## 7 Conclusions  
This research investigated the effect of workplace stressors on workers' near-miss recognition performance. The results show that inducing mental stress through mental loading tasks and auditory stress through high-frequency noise sensory loading affected participants' recognition performance and decision-making toward near-miss identification. Such stressors influenced participants' cognitive process by increasing the requirement for limited cognitive resources and reducing their recognition performance. Participants' visual attention measured by fixation duration showed statistically significant differences across all stressor conditions, including the significance that there was a reduction in mean fixation duration for mental (26.64%) and auditory (46.71%) stressor conditions compared to baseline (non-stress) conditions. Meanwhile, adaptation level measurement by time to first fixation was statistically significant only for mental stress conditions, with a reduction of 32.70% compared to the baseline. Therefore, stressor conditions negatively influence participants' visual attention towards fatal four near-miss incidents and positively affect their adaptability level towards near-miss target areas. Such results show how induced stress from workplace stressors can modulate workers' recognition performance toward near-miss identification and affect their decision-making process. The study further analyzed the effect of stressor conditions on near-miss recognition performance using two psychophysiological parameters (EDR-phasic component of EDA and heart rate) and eye-tracking fixation matrices. A combination of psychophysiological responses and fixation-derived matrices provides insights into how workplace stressors can negatively impact workers' visual attention and decision-making during the near-miss identification process. The experiment presents how mental and auditory stress can influence individuals' recognition ability and psychophysiological responses. Based on the results, mental stressors have a higher impact on workers' cognitive processes, increasing their risk-taking behavior. Additionally, correlation analysis was conducted to examine the statistical relationship among personality traits, psychophysiological parameters, and eye-tracking matrices. First, extraversion and neuroticism are statistically correlated to psychophysiological indicators. Conscientiousness and openness are correlated to eye-tracking matrices. This study contributes to the body of knowledge by providing empirical evidence that workplace stressors like mental and auditory stress can significantly influence workers' near-miss recognition performance and decision-making process. Safety experts and workforce management can benefit from personality traits measurement as they correlate with response variables. The personality traits that have a positive relationship with psychophysiological response parameters can be used to reallocate workers who can be drastically affected by stress conditions, reducing their exposure to risky behavior. In terms of practical contributions, this study enhances our understanding of the influence of workplace stressor conditions on workers' near-miss recognition performance and decision-making process. Furthermore, the reliability of psychophysiological parameters using wearable technologies to detect the presence of stressor conditions on the job site can be used to alert workers for reinforced caution. This can supplement the development of a human-centric stress detection model. Additionally, personality traits having a negative statistical relationship with fixation-derived matrices can be used to create personalized safety training for workers with lower recognition ability. Despite the findings presented in this study, some limitations remain to be acknowledged. First, using eye-tracking technology, the current study utilized static stimuli to measure near-miss recognition performance.