Estimating Mental Workload of University Students using Eye Parameters
MetadataShow full item record
- Institutt for design 
Estimating mental workload using eye parameters in different fields has become asignificant study focus in the area of research. It is vital to discover the most reliableeye parameter/parameters that can be used to estimate mental workload. Inthis study, N-back tasks with four difficulty levels were designed to induce mentalworkload for a sample of 21 university students at NTNU Gjøvik. 17 eye parameterswere measured using SMI RED250mobile Eye Tracker at a sampling rate of 250 Hz.Analyzed data indicate that peak fixation duration is the most suitable eye parameterto estimate mental workload. It has a negative relationship with the mentalworkload, where higher peak fixation duration can be observed at lower mentalworkload and lower peak fixation duration at higher mental workload. Moreover,blink frequency, blink count, peak blink duration, and pupil diameter show a significantpositive relationship to the mental workload. Most of the saccade parametersfailed to show a significant relationship, while fixation frequency, fixation duration,fixation count, blink duration, saccade velocity, and peak saccade amplitudeshowed a partial relationship with the mental workload.