Jaehoon Pyon

Jaehoon Pyon

Ph.D. Student

Virginia Tech

Biography

I am a 2nd year Ph.D. student in Computer Science at Virginia Tech. I am a member of the Echo Lab, advised by Prof. Sang Won Lee. My research interests lie in human-computer interaction (HCI), with a focus on behavior change and Human-AI Interaction (HAX). My current research explores how Conversational Agents (CAs) can be integrated into group reading activities to enhance parent-child interactions and support the development of mathematical skills.

Interests
  • Human-Computer Interaction
  • Behavior Change
  • Human-AI Interaction
Education
Ph.D. in Computer Science
Virginia Tech University
2024--Present
B.A. in Computer Science
Bucknell University
2018--2024
JENNIE: Joint Expression of Narrative, Nurturing, Inquiry, and Engagement

Jaehoon Pyon, Koeun Choi, Young-Ho Kim, Sang Won Lee

Under review, CHI 2027

JENNIE is a multimodal reading companion that uses AI voice actors to read story characters alongside parents and children, asking questions grounded in the conversation, text, and illustrations. A one-week in-home deployment with 11 families showed it eased parents' burden, sustained children's engagement and comprehension, and helped parents ask new questions.

Between Tool and Temptation: Minimalists' Spectrum of Technology Use

Jaehoon Pyon, Carlos Augusto Bautista Isaza, Yoon Jung Choi, Myounghoon Jeon, Eunjeong Cheon, Sang Won Lee

Under review, CHI 2027

Through interviews with 22 self-identified minimalists, this study finds that technology sits on a spectrum between tool and temptation, shaped by intentionality, perceived control, cost visibility, and alignment with values, and offers design implications for more intentional technology use.

Watch Me Watch: Reaction Videos as a Social Form of Online Video Engagement

Rodney K. Okyere, Carlos Augusto Bautista Isaza, Jaehoon Pyon, Ihudiya Finda Ogbonnaya-Ogburu, Shuo Niu, Sang Won Lee

Proceedings of the ACM on Human-Computer Interaction (CSCW), 2026

This study examines how viewers discover, engage with, and find value in reaction videos, revealing how emotional bonds with reactors and shared communal experiences drive virality, content discovery, and participatory culture across social video platforms.

Exploring take-back recovery strategies in the Circular Economy

Yoon Jung Choi, Jiayuan Dong, Jaehoon Pyon

Product Lifetimes and the Environment Conference (PLATE), 2025

This research investigates various take-back recovery strategies within the framework of the Circular Economy, aiming to enhance sustainability and resource efficiency.

Toysphere

This project aims to address the environmental impact of discarded toys. With 80% of toys ending up in landfills despite their potential for reuse, the project seeks to reduce waste by encouraging children and parents to make more sustainable decisions regarding end-of-life (EoL) toys.

TaleMate

A conversational agent designed to enhance parent-child interactions during shared reading activities, with a focus on developing mathematical skills through engaging storytelling.

Graduate Teaching Assistant, Virginia Tech:

CS 3724: Introduction to Human-Computer Interaction

Fall 2025

CS 5244: Web Application Development

Spring 2025