Mouse-Tracking A Practical Guide to Implementation and Analysis

Open Access
Authors
  • M. Schulte-Mecklenbeck
Publication date 2019
Host editors
  • M. Schulte-Mecklenbeck
  • A. Kühberger
  • J.G. Johnson
Book title A Handbook of Process Tracing Methods
ISBN
  • 9781138064218
  • 9781138064201
ISBN (electronic)
  • 9781315160559
Series The Society for Judgment and Decision Making Series
Edition 2nd
Pages (from-to) 111-130
Publisher New York: Routledge
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
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.
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)
Supplementary materials
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