Mental Workload Classification By Eye Movements In Visual Search Tasks
| Autor: | Ye Deng, Xin Wang, Liping Pang, Yurong Fan, Tianbo Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Eye tracking on the ISS genetic structures Computer science 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pupil diameter Eye movement Workload Audiology Visual search tasks eye diseases 050105 experimental psychology 03 medical and health sciences InformationSystems_MODELSANDPRINCIPLES 0302 clinical medicine Fixation (visual) medicine Eye tracking 0501 psychology and cognitive sciences sense organs 030217 neurology & neurosurgery |
| Zdroj: | CISP-BMEI |
| Popis: | This paper presents a method to objectively evaluate mental workload by analyzing the changes of eye movements characteristics in different visual search tasks. Eye movements data were collected by the eye tracking device called Eye Tracking Core+ while subjects were performing four different visual search tasks produced by NASA's Multi-Attribute Task Battery (MATB) on the screen of computer. By varying the difficulty of visual search tasks, the eye movements were measured to examine whether they could be used to classify the mental workload. As a result, the five indexes (Saccades Amplitude, Saccades Velocity, Fixation Duration, Blink Duration and Pupil Diameter) showed significant differences under low and high workload of visual search tasks. Moreover, with the increase of task workload, Saccades Amplitude, Saccades Velocity, and Blink Duration decreased significantly, while Fixation Duration and Pupil Diameter increased gradually. |
| Databáze: | OpenAIRE |
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