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 …

Machine learning models have been trained to predict semantic information about user
interfaces (UIs) to make apps more accessible, easier to test, and to automate. Currently …

Multimodal Vision-Language Models (VLMs) enable powerful applications from their fused
understanding of images and language, but many perform poorly on UI tasks due to the lack …

Touchscreen devices, designed with an assumed range of user abilities and interaction
patterns, often present challenges for individuals with diverse abilities to operate …

Recent advancements in HCI and AI research attempt to support user experience (UX)
practitioners with AI-enabled tools. Despite the potential of emerging models and new …

Feedback on user interface (UI) mockups is crucial in design. However, human feedback is
not always readily available. We explore the potential of using large language models for …

Vector graphics are an industry-standard way to represent and share visual designs.
Designers frequently source and incorporate styles from existing designs into their work …

Everyone is unique. Given the same visual stimuli, people's attention is driven by both
salient visual cues and their own inherent preferences. Knowledge of visual preferences not …

Progress in human behavior modeling involves understanding both implicit, early-stage
perceptual behavior such as human attention and explicit, later-stage behavior such as …

Mobile apps have become indispensable for accessing and participating in various
environments, especially for low-vision users. Users with visual impairments can use screen …