单独行动时表现更好。本文考察了人机协作的两个关键设计维度（自主性与主动性），并探讨了由此产生的协作模式。记录这些模式始于识别潜在的问题与解决方案，随后审视问题内部的张力。本文采用悖论视角分析这些张力，描述了一个揭示张力并映射潜在悖论的过程，并说明了如何从映射这些悖论中推导出模式描述。最后，本文记录了四种人机协作模式：指令、委派、协助与共创。
英文摘要
Evidence shows that humans and AI systems perform better together, by collaborating, than alone. This paper examines two key design dimensions of human-AI collaboration (autonomy and initiative) and explores the collaboration patterns that they generate. Documenting these patterns starts with identifying the underlying problems and solutions, followed by examining the internal tensions within the problems. The paper uses a paradox perspective to analyze those tensions. It describes a process for surfacing the tensions and mapping the underlying paradoxes. It also illustrates how the pattern descriptions can be derived from mapping these paradoxes. Finally, the paper documents four human-AI collaboration patterns: Instruction, Delegation, Assistance, and Co-creation.
发表机构
- Carleton University（卡尔顿大学）
机构由 AI 辅助整理，请以论文原文为准。
