most citedTowards AI as Colleagues: Multi-Agent System Improves Structured Ideation Processes

2 citations · 2 across the 6 of their papers we have counts for

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cs.HC2026

PAIR: Perceptual Affective Inference and Regulation in a Real-Time Multimodal Conversational Agent

Kexin Quan, Zijian Ding, Jiaye Yong +3

Sustained emotional support requires generative agents to connect momentary emotion inference and regulation with continuity across encounters. We present PAIR (Perceptual Affectiv…

cs.HC2026

When a Story Feels Like Mine: How Personalized Narratives and Humor Shape Older Adults' Empathy toward LLM-Generated Peer Health Stories

Kexin Quan, Precious Olalere, Smit Desai +1

Peer stories have been shown to boost self-efficacy in older adults' health behavior change. Despite their effectiveness, peer stories are difficult to deploy in health promotion a…

cs.HC2026

From Momentary Emotion Inference to Sustained Emotion Support: Evaluating a Companion Agent in a Longitudinal Study

Kexin Quan, Zijian Ding, Jiaye Yong +3

Sustained emotional support is a long-horizon interaction task closely tied to human well-being. Recent research demonstrates generative agents' capacity for momentary emotional su…

cs.HC2026

What Makes an AI Writing Companion a Good Fit? A Personality-Informed Co-Design Study

Mengke Wu, Kexin Quan, Weizi Liu +2

The growing popularity of AI writing assistants creates exciting opportunities to support diverse writers. This study examines how personality shapes expectations for AI writing co…

cs.HC2026

YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support

Dina Albassam, Kexin Quan, Mengke Wu +3

YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: lea…

cs.HC2026

Conversational Decision Support for Information Search Under Uncertainty: Effects of Gist and Verbatim Feedback

Kexin Quan, Jessie Chin

Many real-world decisions rely on information search, where people sample evidence and decide when to stop under uncertainty. The uncertainty in the environment, particularly how d…

cs.HC2025

Can Conversational AI Counsel for Change? A Theory-Driven Approach to Supporting Dietary Intentions in Ambivalent Individuals

Michelle Bak, Kexin Quan, Tre Tomaszewski +1

Adherence to healthy diets reduces chronic illness risk, yet rates remain low. Large Language Models (LLMs) are increasingly used for health communication but often struggle to eng…

cs.HC2025★ 2 cited

Towards AI as Colleagues: Multi-Agent System Improves Structured Ideation Processes

Kexin Quan, Dina Albassam, Mengke Wu +2

Most AI systems today are designed to manage tasks and execute predefined steps. This makes them effective for process coordination but limited in their ability to engage in joint…

cs.HC2025

"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions

Mengke Wu, Kexin Quan, Weizi Liu +2

The growing popularity of AI writing assistants presents exciting opportunities to craft tools that cater to diverse user needs. This study explores how personality shapes preferen…