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TittaLSL: A toolbox for creating networked eye-tracking experiments in Python and MATLAB with Tobii eye trackers.

Diederick C Niehorster1,2, Marcus Nyström3

  • 1Lund University Humanities Lab, Lund University, Lund, Sweden. diederick_c.niehorster@humlab.lu.se.

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|June 4, 2025
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Summary
This summary is machine-generated.

Researchers can now easily conduct networked multi-participant eye-tracking studies using TittaLSL. This toolbox minimizes programming effort and achieves low latency for real-time gaze data streaming, making complex experiments more accessible.

Keywords:
Eye trackingHyperscanningJoint attentionLab streaming layerMultiple participantsNetworkTobiiToolbox

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Networked eye-tracking studies are gaining traction.
  • Existing solutions for streaming gaze data are complex and require significant programming.
  • A need exists for simplified tools to facilitate multi-participant networked eye-tracking.

Purpose of the Study:

  • To introduce TittaLSL, a toolbox for networked multi-participant eye-tracking experiments.
  • To enable researchers to use Tobii eye trackers in networked setups with minimal programming.
  • To evaluate the performance and latency of the TittaLSL toolbox.

Main Methods:

  • Developed TittaLSL toolbox for streaming gaze data over a local network.
  • Utilized Tobii eye trackers for data acquisition.
  • Evaluated latency using 600-Hz gaze streams across 15 networked eye-tracking stations.

Main Results:

  • TittaLSL enables networked multi-participant experiments with minimal programming.
  • Achieved an end-to-end latency of 3.05 ms for streamed gaze data.
  • Latency was only 0.10 ms higher than local connections, suitable for real-time applications.

Conclusions:

  • TittaLSL significantly simplifies the creation of networked multi-participant eye-tracking studies.
  • The low latency of TittaLSL supports real-time gaze visualization and analysis.
  • This toolbox is a valuable resource for researchers in various fields utilizing eye-tracking technology.