Large Language Models (LLMs) have demonstrated impressive text generation capabilities, prompting us to reconsider the future of human-AI co-creation and how humans interact with LLMs. In this paper, we present a spectrum of content generation tasks and their corresponding human-AI interaction patterns. These tasks include: 1) fixed-scope content curation tasks with minimal human-AI interactions, 2) independent creative tasks with precise human-AI interactions, and 3) complex and interdependent creative tasks with iterative human-AI interactions. We encourage the generative AI and HCI research communities to focus on the more complex and interdependent tasks, which require greater levels of human involvement.

翻译：大型语言模型（LLMs）展现出令人瞩目的文本生成能力，促使我们重新审视人机协同创作的未来方向以及人类与LLMs的交互方式。本文提出了一类内容生成任务及其对应的人机交互模式谱系，具体包括：1）以最小化人机交互为特征的固定范围内容策展任务；2）需要精确人机交互的独立创意任务；3）需要迭代式人机交互的复杂协同创意任务。我们呼吁生成式人工智能与人机交互研究社区聚焦于需要更高人类参与度的复杂协同创意任务。