Kevin Pu

schoolUniversity of Torontobar_chart#1075 Global Rank

Total Papers

HCI Rank

#1075

Research Areas

Years Active

Recent Publications

Cocoa: Co-Planning and Co-Execution with AI Agents

As AI agents take on increasingly long-running tasks involving sophisticated planning and execution, there is a corresponding need for novel interaction designs that enable deeper human-agent collaboration. However, most prior works leverage human interaction to fix "autonomous" workflows that have yet to become fully…

UIST '251st AuthorIn-Vehicle Haptic, Audio & Multimodal Feedback +2

ProMemAssist: Exploring Timely Proactive Assistance Through Working Memory Modeling in Multi-Modal Wearable Devices

Wearable AI systems aim to provide timely assistance in daily life, but existing approaches often rely on user initiation or predefined task knowledge, neglecting users' current mental states. We introduce ProMemAssist, a smart glasses system that models a user's working memory (WM) in real-time using multi-modal sens…

UIST '253rd AuthorHuman-LLM Collaboration +1

StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation

Design processes involve exploration, iteration, and movement across interconnected stages such as persona creation, problem framing, solution ideation, and prototyping. However, time and resource constraints often hinder designers from exploring broadly, collecting feedback, and revisiting earlier assumptions—making…

CHI '251st AuthorHuman-LLM Collaboration +2

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

AI programming tools enable powerful code generation, and recent prototypes attempt to reduce user effort with proactive AI agents, but their impact on programming workflows remains unexplored. We introduce and evaluate Codellaborator, a design probe LLM agent that initiates programming assistance based on editor acti…

CHI '251st AuthorHuman-LLM Collaboration +2

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback

Research ideation involves broad exploring and deep refining ideas. Both require deep engagement with literature. Existing tools focus primarily on broad idea generation, yet offer little support for iterative specification, refinement, and evaluation needed to further develop initial ideas. To bridge this gap, we int…

UIST '243rd AuthorHuman-LLM Collaboration +1

VizGroup: An AI-assisted Event-driven System for Collaborative Programming Learning Analytics

Programming instructors often conduct collaborative learning activities, like Peer Instruction, to foster a deeper understanding in students and enhance their engagement with learning. These activities, however, may not always yield productive outcomes due to the diversity of student mental models and their ineffectiv…

CHI '242nd AuthorContent Moderation & Platform Governance +1

Behind the Pup-ularity Curtain: Understanding the Motivations, Challenges, and Work Performed in Creating and Managing Pet Influencer Accounts

Creating dedicated accounts to post users’ pet content is a growing trend on Instagram. While these account owners derive joy from this pursuit, they may also struggle with criticisms and challenges. Yet, there remains a knowledge gap on how pet account owners manage their pets' online presence and navigate these o…

UIST '231st AuthorHuman-LLM Collaboration +1

DiLogics: Creating Web Automation Programs with Diverse Logics

Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web actions accurately and extending to new specifications is challenging. Existing tools can automate tasks that perform the same logical tra…

UIST '221st AuthorHonorable MentionRecommender System UX +1

SemanticOn: Specifying Content-Based Semantic Conditions for Web Automation Programs

Data scientists, researchers, and clerks often create web automation programs to perform repetitive yet essential tasks, such as data scraping and data entry. However, existing web automation systems lack mechanisms for defining conditional behaviors where the system can intelligently filter candidate content based on…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/11896?source=all