Skip to main content
. 2022 Apr 6;55(1):364–416. doi: 10.3758/s13428-021-01762-8

Table 7.

Reporting aspects common to all studies. We consider this a strongly recommended list of aspects to report, albeit not exhaustive

1 Details about the eye tracker (manufacturer, type, technique [video-based, EOG, dark pupil/bright pupil, etc.]). For wearable eye trackers, provide details about the scene camera (e.g. sampling frequency, resolution).
2 Sampling frequency, either of eye tracker itself, or for analogue systems the sampling frequency of any AD conversion (or some such). We recommend determining sampling frequency empirically from the recorded signals.
3 A description of the setup and geometry, including details of head stabilization if used.
4 A description of the recording environment.
5 The instruction given to participants.
6 Empirically determined data quality for the analysed eye-tracker signals. For gaze-position signals, this includes at least accuracy, precision and data loss. For pupil-size signals, this includes at least data loss, and we recommend a measure of precision. Also report the software used to calculate these values.
7 An adequate description of the data processing and analysis steps with all relevant parameters. For example, the pupil-size estimation algorithm, velocity determination, event-detection algorithms, AOI analysis.
8 Some of the processing and analysis steps may be hidden in the software or firmware provided by the eye-tracker manufacturer. Thus, it is important to also report firmware and software versions whenever applicable.
9 Exclusion criteria, pre- and post-recording.