144 citations · 316 across the 8 of their papers we have counts for
9 papers
Elicitive User Interfaces: Designing How Users Shape Generative Interfaces
Eunhye Kim, Bryan Min, Haijun Xia +1
Generative user interfaces (GenUI) promise personalized interfaces to a user's tasks and needs. However, user needs are often implicit---difficult for systems to infer and users to…
Maru: Information Architecture as a Shared Language for Generating Aligned and Persistent User Interfaces
Eunhye Kim, DaEun Choi, Bryan Min +3
Generative user interfaces (GenUIs) promise on-demand components tailored to users' needs. As users iterate on information tasks, they construct personal structures over informatio…
Making Abstraction Concrete: A Design Space and Interaction Model of Abstraction in Interactive Systems
Bryan Min, Sangho Suh, Jim Hollan +1
The principle of abstraction guides the design of interactive systems, yet we lack a conceptual framework to understand how it shapes interaction design. Existing models, such as t…
Gradual Generation of User Interfaces as a Design Method for Malleable Software
Bryan Min, Peiling Jiang, Zhicheng Huang +1
AI is growing increasingly capable of automatically generating user interfaces (GenUI) from user prompts. However, designing GenUI applications that enable users to discover divers…
Malleable Overview-Detail Interfaces
Bryan Min, Allen Chen, Yining Cao +1
The overview-detail design pattern, characterized by an overview of multiple items and a detailed view of a selected item, is ubiquitously implemented across software interfaces. D…
Feedforward in Generative AI: Opportunities for a Design Space
Bryan Min, Haijun Xia
Generative AI (GenAI) models have become more capable than ever at augmenting productivity and cognition across diverse contexts. However, a fundamental challenge remains as users…
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
Sangho Suh, Meng Chen, Bryan Min +2
Thanks to their generative capabilities, large language models (LLMs) have become an invaluable tool for creative processes. These models have the capacity to produce hundreds and…
ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions
Jeongeon Park, Bryan Min, Kihoon Son +3
From deciding on a PhD program to buying a new camera, unfamiliar decisions--decisions without domain knowledge--are frequent and significant. The complexity and uncertainty of suc…
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models
Sangho Suh, Bryan Min, Srishti Palani +1
People are increasingly turning to large language models (LLMs) for complex information tasks like academic research or planning a move to another city. However, while they often r…