Jangkyu Ju

Research & Professional Experience

Georgia Institute of Technology

Atlanta, GA

Graduate Student Researcher | GT Visualization Lab Advisor: Cindy Xiong Bearfield

2026 - Present

• Research on human-AI interaction and AI interface design, with a focus on how information visualization choices shape people's cognition, perception, and trust when interacting with AI systems

Hyundai Motor Group

Seoul, Korea

Data Scientist | Data Insight Team, ICT Division

2025 - 2026

• Cross-domain data analysis (e.g., vehicle, customer, sales, production), metrics development, dashboard visualization
• Optimization and automation of ML models and data pipelines for scalable deployment

Research Engineer | Infotainment Development Center, Advanced Vehicle Platform (AVP) Division

2023 - 2025

• Large-scale in-vehicle infotainment (IVI) data analysis for modeling user behavior and metrics development
• Machine Learning model and Human-Machine Interface design for personalized IVI recommendation systems

Korea University

Seoul, Korea

Graduate Student Researcher | Human Performance Lab, School of Psychology Advisor: Yang-Seok Cho

2021 - 2023

• Visual complexity of automotive head-up displays and attentional tunneling in driving
• Exploration for reward information in modulating Value-Driven Attentional Capture (VDAC)
• Computational simulation of associative learning models in VDAC

Research Assistant | Human Performance Lab, School of Psychology

2020

• Behavioral experiments (keypress, mouse-tracking, neuroimaging), statistical analysis

L'Oréal Korea

Seoul, Korea

Data Analyst Intern | Human Resources

2019

• Company-wide data analysis to support HR and operations decisions

Education

Publications (* co-first authors)

1. Lee, J.*, Lee, N.*, Ju, J.*, Chae, J., Park, J., Ryu, H. S., & Cho, Y. S. (2024). Visual complexity of head-up display in automobiles modulates attentional tunneling. Human Factors, 66(7), 1879-1892.

2. Ju, J., Lee, E., & Park, S. (2024). Comparative analysis of ensemble machine learning models for personalized in-vehicle infotainment recommendation systems. Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 45-50.

3. Ju, J., & Cho, Y. S. (2023). The modulation of value-driven attentional capture by exploration for reward information. Journal of Experimental Psychology: Learning, Memory, and Cognition, 49(2), 181-197.

4. Jeong, J. H., Ju, J., Kim, S., Choi, J. S., & Cho, Y. S. (2023). Value-driven attention and associative learning models: a computational simulation analysis. Psychonomic Bulletin & Review, 30(5), 1689-1706.

Conference & Workshop Presentations

1. Ju, J., Lee, E., & Park, S. (2024). Comparative analysis of ensemble machine learning models for personalized in-vehicle infotainment recommendation systems. Poster presented at 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Stanford, USA.

2. Ju, J., & Cho, Y. S. (2022). Distinctive effects of predictiveness and uncertainty of reward in value-driven attentional capture. Poster presented at 63rd Annual Meeting of the Psychonomic Society, Boston, USA.

3. Lee, J., Lee, N., Ju, J., Chae, J., Park, J., Ryu, H. S., & Cho, Y. S. (2022). Simple is the best! Visual complexity of head-up display in automobiles modulates attentional tunneling and driving performance. Poster presented at 13th International Conference of the Applied Human Factors and Ergonomics, New York, USA.

4. Ju, J., & Cho, Y. S. (2022). The effects of predictiveness and uncertainty of reward on value-driven attentional capture. Poster presented at 2022 Annual Conference of the Korean Society of Cognitive and Biological Psychology, Virtual.

5. Lee, N., Lee, J., Ju, J., Chae, J., Park, J., & Ryu, H. S. (2022). Simple is the best!: Visual complexity of head-up display modulates driving performance. Talk presented at 2022 Annual Conference of the Korean Society of Cognitive and Biological Psychology, Virtual. Award: Outstanding Presentation Award

6. Ju, J., & Cho, Y. S. (2021). Distinctive effects of entropy and variance of reward in value-driven attentional capture. Poster presented at 62nd Annual Meeting of the Psychonomic Society, Virtual.

7. Ju, J., & Cho, Y. S. (2021). Impact of reward information entropy and variance on value-driven attentional capture. Talk presented at 2021 Annual Conference of the Korean Society of Cognitive and Biological Psychology, Virtual.

Awards & Scholarship

Teaching Experience

Invited Talks

Skills