Mouse-Tracking A Practical Guide to Implementation and Analysis
| Authors |
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| Publication date | 2019 |
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| Book title | A Handbook of Process Tracing Methods |
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| ISBN (electronic) |
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| Series | The Society for Judgment and Decision Making Series |
| Edition | 2nd |
| Pages (from-to) | 111-130 |
| Publisher | New York: Routledge |
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| Abstract |
This chapter provides an introduction to the collection, analysis, and visualization of mouse-tracking data using free, open-source software. It shows how to create mouse-tracking experiments using the graphical experiment builder OpenSesame in combination with the mousetrap plugin. The chapter demonstrates how a mouse-tracking experiment can be created in OpenSesame. The mouse sensitivity settings cannot be adjusted directly within OpenSesame, but need to be set in the computer’s system preferences. The mousetrap R package represents mouse-tracking data in a specialized data structure, a mousetrap data object. This allows the package to store and process mouse trajectories efficiently, and to link them to other information collected during the study. In addition to curvature, mouse-tracking studies have also used the complexity of the movement as an indicator of response competition. In mouse-tracking studies, participants’ cursor movements are recorded as they choose between different options represented as buttons on a computer screen.
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| Document type | Conference contribution |
| Note | With supplementary file. |
| Language | English |
| Published at | https://doi.org/10.31234/osf.io/zuvqa https://doi.org/10.4324/9781315160559-9 |
| Downloads |
Kieslich et al. (in press)_final
(Accepted author manuscript)
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