Technological advances continue to redefine the dynamics of human-machine interactions, particularly in task execution. This proposal responds to the advancements in Generative AI by outlining a research plan that probes intent-AI interaction across a diverse set of tasks: fixed-scope content curation task, atomic creative tasks, and complex and interdependent tasks. This exploration aims to inform and contribute to the development of Intent-based User Interface (IUI). The study is structured in three phases: examining fixed-scope tasks through news headline generation, exploring atomic creative tasks via analogy generation, and delving into complex tasks through exploratory visual data analysis. Future work will focus on improving IUIs to better provide suggestions to encourage experienced users to express broad and exploratory intents, and detailed and structured guidance for novice users to iterate on analysis intents for high quality outputs.

翻译：技术进步持续重塑人机交互的动态机制，尤其在任务执行领域。本研究方案响应生成式人工智能的最新进展，提出一项研究计划，旨在探究跨不同任务类型的意图-人工智能交互：固定范围内容策展任务、原子型创意任务以及复杂且相互依赖的任务。该探索旨在为意图驱动型用户界面的开发提供信息与贡献。研究分为三个阶段：通过新闻标题生成检验固定范围任务，通过类比生成探索原子型创意任务，通过探索性可视化数据分析深入复杂任务。未来工作将侧重于改进意图驱动型用户界面，使其更能为经验丰富的用户提供建议以激发广泛且探索性的意图，同时为新手用户提供详细且结构化的指导，以迭代分析意图从而获得高质量输出。