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  • Predicting User Learning Performance From Eye Movements During Interaction With a Serious Game


    Abstract: This paper explored the relationship between eye movements’ measures and learners’ performance during interaction with Crystal Island, a narrative-centered learning game environment. We gathered gaze data from 20 participants using Tobii Tx300 eye tracker while they were reading books and answering multiple-choices quizzes. Statistical analysis as well as classifications were performed. Random forest classifier […]

  • Unique Object Characteristics Differentially Affect Visual Attention During Viewing of Dynamic Stimuli: The Influence of Location and Luminosity


    Abstract: Understanding which characteristics of dynamic stimuli affect visual attention is crucial to usability research. We explored how object location and object luminosity differentially affect visual attention. Thirty-seven American participants viewed 34 Australian commercials, which were broken down by scene (N = 606) to identify all pertinent Areas of Interest (NAOIs = 2,695). Each AOI […]

  • MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos


    Abstract: People are sharing their opinions, stories and reviews through online video sharing websites every day. Studying sentiment and subjectivity in these opinion videos is experiencing a growing attention from academia and industry. While sentiment analysis has been successful for text, it is an understudied research question for videos and multimedia content. The biggest setbacks […]

  • Automatic Analysis of Eye-Tracking Data for Augmented Reality Applications: A Prospective Outlook


    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. […]

  • The Role of Pedagogical Agents on Learning: Issues and Trends


    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 […]

  • Are Pedagogical Agents’ External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?


    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 […]

  • Planning for the Subconscious


    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, […]

  • Eye-tracking technology, visual preference surveys, and urban design: preliminary evidence of an effective methodology


    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 […]

  • Advanced Driver Monitoring for Assistance System (ADMAS) based on emotions


    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 […]

  • Introducing the wayfaring approach for the development of human experiments in interaction design and engineering design science


    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 […]


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