Impact of AI-generated characters on visual attention and prefrontal cognitive responses across age and image type conditions: using fNIRS and eye-tracking

= 0.006). Age conditions and image type conditions significantly affected visual attention and prefrontal cognitive responses. This suggests that visual stimuli influence not only simple preference but also users' emotional response and broader cognitive processing. Furthermore, this study's integrated approach, combining an eye-tracker and fNIRS, can provide practical evidence for user experience-based AI content and interface design.

Authors

Institutions

Publication Details

Journal
Frontiers in Human Neuroscience
Published
2026-04-13
DOI
https://doi.org/10.3389/fnhum.2026.1723608
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of AI-generated characters on visual attention and prefrontal cognitive responses across age and image type conditions: using fNIRS and eye-tracking

Nakyung Lee, Seongdae Kim, Jaechang Cha
Frontiers in Human Neuroscience
Gaze Tracking and Assistive Technology
article

Impact of AI-generated characters on visual attention and prefrontal cognitive responses across age and image type conditions: using fNIRS and eye-tracking

Nakyung Lee, Seongdae Kim, Jaechang Cha
article en

Abstract

= 0.006). Age conditions and image type conditions significantly affected visual attention and prefrontal cognitive responses. This suggests that visual stimuli influence not only simple preference but also users' emotional response and broader cognitive processing. Furthermore, this study's integrated approach, combining an eye-tracker and fNIRS, can provide practical evidence for user experience-based AI content and interface design.

Frontiers in Human NeuroscienceVol. 20
Sejong University (KR), Convergence (US), Hong Kong Metropolitan University (HK), Hongik University (KR)
Hongik University
Quality Education
Openalex Percentile: Top 30%
Gaze Tracking and Assistive Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of AI-generated characters on visual attention and prefrontal cognitive responses across age and image type conditions: using fNIRS and eye-tracking — Nakyung Lee, Seongdae Kim, et al. · Frontiers in Human Neuroscience (2026) | TGRS Research Map | TGRS