AI Article Synopsis
- The study assesses the effectiveness of EEG power indices in measuring visual fatigue compared to traditional methods like critical-flicker fusion, near-point accommodation, and subjective ratings.
- Participants were 20 young men who played a car-racing video game during the experiment.
- Results showed that EEG measures were more sensitive and effective for tracking visual fatigue, with EEG beta and alpha being the most reliable indexes for different task durations.
Article Abstract
Electroencephalography (EEG) is widely used in cognitive and behavioral research. This study evaluates the effectiveness of using the EEG power index to measure visual fatigue. Three common visual fatigue measures, critical-flicker fusion (CFF), near-point accommodation (NPA), and subjective eye-fatigue rating, were used for comparison. The study participants were 20 men with a mean age of 20.4 yr. (SD = 1.5). The experimental task was a car-racing video game. Results indicated that the EEG power indices were valid as a visual fatigue measure and the sensitivity of the objective measures (CFF and EEG power index) was higher than the subjective measure. The EEG beta and EEG alpha were effective for measuring visual fatigue in short- and long-duration tasks, respectively. EEG beta/alpha were the most effective power indexes for the visual fatigue measure.
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| http://dx.doi.org/10.2466/29.15.24.PMS.116.1.235-252 | DOI Listing |
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