OpenSesame: An open-source, graphical experiment builder for the social sciences

By Sebastiaan Mathôt, Daniel Schreij, Jan Theeuwes. Behavior Research Methods, 2011

2,365 citations recorded by the source corpus.

In the present article, we introduce OpenSesame, a graphical experiment builder for the social sciences. OpenSesame is free, open-source, and cross-platform. It features a comprehensive and intuitive graphical user interface and supports Python scripting for complex tasks. Additional functionality, such as support for eyetrackers, input devices, and video playback, is available through plug-ins. OpenSesame can be used in combination with existing software for creating experiments.

Subfields: Computer Vision and Pattern Recognition, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/dc00a1ca35d154fb7a3e9ea31426b43faa70985c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

  1. Brian J. Piper
  2. Shane T. Mueller
  3. S. van der Stigchel
  4. Edwin S. Dalmaijer
  5. Sebastiaan Mathôt

In Statistics and Probability

  1. Brian J. Piper
  2. Shane T. Mueller
  3. S. van der Stigchel
  4. Edwin S. Dalmaijer
  5. Sebastiaan Mathôt

Citations in the corpus