May 11-16, 2024 | Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
Generative AI (GenAI) is transforming creative industries by enabling co-creation between human expertise and AI capabilities. This study explores how users perceive and utilize GenAI in real-world scenarios through semi-structured interviews with 18 GenAI users in creative fields. The findings reveal three key aspects: prospects, challenges, and strategies. Prospects highlight how GenAI enhances creative workflows by automating content generation and fostering collaboration. Challenges include uncertainties related to resource availability, tool usability, and regulatory compliance. Strategies involve users actively exercising agency to overcome these challenges through learning, exploration, and experimentation. The study emphasizes the need for a human-centric approach to GenAI design, considering social nuances, affective relationships, and ethical concerns. The research contributes to HCI by providing insights into the dynamic, iterative nature of human-GenAI interaction in creative contexts. Key findings include the importance of learning resources, the challenges of resource scarcity and rapid technological evolution, and the strategies users employ to navigate these issues. The study also highlights the need for user-centered design in GenAI tools to address non-functional concerns and enhance user experience. Overall, the study underscores the complex interplay between human and AI in creative workflows, emphasizing the importance of understanding user agency and the evolving nature of GenAI in real-world settings.Generative AI (GenAI) is transforming creative industries by enabling co-creation between human expertise and AI capabilities. This study explores how users perceive and utilize GenAI in real-world scenarios through semi-structured interviews with 18 GenAI users in creative fields. The findings reveal three key aspects: prospects, challenges, and strategies. Prospects highlight how GenAI enhances creative workflows by automating content generation and fostering collaboration. Challenges include uncertainties related to resource availability, tool usability, and regulatory compliance. Strategies involve users actively exercising agency to overcome these challenges through learning, exploration, and experimentation. The study emphasizes the need for a human-centric approach to GenAI design, considering social nuances, affective relationships, and ethical concerns. The research contributes to HCI by providing insights into the dynamic, iterative nature of human-GenAI interaction in creative contexts. Key findings include the importance of learning resources, the challenges of resource scarcity and rapid technological evolution, and the strategies users employ to navigate these issues. The study also highlights the need for user-centered design in GenAI tools to address non-functional concerns and enhance user experience. Overall, the study underscores the complex interplay between human and AI in creative workflows, emphasizing the importance of understanding user agency and the evolving nature of GenAI in real-world settings.