Jangkyu Ju

I began my Ph.D. in Computer Science at Georgia Tech and joined the GT Visualization Lab, advised by Cindy Xiong Bearfield.

I concluded my role at Hyundai Motor Group after working as a Research Engineer and Data Scientist from 2023 to 2026.

I accepted an offer of admission to the Ph.D. program at the Georgia Institute of Technology (Georgia Tech).

Our paper on developing machine-learning models for personalized in-vehicle infotainment recommendation systems was published in the ACM AutomotiveUI 2024 Adjunct Proceedings.

Presented our research on personalized in-vehicle infotainment recommendation system at ACM AutomotiveUI 2024 in Stanford, California.

Our article on how automotive head-up display complexity modulates attentional tunneling was published in Human Factors.

Our computational simulation analysis of value-driven attention and associative learning models was published in Psychonomic Bulletin & Review.

I earned my M.S. in Behavioral and Cognitive Neuroscience from Korea University and joined Hyundai Motor Group as a Research Engineer.

Our article on exploration for reward information and value-driven attentional capture was published in the Journal of Experimental Psychology: Learning, Memory, and Cognition.

Presented research on reward predictiveness and uncertainty at the 63rd Annual Meeting of the Psychonomic Society in Boston.

Presented research on automotive head-up display (HUD) complexity and attentional tunneling at AHFE 2022.

Presented two studies at the Korean Society of Cognitive and Biological Psychology; our study on the visual complexity of head-up display (HUD) and human attention received an Outstanding Presentation Award.

Presented research on reward information and value-driven attentional capture at the 62nd Annual Meeting of the Psychonomic Society.

Presented research on how reward information entropy and variance modulate human visual attention at the Korean Society of Cognitive and Biological Psychology.