Yunyoung Nam
Biographic Data
| ID | 7146004 |
|---|---|
| NAME | Yunyoung Nam |
| GIVEN NAMES | Yunyoung |
| FAMILY NAME | Nam |
| SIGNATURE | NAM Y |
| AFFILIATIONS | Soonchunhyang University |
| ORCID | 0000-0002-3318-9394 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Preliminary Study on Comparative Eye Tracking Analysis Using a Meta Quest Pro
The eye and facial tracking technology incorporated in the Meta Quest Pro plays a significant role in research exploring visual attention, cognitive processes, user interaction, and human behavior analysis. However, differences in eye anatomy, such as Outer canthal distance (OCD), Interpupillary distance (IPD), and Intercanthal distance (ICD), may impact the accuracy & reliability of eye movement data. This preliminary study aims to evaluate the …
Effects of Personalized Cognitive Training with the Machine Learning Algorithm on Neural Efficiency in Healthy Younger Adults
To date, neural efficiency, an ability to economically utilize mental resources, has not been investigated after cognitive training. The purpose of this study was to provide customized cognitive training and confirm its effect on neural efficiency by investigating prefrontal cortex (PFC) activity using functional near-infrared spectroscopy (fNIRS). Before training, a prediction algorithm based on the PFC activity with logistic regression was used…
No prominent works on this page.
A Preliminary Study on Comparative Eye Tracking Analysis Using a Meta Quest Pro
The eye and facial tracking technology incorporated in the Meta Quest Pro plays a significant role in research exploring visual attention, cognitive processes, user interaction, and human behavior analysis. However, differences in eye anatomy, such as Outer canthal distance (OCD), Interpupillary distance (IPD), and Intercanthal distance (ICD), may impact the accuracy & reliability of eye movement data. This preliminary study aims to evaluate the …
Effects of Personalized Cognitive Training with the Machine Learning Algorithm on Neural Efficiency in Healthy Younger Adults
To date, neural efficiency, an ability to economically utilize mental resources, has not been investigated after cognitive training. The purpose of this study was to provide customized cognitive training and confirm its effect on neural efficiency by investigating prefrontal cortex (PFC) activity using functional near-infrared spectroscopy (fNIRS). Before training, a prediction algorithm based on the PFC activity with logistic regression was used…
Cognition (2 works) · Audiology (1 work) · Blood Pressure and Hypertension Studies (1 work) · Cognitive Training (1 work) · Computer Science (1 work) · Consistency (knowledge bases (1 work) · Effects of sleep deprivation on cognitive performance (1 work) · Executive functions (1 work) · Eye movement (1 work) · Eye tracking (1 work)