Human-AI co-creativity involves both humans and AI collaborating on a shared creative
product as partners. In a creative collaboration, interaction dynamics, such as turn-taking …

Generative AI applications present unique design challenges. As generative AI technologies
are increasingly being incorporated into mainstream applications, there is an urgent need …

This workshop applies human centered themes to a new and powerful technology,
generative artificial intelligence (AI). Unlike AI systems that produce decisions or …

Data storytelling is powerful for communicating data insights, but it requires diverse skills
and considerable effort from human creators. Recent research has widely explored the …

Machine learning advances have afforded an increase in algorithms capable of creating art,
music, stories, games, and more. However, it is not yet well-understood how machine …

Researchers who build creativity support tools (CSTs) define abstractions and software
representations that align with user needs to give users the power to accomplish tasks …

Machine learning is challenging the way we make music. Although research in deep
generative models has dramatically improved the capability and fluency of music models …

Co-creative systems have been widely explored in the field of computational creativity.
However, existing AI partners of these systems are mostly virtual agents. As sketching on …