Human Computer Interaction

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Research

Research Areas

Home > Research > Research Areas > Human Computer Interaction

Research Areas

Home > Research > Research Areas > Human Computer Interaction

Research Goals and Vision

The human-computer interaction (HCI) research at the KAIST School of Electrical Engineering aims to enhance user experience and facilitate seamless interaction between humans and machines. This research develops various interaction technologies and provides innovative applications through these advancements. The department’s innovative research in human-robot interaction, virtual and augmented reality, wearable interaction, digital health, social computing, usable security, and human-AI interaction is applied across various industries.

Key Research Areas

Human-Robot Interaction

Collaborative Robots : Developing systems that enable humans and robots to work together collaboratively. Research focuses on motion planning, control, and safe interaction.
Emotion Recognition : Creating technology that allows robots to recognize and appropriately respond to human emotions.

관련교수

FACULTIES

Virtual and Augmented Reality

VR/AR System Development : Designing and implementing immersive virtual reality (VR) and augmented reality (AR) systems. Applications include education, entertainment, and healthcare.
Enhancing User Experience : Researching interfaces and interaction methods to optimize user experience in VR/AR environments.

관련교수

FACULTIES

Wearable Interaction

Wearable Device Development : Developing wearable devices such as smartwatches and AR glasses, and researching their interactions.
Health Monitoring : Creating systems that use wearable technology to monitor and analyze real-time health data.

관련교수

FACULTIES

Digital Health

Telemedicine Systems : Developing systems for diagnosing and treating patients remotely.
Health Data Analysis : Analyzing large-scale health data to predict and prevent diseases.

관련교수

FACULTIES

Social Computing

Online Community Analysis : Analyzing interactions among users in social media and online communities to understand social behavior.
Collaboration Systems : Developing systems that support online collaboration to enhance work efficiency.

관련교수

FACULTIES

Lee, Sung-Ju

User-oriented Security

Security Interfaces : Designing security systems that are easy to use and understand, reducing the likelihood of user errors.
Security Education : Developing educational materials and tools to help users recognize and respond to security risks.

관련교수

FACULTIES

Human-AI Interaction

AI Assistants : Developing AI assistants that allow for natural interactions with users.
Explainable AI : Researching explainable AI systems to help users understand and trust AI decisions.

관련교수

FACULTIES

Lee, Sung-Ju

Recent related activities in Human Computer Interaction

See below for specifc ongoing research topics related to Human Computer Interaction of KAIST EE.

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Research Areas

Human Computer Interaction

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