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MUSE Lab

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MUSE Lab aims to enhance user experiences for services and products and solve social problems by leveraging innovative data analysis methodologies such as machine learning and deep learning.
Specifically, rather than merely improving system performance to support users, we seek fundamental answers to how systems and humans should collaborate to achieve shared goals, designing user-centered systems.

Laboratory Introduction

KOR
사용자시스템 및 경험 연구를 위한 기계학습 연구실
ENG
MUSE Lab (Machine Learning for User Systems and Experiences Lab)
Supervising Professor
Park Jeong-eun
Email
parkje@hanyang.ac.kr
Phone
031-400-1058
Website
muse.hanyang.ac.kr

Research Areas

Deep learning applications, generative AI, explainable AI, data analysis, human-computer interaction, user experience

The Machine Learning for User Systems and Experiences Lab (MUSE LAB) aims to use deep learning algorithms to solve social problems and enhance user experience in services and products. We focus our research on developing efficient methods for users to interact effectively with systems.

Research Areas: Deep learning applications, Generative AI, Explainable AI (XAI), Data analytics, Human-Computer Interaction (HCI), User experience (UX)