Webcam Eye Tracking
Eye tracking technology offers valuable insights into the cognitive processes of learners in computer programming education. This research presents a novel framework called the Learner Stimulus Intent that offers useful insights into learners’ cognitive processes in computer programming education and Read More …
Humans spend on average 6.5 hours a day online. A large portion of that time is dedicated to information-seeking. How does this activity impact mental health? We assess this over four studies (n = 1,145). We reveal that the valence of information sought Read More …
Accurate medical image diagnosis is essential in clinical practice and places high demands on the diagnostic skills of imaging professionals. However, a significant shortage of radiologists highlights the gap between supply and demand, leading to the importance of education. Traditional Read More …
This paper presents a novel webcam-based approach for gaze estimation on computer screens. Utilizing appearance based gaze estimation models, the system provides a method for mapping the gaze vector from the user’s perspective onto the computer screen. Notably, it determines Read More …
The increasing popularity of neuromarketing has led to the emergence of various measurement methods, such as webcam-based eye-tracking technology. Webcam-based eye-tracking technology is noteworthy not only for its use in laboratories but also for its ability to be applied to Read More …
Building the Internet of Behaviors (IOB) obviously requires capturing human behavior. Sensor input from eye tracking has been widely used for profiling in market research, adaptive user interfaces, and other smart systems, but requires dedicated hardware. The wide spread of Read More …
Working memory involves the temporary retention of information over short periods. It is a critical cognitive function that enables humans to perform various online processing tasks, such as dialing a phone number, recalling misplaced items’ locations, or navigating through a Read More …
Existing gaze-based methods for user identification either require special-purpose visual stimuli or artificial gaze behavior. Here, we explore how users can be differentiated by analyzing natural gaze behavior while freely looking at images. Our approach is based on the observation Read More …
Social robots are increasingly becoming part of our society. In this sense, such robots’ interaction capabilities depend largely on their ability to detect and respond to stimuli in their environment as humans would. This paper describes a bio-inspired exogenous attention-based Read More …
Student simulation supports educators to improve teaching by interacting with virtual students. However, most existing approaches ignore the modulation effects of course materials because of two challenges: the lack of datasets with granularly annotated course materials, and the limitation of Read More …