Exploring take-back recovery strategies in the Circular Economy
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Ph.D. Student
Virginia Tech
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.
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Continue ReadingJENNIE 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.
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.
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.
Through the lens of care theory, this mixed-methods study examines barriers and motivations for returning unused medications, informing a co-designed toolkit that organizes behavioral influences to support pharmaceutical take-back.
This research investigates various take-back recovery strategies within the framework of the Circular Economy, aiming to enhance sustainability and resource efficiency.
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.
A conversational agent designed to enhance parent-child interactions during shared reading activities, with a focus on developing mathematical skills through engaging storytelling.
Virginia Tech University • 2025
Virginia Tech University • 2025
Graduate Teaching Assistant, Virginia Tech:
Fall 2025
Spring 2025