The research presented in this paper aimed to study the effects of arithmetic and memory tasks (with two levels of difficulty: easy and hard) on human cognitive load using biometric eye tracking techniques. The experiment was conducted with thirty-one participants using iMotions’ integrated biometric platform. In addition to the eye tracking technique, data was also […]

Social anxiety disorder (SAD) has an early onset, a high lifetime prevalence, and may be a risk factor for developing other mental disorders. Gaze behaviour is considered an aberrant feature of SAD. Eye-tracking, a novel technology device, enables recording eye movements in real time, making it a direct and objective measure of gaze behaviour. Virtual […]

In 2019, the Food and Drug Administration introduced 11 pictorial warning labels (PWLs) for inclusion on cigarette packages, created in compliance with court recommendations and tailored to increase knowledge of smoking harms. Several highlighted lesser-known risks of smoking. No behavioral studies have yet evaluated how risk content in PWLs impacts viewing patterns, recall, and knowledge […]

User experience evaluation is becoming increasingly important, and so is emotion recognition. Recognizing users’ emotions based on their interactions alone would not be intrusive to users and can be implemented in many applications. This is still an area of active research and requires data containing both the user interactions and the corresponding emotions. Currently, there […]

Background Observational and declarative approaches applied by human observers have dominated the study of emotions, engagement, and attention. However, these approaches are susceptible to biases such as social desirability. Additionally, declarative approach cannot measure these parameters in real-time. Purpose This study aims to apply Facial Emotion Recognition (FER) technology in an inquiry-based activity to address […]

Abstract Complex traffic areas and high cognitive workload while driving are leading contributors to traffic crashes. Even though cognitive workload and stress have been previously assessed through various neurophysiological responses, they are rarely characterized simultaneously, limiting the triangulation of behavioral metrics (like drivers’ visual attention and facial coding) with physiological measures to investigate their interplay. […]

Pain research is often focused on escape from pain or approach of relief, yet individuals with chronic pain make complex choices to face their pain to satiate other drives (approach-avoidance conflicts). An abundance of research has indicated that prefrontal alpha band asymmetry (PFA) underlies approach-avoidance in general, but there is limited information about whether PFA […]

The use of neuroimaging to predict individual and population-wide behaviors, also known as neuroforecasting, was long applied to estimate movie popularity. Only recently, EEG-based neural synchronization, which is indicative of engagement, was found as a valid predictor of the listening behavior of the population. However, the population’s evaluative responses to the songs were not incorporated. […]

The paper aims to demonstrate the interconnectedness of filmmaking techniques and iterative software design methods during the creation of interactive 360-degree Virtual Reality (VR) scenarios. These scenarios, which were designed to treat social anxiety disorder (SAD), comprised of six distinct simulations. To track patients’ biodata, biosensors were integrated with the developed scenarios. In the paper, […]

The COVID-19 pandemic altered daily life by forcing governments to issue measures for the prevention of the spread of the disease such as stay-at-home orders, requiring face coverings, and maintaining physical distancing, among others. This caused a significant disruption in every aspect of people’s lives. This disruption was prominent in the transportation sector where travel […]