This package contains the data presented in Niehorster, Santini, Hessels, Hooge, Kasneci & Nyström (2020). The impact of slippage on the data quality of head-worn eye trackers. Behavior Research Methods. doi: 10.3758/s13428-019-01307-0
It also contains the code used for preprocessing the recordings of the different eye-tracking setups, and the analysis code that created the figures in the paper.
To recreate the figures, first run createCache.m. The various figures are then created by the files exampleData.m, validation.m and offsetsAndLoss.m.
The figure comparing 50Hz and 100Hz tobii data is created by running G2Sawtooth.m.
The code and data in this repository are licensed under the Creative Commons Attribution 4.0 (CC BY 4.0) license, unless otherwise stated.
By downloading this data set, you expressly agree to the following conditions of release and acknowledge the following disclaimers issued by the authors:
Data are available by permission of the authors. Use of data in publications, either digital or hardcopy, must be cited as follows:
- Niehorster, D.C., Santini, T., Hessels, R.S., Hooge, I.T.C, Kasneci, E. & Nyström, M. (2020). The impact of slippage on the data quality of head-worn eye trackers. Behavior Research Methods. doi: 10.3758/s13428-019-01307-0
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