Sungkyun Im

Incoming Postdoctoral Researcher
MUSE Lab., Hanyang University

Human Factors · Psychophysiological Assessment · Human–AI Interaction · User Experience

Studying human states, user experience, and human–technology interaction through physiological and behavioral measures.

Explore: Research · Projects · Publications · CV

Research Areas

  • Human Factors & User Experience — Evaluating products, work systems, and interactive technologies through human performance, ergonomics, usability, and user experience.
  • Psychophysiological Assessment — Using EEG, ECG/HRV, EMG, eye tracking, and subjective measures to characterize human states, responses, and individual differences.
  • Human–AI Interaction — Investigating adaptive and explainable AI-enabled systems from a human-centered perspective, with attention to user behavior and response.

About

My research examines human states, experiences, and interactions with technology through physiological and behavioral measures. EEG, ECG/HRV, EMG, eye tracking, questionnaires, and controlled experiments are used to investigate how people respond to products, environments, games, and interactive systems.

Methodologically, this work spans the full research process, from problem formulation and experimental design to data acquisition, signal processing, statistical analysis, and machine-learning modeling. Recent studies have examined physiological markers and event-driven EEG features associated with gaming-disorder risk, alongside applied research on stress, affect, fatigue, usability, and ergonomics.

A background in mechanical engineering and automotive safety research provides an applied, measurement-oriented foundation for this work. Building on that foundation, the current research direction extends toward human–AI interaction, particularly the evaluation and design of adaptive, usable, and human-centered intelligent systems.

Methods & Expertise

Physiological & Behavioral Measures

EEG · ECG/HRV · EMG · Eye Tracking · Questionnaires

Study Design & Evaluation

Experimental Design · User Studies · Usability Evaluation · Human Factors Evaluation

Data Analysis & Modeling

Psychophysiological Signal Analysis · Statistical Modeling · Machine Learning · Explainable AI

Research Highlights

Physiological Assessment of Gaming Disorder

Event-driven EEG, HRV, and machine-learning approaches to human-state assessment.

Applied Ergonomics and UX Evaluation

Human-factors studies involving physical ergonomics, eye tracking, EMG, usability, and product interaction.

Human–AI Interaction and Adaptive XAI

An emerging research direction focused on adaptive, explainable, and human-centered intelligent systems.