Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text. In Generative AI, human involvement is essential, thus HCI literature has investigated how to effectively create collaborations between humans and GenAI systems. However, the current literature lacks a comprehensive framework to better understand Human-GenAI Interactions, as the holistic aspects of human-centered GenAI systems are rarely analyzed systematically. In this paper, we present a survey of 291 papers, providing a novel taxonomy and analysis of Human-GenAI Interactions from both human and Gen-AI perspectives. The dimensions of design space include 1) Purposes of Using Generative AI, 2) Feedback from Models to Users, 3) Control from Users to Models, 4) Levels of Engagement, 5) Application Domains, and 6) Evaluation Strategies. Our work is also timely at the current development stage of GenAI, where the Human-GenAI interaction design is of paramount importance. We also highlight challenges and opportunities to guide the design of Gen-AI systems and interactions towards the future design of human-centered Generative AI applications.

翻译：生成式人工智能（GenAI）在生成图像、视频和文本等不同格式的多样化且逼真内容方面展现出卓越能力。在生成式人工智能中，人类参与至关重要，因此人机交互（HCI）领域的研究已探索如何有效建立人类与GenAI系统之间的协作关系。然而，当前文献缺乏一个全面框架来深入理解人类与生成式人工智能的交互，因为以人为中心的GenAI系统的整体性方面很少被系统分析。本文对291篇论文进行了综述，从人类和生成式人工智能两个维度提出了关于人机生成式AI交互的新型分类体系和分析框架。设计空间维度包括：1）使用生成式AI的目的，2）模型对用户的反馈，3）用户对模型的控制，4）参与程度，5）应用领域，以及6）评估策略。本研究的开展恰逢GenAI当前发展阶段，其中人机生成式AI交互设计具有至关重要的意义。我们还指出了面临的挑战与机遇，旨在为以人为中心的生成式AI应用未来设计提供GenAI系统及其交互设计的指导方向。