Related Experiment Video
Updated: Feb 21, 2026
05:54
Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
Published on: October 18, 2018
6.8K
Data on eye behavior during idea generation and letter-by-letter reading
Sonja Walcher1, Christof Körner1, Mathias Benedek1
1Institute of Psychology, University of Graz, Universitätsplatz 2, 8010 Graz, Austria.
Data in Brief
|October 4, 2017
Summary
This study analyzed eye movements during idea generation and reading tasks in healthy adults. Eye tracking data reveals insights into cognitive processes during creative thinking and reading under varying light conditions.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Factors
Background:
- Understanding cognitive processes like idea generation and reading is crucial.
- Eye movement patterns can provide objective measures of cognitive load and attention.
- Previous research has explored cognitive tasks, but integrating eye-tracking with specific cognitive challenges like the alternate uses task is less common.
Purpose of the Study:
- To describe and provide access to data from an idea generation task (alternate uses task) and a letter-by-letter reading task.
- To investigate eye behavior, specifically pupil and eye vergence dynamics, during these cognitive tasks under different background brightness conditions.
- To make available associated questionnaire data and analysis scripts for reproducibility.
Main Methods:
- Data collection involved healthy adults performing an alternate uses task and a letter-by-letter reading task.
- Two background brightness conditions were employed during the tasks.
- Eye tracking data, task performance metrics, and questionnaire responses (SIPI, DDFS, RIBS) were recorded.
Main Results:
- Eye tracking data, including pupil dynamics and angle of eye vergence, were captured.
- Task performance data and questionnaire data provide additional context for cognitive processes.
- Analysis scripts in R are provided for reproducible research.
Conclusions:
- The dataset offers a valuable resource for studying the interplay between visual attention, cognitive load, and creative thinking.
- Researchers can utilize this data to explore individual differences in cognitive strategies.
- The findings contribute to a deeper understanding of eye behavior during internally focused cognitive activities.
