GenAICHI: Generative AI and HCI

作者：Michael J. Muller, Lydia B. Chilton, Anna Kantosalo, Charles Patrick Martin, Greg Walsh · 发表于：CHI Conference on Human Factors in Computing Systems Extended Abstracts · 年份：2022 · DOI：10.1145/3491101.3503719 · 被引用次数：94 · 研究领域：Creativity in Education and Neuroscience、Aesthetic Perception and Analysis、Action Observation and Synchronization

This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). Unlike AI systems that produce decisions or descriptions, generative AI systems can produce new and creative content that can include images, texts, music, video, and other forms of design. The results are often similar to results produced by humans. However, it is not yet clear how humans make sense of generative AI algorithms or their outcomes. It is also not yet clear how humans can control and more generally, interact with, these powerful capabilities. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together.