Large-scale Text-to-image Generation Models (LTGMs)(eg, DALL-E), self-supervised deep
learning models trained on a huge dataset, have demonstrated the capacity for generating …

Text-guided synthesis of images has made a giant leap towards becoming a mainstream
phenomenon. With text-to-image generation systems, anybody can create digital images …

Large language models (LLMs) are now being used in a wide variety of contexts, including
as creativity support tools (CSTs) intended to help their users come up with new ideas. But …

This paper analyses Human-Computer Interaction (HCI) literature reviews to provide a clear
conceptual basis for authors, reviewers, and readers. HCI is multidisciplinary and various …

Researchers have argued that large language models (LLMs) exhibit high-quality writing
capabilities from blogs to stories. However, evaluating objectively the creativity of a piece of …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

This paper examines the art practices, artwork, and motivations of prolific users of the latest
generation of text-to-image models. Through interviews, observations, and a user survey, we …

Modern large-scale language models approach the quality of human-level writing. This
promises the advent of AI writing companions performing AI-led writing under human …

Science writers commonly use extended metaphors to communicate unfamiliar concepts in
a more accessible way to a wider audience. However, creating metaphors for science …

Human-AI interaction in text production increases complexity in authorship. In two empirical
studies (n1= 30 & n2= 96), we investigate authorship and ownership in human-AI …