Datasets: Eye tracking to explore attendance in health-state descriptions
Selivanova, A. (Creator), Krabbe, P. (Creator), University of Groningen, 28-Nov-2017
Eye tracking was used to study the eye movements and fixations on specific information areas. This was done for seven DC response tasks comprising health-state descriptions. A sample of 10 respondents participated in the study. Videos of their eye movements were recorded and are presented graphically. Frequencies were computed for length of fixation and number of fixations, so differences in attendance were demonstrated for particular attributes in the tasks.
The data is produced by the software Gazepoint and stored in the Gazepoint format. The relevant data underlying the graphs can be provided as simple Excel file, or SigmaPlot Graph.
For full reproducibility the data of participants’ eye-movements, the data being held in Gazepoint format is required. However, due to anonymity of participants the videos are not provided. The eye-movements of the respondents were recorded using specific software Gazepoint. Therefore, for getting the full data, it will be needed to install the Gazepoint Analysis software and access the underlying data from the authors
|Date made available||28-Nov-2017|
|Publisher||University of Groningen|
|Temporal coverage||May-2016 - Jun-2016|
|Geographical coverage||The Netherlands|
|Access to the dataset||Restricted|
- Medicine and Health Sciences, Eye Movement, Eyes, Fatigue, Cognition, Decision making, Attention
Keywords on Datasets
- Krabbe, P. F. M., 5-Jan-2018, In : PLoS ONE. 13, 1, 14 p., 0190111.
Research output: Contribution to journal › Article › Academic › peer-review