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The Forensic Biometric Analysis of Emotions from Facial Expressions and Physiological Processes from the Heart and Skin
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 […]
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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 […]
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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 […]
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Towards Biometric Assessment of Audience Affect
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 […]
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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. […]
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Using Biometric Data to Assess Affective Response to Media Experiences
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 […]
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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 […]
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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, […]
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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 […]
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Application of Hedonic Dynamics Using Multiple-Sip Temporal-Liking and Facial Expression for Evaluation of a New Beverage
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 […]
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