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  • Emotion recognition from posed and spontaneous dynamic expressions: Human observers vs. machine analysis

    GatedPeer-Reviewed

    Abstract: The majority of research on the judgment of emotion from facial expressions has focused on deliberately posed displays, often sampled from single stimulus sets. Herein, we investigate emotion recognition from posed and spontaneous expressions, comparing classification performance between humans and machine in a cross-corpora investigation. For this, dynamic facial stimuli portraying the six basic […]


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  • Emotional responses to climate change map framing using facial emotion recognition technology

    GatedPeer-Reviewed

    Abstract: The different ways that maps are framed by the media can lead to different emotional responses to the same information. Framing shapes the way in which information is presented, and frames are used by authors and designers to focus the reader’s attention in order to lead them to a particular interpretation of the information […]


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  • A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

    GatedPeer-Reviewed

    Abstract: The aim of this paper is to present PhD research that aims to enhance the User Experience by proposing a framework that combines the three core components of: dynamic interfaces; adaptive interfaces; and intelligent interfaces. Initial research into the field has identified a gap at the intersection of these types of interaction. A dynamic […]


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  • The Speed of Perception: The Effects of Over-Speed Video Training on Pitch Recognition in Collegiate Softball Players

    GatedPeer-Reviewed

    Abstract: During interceptive motor tasks, experts demonstrate distinct visual search behavior (from novices) that is reflective of information extraction from optimal environmental cues, which subsequently aids anticipatory movements. While some forms of visual training have been employed in sport, over-speed video training is rarely applied to perceptual–cognitive sport contexts. The purpose of the present study […]


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  • M-BERT: Injecting Multimodal Information in the BERT Structure

    GatedPeer-Reviewed

    Abstract: Multimodal language analysis is an emerging research area in natural language processing that models language in a multimodal manner. It aims to understand language from the modalities of text, visual, and acoustic by modeling both intra-modal and cross-modal interactions. BERT (Bidirectional Encoder Representations from Transformers) provides strong contextual language representations after training on large-scale […]


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  • Willingness to Pay for Rose Attributes: Helping Provide Consumer Orientation to Breeding Programs

    GatedPeer-Reviewed

    Abstract: Floriculture value exceeds $5.8 billion in the United States. Environmental challenges, market trends, and diseases complicate breeding priorities. To inform breeders’ and geneticists’ research efforts, we set out to gather consumers’ preferences in the form of willingness to pay (WTP) for different rose attributes in a discrete choice experiment. The responses are modeled in […]


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  • A Critical Analysis of FDA Guidance for User Percentile Device Design Criteria Versus Currently Available Human Factors Engineering Data Sources and Industry Best Practices

    GatedPeer-Reviewed

    Abstract: A staggering report was recently released by the International Consortium of Investigative Journalists (ICIJ) indicating that 83,000 deaths and 1.7 million injuries were linked to medical device adverse events reported over the last decade (DĂ­az-Struck, 2018). Furthermore, a 2013 report by McKinsey & Company suggested that such adverse events and associated quality issues cost […]

  • Investigation of the dependency of the drivers’ emotional experience on different road types and driving conditions

    GatedPeer-Reviewed01/08/2019

    Abstract: The growing sophistication of technologies and sociological advances are major causes for the dramatic change the automotive sector is currently undergoing. To address changes from a human-centered design perspective an improved understanding of the occupants’ emotional experience and behavior is required. Facial-Expression Analysis (FEA) is an emerging tool in support of such an approach, […]


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  • Locally Confined Modality Fusion Network with a Global Perspective for Multimodal Human Affective Computing

    GatedPeer-Reviewed

    Abstract: In this paper, we propose a novel multimodal fusion framework, named locally confined modality fusion network (LMFN), that contains a bidirectional multiconnected LSTM (BM-LSTM) to address the multimodal human affective computing problem. Instead of conducting fusion only on a holistic level, we propose a hierarchical fusion strategy that considers both local and global interactions […]


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  • Examining Course Layouts in Blackboard: Using Eye-Tracking to Evaluate Usability in a Learning Management System

    GatedPeer-Reviewed

    Abstract: This paper describes an exploratory usability study designed to investigate how college students locate information in a Learning Management System and to establish a set of guidelines for creating the best course layouts that can increase the student’s learning experience. Using observations, perception survey data, and a high-fidelity eye-tracker that recorded where participants’ eyes […]

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