11 citations · 18 across the 23 of their papers we have counts for
27 papers
Ask Less, Ask Better: Allocating User Attention in Proactive LLM Agents with Interruption Budgets
Xuanming Zhang, Amir H. Rezaeian, Miguel Ballesteros +6
LLM agents can ask clarifying questions to complete tasks, but answering each question demands users' time and effort. Existing evaluations typically measure this burden by countin…
SPEAR: Five Principles for Interactive Human-Agent Alignment
Tao Long, Lydia B. Chilton
Recent AI alignment work often frames alignment as a pre-deployment optimization problem: collect human feedback, learn preferences or principles, finetune the model, and deploy an…
FlowCheck: Helping End-Users Specify and Verify Intent in Vibe-Coded Web Apps
Reya Vir, Lydia Chilton, Zhuo Zhang +1
Vibe-coded applications often contain silent behavioral failures in which the interface appears functional even though user-visible information does not flow to the expected state…
fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code
Vivian Liu, Lydia Chilton
Motion and emotion are core parts of intelligent, expressive behavior. In this paper, we introduce fog, a function composition framework for implementing and compose motion functio…
PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data
Zeyu He, Xuan Qi, Subramanian Chidambaram +4
Large language models increasingly serve as judges in AI evaluation, but current approaches rely on consensus preferences that ignore individual evaluator variation. We propose a n…
Designing for the Moment: How One-Minute Interventions Fit or Falter Across Domains
Zahra Hassanzadeh, Anne Hsu, Rachel Kornfield +8
This paper explores the design space for one-minute digital interventions that prompt immediate action without onboarding or sensing. By embracing Fogg's Behavior Model and four de…
Conversational Customization of Productivity Systems: A Design Probe of Malleable AI Interfaces
Karthik Sreedhar, Aryan Kaul, Lydia B. Chilton
Customization has long been a central goal in interactive systems, yet prior work shows that end-user tailoring occurs infrequently and is often confined to initial setup or moment…
ZORO: Active Controls to Support Rule Following in Vibe Coding
Jenny Ma, Sitong Wang, Joshua H. Kung +1
Rules files (e.g., AGENTSmd, CLAUDEmd) are the primary mechanism for human-agent alignment when developers vibe code. However, they remain passive: it is not immediately appa…
Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data
Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova +5
We study the reasoning behavior of large language models (LLMs) under limited computation budgets. In such settings, producing useful partial solutions quickly is often more practi…
Rewriting Video: Text-Driven Reauthoring of Video Footage
Sitong Wang, Anh Truong, Lydia B. Chilton +1
Video is a powerful medium for communication and storytelling, yet reauthoring existing footage remains challenging. Even simple edits often demand expertise, time, and careful pla…
DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow
Tao Long, Xuanming Zhang, Sitong Wang +2
Aligning agentic AI with user intent is critical for delegating complex, socially embedded tasks, yet user preferences are often implicit, evolving, and difficult to specify upfron…
Facilitating Longitudinal Interaction Studies of AI Systems
Tao Long, Sitong Wang, Émilie Fabre +14
UIST researchers develop tools to address user challenges. However, user interactions with AI evolve over time through learning, adaptation, and repurposing, making one time evalua…
Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits
Zahra Hassanzadeh, David Haag, Lydia Chilton +3
One-minute behavior change interventions might seem too brief to matter. Could something so short really help people build healthier routines? This work explores this question thro…
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
Ziyi Wang, Yuxuan Lu, Wenbo Li +13
Can large language models (LLMs) accurately simulate the next web action of a specific user? While LLMs have shown promising capabilities in generating ``believable'' human behavio…
Schemex: Discovering Structural Abstractions from Examples
Sitong Wang, Samia Menon, Dingzeyu Li +3
Creative and communicative work is often underpinned by implicit structures, such as the Hero's Journey in storytelling, design patterns in software, or chord progressions in music…
AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations
Jenny Ma, Riya Sahni, Karthik Sreedhar +1
Multi-agent large language model simulations have the potential to model complex human behaviors and interactions. If the mechanics are set up properly, unanticipated and valuable…
Schemex: Discovering Design Patterns from Examples through Iterative Abstraction and Refinement
Sitong Wang, Lydia B. Chilton
Expertise is often built by learning from examples. This process, known as schema induction, helps us identify patterns from examples. Despite its importance, schema induction rema…
Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs: Evidence and Mechanisms for AI Agents to Inform Policy Decisions
Karthik Sreedhar, Alice Cai, Jenny Ma +2
Human prosocial cooperation is essential for our collective health, education, and welfare. However, designing social systems to maintain or incentivize prosocial behavior is chall…
The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism
Sitong Wang, Jocelyn McKinnon-Crowley, Tao Long +6
As AI becomes more capable, it is unclear how human creativity will remain essential in jobs that incorporate AI. We conducted a 14-week study of a student newsroom using an AI too…
"I never would have thought to say this": Example-Based Exploration to Balance Scientists' Writing Preferences with Public Science Communication Strategies
Grace Li, Yuanyang Teng, Juna Kawai-Yue +8
Public-facing science communication is important in garnering interest, engagement, and trust in science. Social media platforms provide scientists with opportunities to reach broa…
JumpStarter: Human-AI Planning with Task-Structured Context Curation
Xuanming Zhang, Sitong Wang, Jenny Ma +3
Human-AI collaboration on complex planning goals is bottlenecked by how LLM interfaces handle context: users must manually curate and re-surface relevant information across long an…
DynEx: Dynamic Code Synthesis with Structured Design Exploration for Accelerated Exploratory Programming
Jenny Ma, Karthik Sreedhar, Vivian Liu +4
Recent advancements in large language models have significantly expedited the process of generating front-end code. This allows users to rapidly prototype user interfaces and ideat…
Copying style, Extracting value: Illustrators' Perception of AI Style Transfer and its Impact on Creative Labor
Julien Porquet, Sitong Wang, Lydia B. Chilton
Generative text-to-image models are disrupting the lives of creative professionals. Specifically, illustrators are threatened by models that claim to extract and reproduce their st…
DIDUP: Dynamic Iterative Development for UI Prototyping
Jenny Ma, Karthik Sreedhar, Vivian Liu +3
Large language models (LLMs) are remarkably good at writing code. A particularly valuable case of human-LLM collaboration is code-based UI prototyping, a method for creating intera…