Exploring the Role of Visual Attention in Aggressive Behavior: Evidence from Eye-Tracking Measurements
Abstract
This study explores the relationship between eye-tracking measurements (fixation count and duration) and aggressive traits. The research involved 60 female and male participants between 12 and 17 years. The standardized questionnaire used to measure aggressive traits was CAPI-A to assess premeditated and impulsive aggression. The sample was divided into two groups based on aggressive traits' presence (n=30) or absence (n=30). The participants were exposed to a validated subset of the OASIS affective images as visual stimuli, using the Gazepoint GP3 device to capture eye-tracking information. The study found that participants with aggressive traits had higher fixation durations and fixation counts on negative stimuli than non-aggressive participants. These findings suggest that aggressiveness may be related to selective attention towards negative stimuli, which may impede a person's ability to perceive positive stimuli in their environment. This study provides insight into potential underlying mechanisms contributing to aggressive behavior in adolescents.
Keywords: Aggressive Behavior, Eye Tracking, Attentional Patterns, Adolescents, Visual Stimuli, OASIS
DOI: 10.54941/ahfe1003024
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