Use of eye-tracking system to evaluate selective attention in Children with motor difficulties.
Abstract
This study aimed to use the Eye Tracking System to assess selective attention. Researchers applied the Margarita's Test in a pilot study with a non-probabilistic convenience sample (N=30). Participants were schoolchildren aged 8 (15 males and 15 females). The measurement instruments used were the Margarita's and the Tobii Glasses 2 eye-tracking system. The results showed that 37.11% of correct responses were obtained if the first fixation coincided with the motor response. When analyzing the last fixation, the coincidence of fixations and motor response reached 81.3%, of which 77.2 % were correct. These results suggest that the use of the eye-tracking technology, jointly with the Margarita's test, has the potential to evaluate selective attention in children with motor difficulties.
Keywords: The Margarita Test, selective attention, eye tracking, motor disability.
DOI: 10.54941/ahfe1003023
Cite this paper
More from this volume
- Applying Smart Assistants in Express Decision for Insurance Choices
- Application of Systemic Structural Activity Theory to Web Design
- Self-Regulation Problem Solving for Sufficient Risk Reduction
- Probabilistic predictive modeling in the critical human-in-the-loop (HITL) ergonomics engineering problems
- Validity and rationality of using neuroergonomics concept in exploring worker mental issues in systemic-activity theoretical research
- The contribution of Gregory Bedny's systemic-structural activity theory to the science of activity
- Limitations on the use of eye-tracking data to understand operator awareness
- Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments
- Multimodal Learnability Assessment of a Touch-based Large Area Display with Eye Tracking and Optical Brain Imaging
- Guidelines for Artificial Intelligence in Air Traffic Management: a contribution to EASA strategy
- Multimodal characterization of mental fatigue on professional drivers
- Teamwork objective assessment through neurophysiological data analysis: a preliminary multimodal data validation


AHFE Open Access