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Related Experiment Video

Updated: Aug 2, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Semi-Supervised Behavior Labeling Using Multimodal Data during Virtual Teamwork-Based Collaborative Activities.

Abigale Plunk¹, Ashwaq Zaini Amat¹, Mahrukh Tauseef¹

¹Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37240, USA.

Sensors (Basel, Switzerland)

|April 13, 2023

Summary

This summary is machine-generated.

This study introduces a semi-supervised machine learning method for labeling human behavior data in virtual reality teamwork training for individuals with autism spectrum disorder (ASD). The model achieved 81.3% accuracy with minimal manual data, improving training efficiency.

Failed At:

2026-06-19T13:40:04.122912+00:00

Keywords:

automated labeling emotion recognition human-behavior sensing human–machine interaction semi-supervised machine learning

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