Publications

All
Human-AI Interaction
Human-Robot Interaction
Applied Machine Learning

2024

Investigating a Multimodal Fusion Approach for Detecting Facial Palsy

Nicole Heng Yim Oo, Min Hun Lee, Jeong Hoon Lim

Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network

Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making

Min Hun Lee, Renee Bao Xuan Ng, Silvana Xinyi Choo, Shamala Thilarajah

Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making

Min Hun Lee, Silvana Xinyi Choo, Shamala Thilarajah

2023

Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making

Min Hun Lee, Chong Jun Chew
ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW) 2023

Exploring a Gradient-based Explainable AI Technique for Time-Series Data: A Case Study of Assessing Stroke Rehabilitation Exercises

Min Hun Lee, Yi Jing Choy
International Conference on Learning Representations (ICLR) Time Series Representation Learning for Health WS 2023

Design, Development, and Evaluation of an Interactive Personalized Robot to Monitor and Coach Rehabilitation Exercises

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
User Modeling and User-Adapted Interaction 2023

Designing a Human-centered Intelligent System to Monitor & Explain Abnormal Patterns of Older Adults

Min Hun Lee, Daniel P. Siewiorek, Alexandre Bernardino
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) Poster 2023

Skeleton Tracking Solutions for a Low-cost Stroke Rehabilitation Support System

Ana Rita Cóias, Min Hun Lee, Alexandre Bernardino, Asim Smailagic
IEEE International Conference on Rehabilitation Robotics (ICORR) 2023

2022

Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders

Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu
ACM FAccT Conference on Fairness, Accountability, and Transparency (FAccT) 2022

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
International Journal of Social Robotics 2022

Towards Efficient Annotations for a Human-AI Collaborative, Clinical Decision Support System

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
ACM International Conference on Intelligent User Interfaces (IUI) 2022

A low-cost virtual coach for 2D video-based compensation assessment of upper extremity rehabilitation exercises

Ana Rita Cóias, Min Hun Lee, Alexandre Bernardino
Journal of NeuroEngineering and Rehabilitation 2022

2021

Interactive Hybrid Intelligence Systems for Human-AI/Robot Collaboration

PhD thesis.

A Human-AI Collaborative Approach for Clinical Decision Making on Rehabilitation Assessment

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
ACM Conference on Human Factors in Computing Systems (CHI) 2021

2020

Co-Design and Evaluation of an Intelligent Decision Support System for Stroke Rehabilitation Assessment

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
ACM on Human-Computer Interaction. 4 (CSCW2):156 2020

Towards Personalized Interaction and Corrective Feedback of a Socially Assistive Robot for Post-Stroke Rehabilitation Therapy

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2020

Interactive Hybrid Approach to Combine Machine and Human Intelligence for Personalized Rehabilitation Assessment

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
ACM Conference on Health, Inference, and Learning (CHIL) 2020

An Exploratory Study on Techniques for Quantitative Assessment of Stroke Rehabilitation Exercises

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
ACM Conference on User Modeling, Adaptation and Personalization (UMAP) 2020

2019

Learning to Assess the Quality of Stroke Rehabilitation Exercises

Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez i Badia
ACM International Conference on Intelligent User Interfaces (IUI) 2019

An Intelligent Decision Support System for Stroke Rehabilitation Assessment

ACM SIGACCESS Conference on Computers and Accessibility (ASSETS Student Research Competition) 2019

Intelligent Agent for Assessing and Guiding Rehabilitation Exercises

International Joint Conference on Artificial Intelligence (IJCAI Doctoral Consortium) 2019

2018

Statistical Review on Neural Networks

A Technology for Computer-Assisted Stroke Rehabilitation

ACM International Conference on Intelligent User Interfaces (IUI Student Consortium) 2018

2017

An Approach for Self-Training Audio Event Detectors using Web Data

Benjamin Elizalde*, Ankit Shah*, Siddharth Dalmia*, Min Hun Lee*, Rohan Badlani, Anurag Kumar, Bhiksha Raj, Ian Lane
European Signal Processing Conference (EUSIPCO) 2017

Neural-Network Models for Detecting Fake-News

Min Hun Lee, Sumeet Kumar

A-EPSGLD: An Asynchronous Distributed Framework for Efficient Large-scale LDA Inference

Yuan Yang, Yifan Yang, Min Hun Lee