Temporal dynamics of eye-tracking and EEG during reading and relevance decisions
| Autor: | Shouyi Wang, Rahilsadat Hosseini, Michael J. Cole, Jacek Gwizdka |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Information Systems and Management
medicine.diagnostic_test Computer Networks and Communications Brain activity and meditation media_common.quotation_subject Speech recognition 05 social sciences Eye movement Cognition Library and Information Sciences Electroencephalography Task (project management) 03 medical and health sciences 0302 clinical medicine Reading (process) medicine Eye tracking Relevance (information retrieval) 0509 other social sciences 050904 information & library sciences Psychology 030217 neurology & neurosurgery Information Systems Cognitive psychology media_common |
| Zdroj: | Journal of the Association for Information Science and Technology. 68:2299-2312 |
| ISSN: | 2330-1635 |
| Popis: | Assessment of text relevance is an important aspect of human–information interaction. For many search sessions it is essential to achieving the task goal. This work investigates text relevance decision dynamics in a question-answering task by direct measurement of eye movement using eye-tracking and brain activity using electroencephalography EEG. The EEG measurements are correlated with the user's goal-directed attention allocation revealed by their eye movements. In a within-subject lab experiment (N = 24), participants read short news stories of varied relevance. Eye movement and EEG features were calculated in three epochs of reading each news story (early, middle, final) and for periods where relevant words were read. Perceived relevance classification models were learned for each epoch. The results show reading epochs where relevant words were processed could be distinguished from other epochs. The classification models show increasing divergence in processing relevant vs. irrelevant documents after the initial epoch. This suggests differences in cognitive processes used to assess texts of varied relevance levels and provides evidence for the potential to detect these differences in information search sessions using eye tracking and EEG. |
| Databáze: | OpenAIRE |
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