WELCOME TO THE LAB
Design Informatics Lab (DI Lab) investigate on teaching computers to design and assist designer’s creativity. We develop design automation tools and methods to assist the design process. We utilize cutting-edge intersections among design, data science, and information technology, opening a host of opportunities in collaborating with institutions, companies, and public organizations. Our research interests focus on three interdisciplinary areas:
1) Design Quantification & Automation
Example Papers:
-
Balancing Homogeneity and Heterogeneity in Design Exploration by Synthesizing Novel Design Alternatives based on Genetic Algorithm and Strategic Styling Decision.
Advanced Engineering Informatics 38 (2018): 113-128.
-
The Gap between Design Intent and User Response: Identifying Typical and Novel Car Design Elements among Car Brands for Evaluating Visual Significance. Journal of Intelligent Manufacturing 28.7 (2017): 1729-1741.
-
Style synthesis and analysis of car designs for style quantification based on product appearance similarities. Advanced Engineering Informatics 29.3 (2015): 483-494.
2) Intelligent Design System
Example Papers:
-
C-Space: An Interactive Prototyping Platform for Collaborative Spatial Design Exploration.
CHI 2020 Paper.
Honolulu, USA.
-
3D Computational Sketch Synthesis Framework: Assisting Design Exploration Through Generating Variations of User Input Sketch and Interactive 3D Model Reconstruction.
Computer-Aided Design 120 (2020): 102789.
-
A Rule-Based Design Support System for Theme Park Servicescape. Advanced Engineering Informatics 32.2 (2017): 77-91.
3) Interaction Techniques & Devices
Example Papers:
-
Pixel of Matter: New Ways of Seeing with an Active Volumetric Filmmaking System. Leonardo (2020 SIGGRAPH - Art Paper) Accepted.
-
Image-based Tactile Emojis: Improved Interpretation of Message Intention and Higher Emotional Clarity for Visually Impaired Individuals.
Human-Computer Interaction 35.1 (2020): 40-69.
-
Directional Force Feedback: Mechanical Force Concentration for Immersive Experience in Virtual Reality. Applied Sciences 9.18 (2019): 3692.
