Abstract
We develop a reporting guideline for eye-tracking research in the behavioral sciences. To this end, we coded 215 articles on behavioral decision-making published between 2009 and 2017 and extracted a list of reported items. The coded articles were from a broad range of disciplines linked to judgement and decision making, such as cognitive science, marketing, economics, developmental research, vision research, and human–computer interaction. We then had a panel
of eye-tracking experts rate the necessity of each item for reproducing a reported study. From these two sources, we generated a guideline containing 31 items that are judged as 'necessary' by the majority of experts for reproducing an eye-tracking study. None of the 215 coded articles report all identified items and approximately 70 percent of the articles report less than 50 percent of the 'necessary' items. We provide the data and list of recommendations as a hands-on shiny app to allow for an easy adoption of the proposed reporting guideline to improve transparency and reproducibility in eye-tracking research.
of eye-tracking experts rate the necessity of each item for reproducing a reported study. From these two sources, we generated a guideline containing 31 items that are judged as 'necessary' by the majority of experts for reproducing an eye-tracking study. None of the 215 coded articles report all identified items and approximately 70 percent of the articles report less than 50 percent of the 'necessary' items. We provide the data and list of recommendations as a hands-on shiny app to allow for an easy adoption of the proposed reporting guideline to improve transparency and reproducibility in eye-tracking research.
| Originalsprache | Englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 2020 |