J
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.
Papers
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A quantitative approach for assessment of creativity in product design
Xiaofang Yuan,Ji-Hyun Lee +1 more
TL;DR: The correlation coefficient of 20 factors critical in the product design process and the quality of design creativity via investigation of the design processes and outcomes of 30 senior student designers is revealed.
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Performance evaluation of artificial neural network-based variable control logic for double skin enveloped buildings during the heating season
TL;DR: In this article, two ANN-based control logic systems and two conventional rule-based logic systems were developed to control a heating device and the openings of a double skin enveloped building.
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Analyses on Human Responses to Illuminance Variations for Resident-Friendly Lighting Environment in a Small Office
TL;DR: In this article, the influence of illuminance variation on visual perception and mood in a small office was examined, where subjects conducted paper-based and computer-based reading tasks when six instantaneous fluctuation ranges were given under 500 and 650 lx base level conditions.
A Study of Emergence in the Generation of Islamic Geometric Patterns
TL;DR: In this article, the impact of emergence on a design space is explored via consideration of different methods used to generate designs in a particular style, and the extent to which emergence is employed in these methods has been explored.
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The gap between design intent and user response: identifying typical and novel car design elements among car brands for evaluating visual significance
TL;DR: This paper identifies correlations of design intent and user response to stylistic recognition of 23 car brands, with an emphasis on visual aesthetics, to find the distributions of the typical design elements and novel design elements by evaluating car exterior designs based on shape similarities.