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Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Abstract: Analyzing human multimodal language is an emerging area of research in NLP. Intrinsically human communication is multimodal (heterogeneous), temporal and asynchronous; it consists of the language (words), visual (expressions), and acoustic (paralinguistic) modalities all in the form of asynchronous coordinated sequences. From a resource perspective, there is a genuine need for large scale datasets that […]
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Automated Pain Detection in Facial Videos of Children using Human-Assisted Transfer Learning
Abstract: Accurately determining pain levels in children is difficult, even for trained professionals and parents. Facial activity provides sensitive and specific information about pain, and computer vision algorithms have been developed to automatically detect Facial Action Units (AUs) defined by the Facial Action Coding System (FACS). Our prior work utilized information from computer vision, i.e. […]
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Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning
Abstract: Metacomprehension is key to successful learning of complex topics when using multimedia materials. The goal of this study was to determine if eye-movement dyads could be: (1) identified by sequence mining techniques, and (2) aligned with self-reported metacognitive judgments during learning with multimedia materials that contain conceptual discrepancies designed to interfere with participants’ metacomprehension. Thirty-two […]
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The Effects of Designers Contextual Experience on the Ideation Process and Design Outcomes
Abstract: Personal context-specific experience can affect how a designer evaluates a design problem and proposes solutions. However, this effect was seldom discovered in a quantitative manner in problem-solving design tasks. This paper uses empirical evidence and quantitative methods to show the effects of novice designers’ contextual experience on design tasks, particularly as it relates to […]
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Galvanic Skin Response as a Simple Physiology Lab Teaching Tool- An Alternative Indicator of Sympathetic Arousal
Background: Sympathetic arousal response due to rewarding emotion may not be considered threat to the well-being but such arousal response evoked by fear or punishment can be stressful. When such changes are recorded in lab as biological signals, induced with appropriate stimulus, the observed response may serve as a good indicator of homeostatic alteration. In […]
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Impact of Learner-Centered Affective Dynamics on Metacognitive Judgements and Performance in Advanced Learning Technologies
Affect and metacognition play a central role in learning. We examine the relationships between students’ affective state dynamics, metacognitive judgments, and performance during learning with MetaTutorIVH, an advanced learning technology for human biology education. Student emotions were tracked using facial expression recognition embedded within MetaTutorIVH and transitions between emotions theorized to be important to learning […]
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Comparative Study of Laptops and Touch-Screen PCs for Searching on the Web
Abstract: This study compares the use of a laptop versus a touch-screen PC to perform web-based information search tasks. Thirty-six participants took part in a lab-based experiment. They were asked to use either a laptop or a touch-screen PC to seek information on the web and retrieve relevant pieces of information while their sessions were […]
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A Test of the Rapid Formation of Design Cues for Product Body Shapes and Features
Abstract: Consumers often use a product’s visual design as a mental shortcut to judge its unobservable attributes. Mental associations between visual design and unobservable attributes aid consumers in their judgments, and hypothetically reduce consumers’ mental load. This paper describes a study that shows the possibility of quickly creating an association in subjects’ minds between a […]
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Exploring Preservice Teachers’ Emotional Experiences in an Immersive Virtual Teaching Simulation through Facial Expression Recognition
This study investigated preservice teachers’ emotional experiences while interacting within a virtual scenario-based teacher-training system called Simulation for Teaching Enhancement of Authentic Classroom behavior Emulator (SimTEACHER). We created three types of interactions (no interaction, unexpected interaction, and expected interaction) within SimTEACHER and examined the influences of the interaction design on preservice teachers’ emotional responses in […]
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How Are Students’ Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs?
Abstract: The goal of this study was to examine 38 undergraduate and graduate students’ note taking and summarizing, and the relationship between emotions, the accuracy of those notes and summaries, and proportional learning gain, during learning with MetaTutor, an ITS that fosters self-regulated learning while learning complex science topics. Results revealed that students expressed both […]
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