activity
20202024
most citedIntegrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel

179 citations · 205 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

Learning Design Preferences through Design Feature Extraction and Weighted Ensemble

Dongju Shin, Sunghee Lee, Namwoo Kang

Design is a factor that plays an important role in consumer purchase decisions. As the need for understanding and predicting various preferences for each customer increases along w…

cs.LG2022★ 2 cited

Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress

Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo +4

For ensuring vehicle safety, the impact performance of wheels during wheel development must be ensured through a wheel impact test. However, manufacturing and testing a real wheel…

cs.HC2020★ 23 cited

The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis

Sunghee Lee, Soyoung Yoo, Seongsin Kim +2

With the advancement of self-driving technology, the commercialization of Robo-taxi services is just a matter of time. However, there is some skepticism regarding whether such taxi…

cs.GR2020★ 179 cited

Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel

Soyoung Yoo, Sunghee Lee, Seongsin Kim +3

Engineering design research integrating artificial intelligence (AI) into computer-aided design (CAD) and computer-aided engineering (CAE) is actively being conducted. This study p…

cs.HC2020★ 1 cited

A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests

Soyoung Yoo, Sunghee Lee, Seongsin Kim +3

Despite the approaching commercialization of robo-taxis, various anxiety factors concerning the safety of autonomous vehicles are expected to form a large barrier against consumers…