Inability to regulate affective states can impact one’s capacity to engage in higher-order thinking like scientific reasoning with game-based learning environments. Many efforts have been made to build affect-aware systems to mitigate the potentially detrimental effects of negative affect. Yet, gaps in research exist since accurately capturing and modeling affect as a state that changes […]

The results of an experiment to measure cognitive load using arithmetic and graphical tasks and galvanic skin response (GSR) biometric technique are presented in this paper. 62 volunteers were recruited to take part in a laboratory experiment conducted with the integrated iMotions biometric platform. Data were collected using observations, Single Ease Question (SEQ) and NASA […]

Interests in artificial intelligence (AI) adoption have increased in many organizations. Medical providers are seeking collaborations with technology companies to provide a reliable mental healthcare service for patients. While the interest in adopting an AI-powered healthcare solution is high, it is still unclear on patients’ attitude towards adopting AI for their mental health care. Three […]

Instructional Manipulation Checks (IMCs) are intended to detect inattention, a common occurrence in survey responding. We use eye tracking to empirically assess the attention that survey respondents dedicate to a short and a long IMC. We find that all 21 respondents pass the short IMC. In contrast, six respondents fail the long IMC. Our eye-tracking […]

Considering the negative impact dyslexia has on school achievements, dyslexia diagnosis and treatment are found to be of great importance. In this paper, a deep convolutional neural network was developed to detect dyslexia in children ages 7-13, based on gathered eye tracking data. The children read a text written in Serbian on 13 different color […]

Although the driver’s emotion has been studied in the different driving environments (such as city and highway), understanding what eye metrics and facial expressions correspond to specific emotion and behavior based on subjective and biosensor data to study emotion in depth is not well researched in previous studies. Using an eye-integrated human-in-the-loop (HTIL) simulation experiment, […]

This study aimed to evaluate the influence of origin information on Pinot Noir wine labels using eye-tracking and its associations with purchase intent, and hedonic and subconscious emotional responses. Two studies were carried out on untrained university staff and students aged 20–60 years old. Study 1 was conducted to assess consumers’ (n = 55; 55% males, […]

This study investigated preservice teachers’ emotional experiences while interacting within a virtual scenario-based teacher-training system called Simulation for Teaching Enhancement of Authentic Classroom behavior Emulator (SimTEACHER). We created three types of interactions (no interaction, unexpected interaction, and expected interaction) within SimTEACHER and examined the influences of the interaction design on preservice teachers’ emotional responses in […]

Objective To report on the use of an eye-tracking retrospective think-aloud for usability evaluation and to describe its application in assessing the usability of a mobile health app. Materials and Methods We used an eye-tracking retrospective think-aloud to evaluate the usability of a HIV prevention mobile app among 20 young men (15-18 years) in New […]

In two studies, we evaluated the trust and usefulness of automated compared to manual parking using an experimental paradigm and by surveying owners of vehicles with automated parking features. In Study 1, we compared participants’ ability to manually park a Tesla Model X and use the Autopark feature to complete perpendicular and parallel parking maneuvers. […]