  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.
