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  • Detecting Student Emotions in Computer-Enabled Classrooms

    GatedPeer-Reviewed09/07/2016

    Abstract: Affect detection is a key component of intelligent educational interfaces that can respond to the affective states of students. We use computer vision, learning analytics, and machine learning to detect students’ affect in the real-world environment of a school computer lab that contained as many as thirty students at a time. Students moved around, […]

  • A Quantitative Way for Measuring the Building User Design Feedback and Evaluation

    Open AccessPeer-Reviewed01/07/2016Pennsylvania State University + 2

    Computers are not smart enough yet to design and thus alleviate the need for a designer, although they can offer various possibilities of assistant to the designer. Various learning techniques provided in machine learning and artificial intelligence, such as dynamic programming and reinforcement learning, are making computers smarter at so many of the tasks humans […]

  • The Forensic Biometric Analysis of Emotions from Facial Expressions and Physiological Processes from the Heart and Skin

    Open AccessPeer-Reviewed29/06/2016University of Windsor

    Abstract: Decision-making, perception, memory and social interactions are greatly driven by emotion. Emotions can be measured from facial expressions through the facial muscles. A group of four students were exposed to emotionally loaded stimuli (videos and images) in its full complexity to assess the valence of the emotional expression, the associated arousal, skin respiration and […]

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

    Open AccessPeer-Reviewed28/06/2016

    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

    GatedPeer-Reviewed21/06/2016MediaScience + 2

    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 […]

  • Towards Biometric Assessment of Audience Affect

    GatedPeer-Reviewed17/06/2016

    Abstract: This paper investigates how reliable affective responses can be obtained using objective biometric measures for media audience research. We use Galvanic Skin Response (GSR) to detect sixteen respondents’ arousal levels and as an objective measure to show how self-reporting disrupts the experience of respondents watching video content. The subjective experiences from nine subjects were […]

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

    GatedPeer-Reviewed11/06/2016

    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. […]

  • Using Biometric Data to Assess Affective Response to Media Experiences

    GatedPeer-Reviewed03/06/2016

    Abstract: The purpose of this work is to investigate a method of measuring emotional experience by interrupting video content every three minutes to self-report. We let 16 test participants watch the short-film Helium divided into a control group and an intervention group. The subjective experiences from nine subjects (the intervention group) were captured by self-reporting […]

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

    GatedPeer-Reviewed02/06/2016

    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

    Open AccessPeer-Reviewed01/06/2016

    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, […]

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