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 154 papers, providing a novel taxonomy and analysis of Human-GenAI Interactions from both human and Gen-AI perspectives. The dimension of design space includes 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AI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显著能力。在生成式AI中，人类参与至关重要，因此人机交互领域的研究已探究如何有效建立人类与生成式AI系统之间的协作关系。然而，当前文献缺乏一个综合框架来更好理解人机生成式AI交互，因为以人为中心的生成式AI系统的整体方面很少被系统分析。本文通过对154篇论文的综述，从人类和生成式AI两个视角提出了一种新颖的分类法和对人机生成式AI交互的分析。设计空间的维度包括：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。在当前生成式AI发展阶段，人机生成式AI交互设计至关重要，本文工作也恰逢其时。我们还强调了挑战与机遇，以指导生成式AI系统及交互的设计，从而推动未来以人为中心的生成式AI应用的设计。