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Ji-Hyun Lee

Researcher at KAIST

Publications -  105
Citations -  1020

Ji-Hyun Lee is an academic researcher from KAIST. The author has contributed to research in topics: User experience design & Engineering design process. The author has an hindex of 16, co-authored 96 publications receiving 811 citations. Previous affiliations of Ji-Hyun Lee include National Yunlin University of Science and Technology.

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Book ChapterDOI

Principles of Dynamic Display Aiding Presence in Mixed Reality Space Design

TL;DR: The indicators collected through the researches about the existing measurement and evaluation of the existence felling and information suggestion methods in mixed reality are classified as the evaluation principles of the displays and multimodal's interfaces that construct the mixed reality.
Book ChapterDOI

Toward a Computational Approach of Creativity Assessment in Product Design

TL;DR: A computational approach of creativity assessment in product design via the combination of the design process and design creativity is proposed, and a method to quantify theDesign creativity is established using the Consensual Assessment Technique.
Book ChapterDOI

A Study on Understanding of Visitor Needs in Art Museum: Based on Analysis of Visual Perception Through Eye-Tracking

TL;DR: The eye-tracking experiment and in-depth interview is conducted to grasp the interest and needs of visitors and the possibility of deriving their interests and needs by studying the gaze data (e.g. duration and the number of fixations) of the visitors in the museum.
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Symbiosis: creativity with affective response

TL;DR: The objective of this research is to present the symbiosis concept that integrates creativity and the recent research issues in affective response to products shapes in a rational way through creativity approach that support on creativity stimulation for current highly competitive market.
Book ChapterDOI

Service Design of Intergeneration Home-Sharing System Using VR-Based Simulation Technology and Optimal Matching Algorithms

TL;DR: This research suggests an integrative solution to support optimal matching of cohabitants by developing matching algorithm and then implementing spatial mapping and simulation system using VR technology.