Abstract: Eye-tracking technology is becoming easier and cheaper to use, resulting in its increasing application to numerous fields of research. Recent years have seen rapid developments in this area. In light of the foregoing, in the context of Cultural Heritage (CH), the definition of a modern approach to understand how individuals perceive art is challenging. […]

Abstract: Research on the effectiveness of Advanced Learning Technologies (ALTs) on ubiquitous learning has suggested that students are often poor at self-regulating their learning (Azevedo, Taub, & Mudrick, 2015), and as a consequence, researchers have implemented Pedagogical Agents (PAs) to help foster students’ use of Cognitive, Affective, Metacognitive, and Motivational (CAMM) Self-Regulated Learning (SRL) processes […]

Abstract: In this study we tested whether external regulation provided by artificial pedagogical agents (PAs) was effective in facilitating learners’ self-regulated learning (SRL) and can therefore foster complex learning with a hypermedia-based intelligent tutoring system. One hundred twenty (N = 120) college students learned about the human circulatory system with MetaTutor during a 2-hour session under one […]

Abstract: The world is entering a new era of cognitive science that allows us to understand human behavior better than ever before. In fact, the Organization for Economic Co-Operation and Development recently labelled the 21st century the “Age of Biology,” noting the growing impacts of the ongoing life-science revolution, which the group predicts will change economies, […]

Abstract: Urban planners and designers use visual preference surveys to gather public opinion on potential designs for developments. Using eye-tracking technology, we administered a visual preference survey to a convenience sample to evaluate quantitatively the ways in which individuals process and rank images used in public settings for urban planning. We combined both a subjective […]

Abstract: This work presents advances in research of emotions recognition by using facial expressions to be used in active security system focused in driver monitoring systems to provide efficient assistance through Advanced Driver Assistance Systems to drivers when poor driving performance is detected; researchers have called to this approach Advanced Driver Monitoring for Assistance Systems […]

Abstract: This paper introduces a wayfaring process, previously deployed at early stage product development projects, in the exploration, design and piloting of experiments. The case example being an interaction experiment in a ship bridge context, targeting stress and affective response. It included a simulation task as primary and a cognitive load task as secondary element […]

Abstract: Suicide is a leading cause of mortality world-wide, accounting for 1.4% of annual deaths. Traditional risk factors, self-report questionnaires, and clinical interviews have limited predictive validity for short-term suicide attempts. Studies using behavioral measures like the Suicide Implicit Association Test (S-IAT) to detect automatic and unconscious preference towards suicide related stimuli have demonstrated unique […]

Abstract: Facial expression recognition has been a highly researched topic in the field of biometrics for decades. It has been used with the intent of both identifying specific individuals, and in understanding human relations and communication. Grouping these expressions into emotions is a subset of this research, which is still new. The focus of this […]

Abstract: Drinking and eating are not a matter of a single sip or bite. Dynamic data gathered from multiple sip or bite, seem to be more reliable than simple sip/bite evaluation. However, methodologies and analyses based on multiple sips/bites have received little attention until recently. The present study tested an innovative approach to measure the […]