Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

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 …

While diffusion-based text-to-image (T2I) models provide a simple and powerful way to
generate images, guiding this generation remains a challenge. For concepts that are difficult …

Prewriting is the process of discovering and developing ideas before writing a first draft,
which requires divergent thinking and often implies unstructured strategies such as …

CatAlyst uses generative models to help workers' progress by influencing their task
engagement instead of directly contributing to their task outputs. It prompts distracted …

In the field of graphic design, the application of Artificial Intelligence (AI) is reshaping the
design process. This study employs the Critical Interpretive Synthesis (CIS) approach to …

The artist as a solitary genius does not reflect the reality of art-making. To enable art-making,
artists are supported by many other people—subcontractors, collaborators, etc.—who …

The recent advancements in Generative AI have significantly advanced the field of text-to-
image generation. The state-of-the-art text-to-image model, Stable Diffusion, is now capable …

The local explanation provides heatmaps on images to explain how Convolutional Neural
Networks (CNNs) derive their output. Due to its visual straightforwardness, the method has …

Semantic typographic logos harmoniously blend typeface and imagery to represent
semantic concepts while maintaining legibility. Conventional methods using spatial …