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Brand Visual Eclipse (BVE): When the Brand Fixation Spent is Minimal in Relation to the Celebrity
Abstract: This study investigates overshadowing effect of a celebrity. A term brand visual eclipse (BVE) is coined, the BVE occurs when brand fixation spent is minimal of the celebrity fixation spent. High BVE occurs when brand receive less than or equal to twenty percent fixation spent of the celebrity; moderate BVE occurs when the brand […]
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The effect of food anticipation on cognitive function: An eye tracking study
Abstract: By randomizing the order in which participants perform a cognitive test and a food choice task in a controlled experiment, we investigate whether cognitive capacity can be enhanced by the simple act of anticipating food intake. Our findings show that overweight and obese participants exhibit an anticipatory food reward effect, which helped enhance their […]
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Effect of Feedback on Users’ Immediate Emotions: Analysis of Facial Expressions during a Simulated Target Detection Task
Abstract: Safety-critical systems (e.g., UAV systems) often incorporate warning modules that alert users regarding imminent hazards (e.g., system failures). However, these warning systems are often not perfect, and trigger false alarms, which can lead to negative emotions and affect subsequent system usage. Although various feedback mechanisms have been studied in the past to counter the […]
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Predicting Learners’ Performance Using EEG and Eye Tracking Features
Abstract: In this paper, we aim to predict students’ learning performance by combining two-modality sensing variables, namely eye tracking that monitors learners’ eye movements and electroencephalography (EEG) that measures learners’ cerebral activity. Our long-term goal is to use both data to provide appropriate adaptive assistance for students to enhance their learning experience and optimize their […]
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The Importance of Trust for Interface Quality and Acceptance
Abstract: As digital interfaces become common for their development and to offer a sustainable bridge between devices and users, trust in the interface is essential. In this paper we undertake a multi-method research to show from experiment results various dimensions of trust. The results confirm that trust is indeed necessary by so if raising and […]
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Emotion recognition from posed and spontaneous dynamic expressions: Human observers vs. machine analysis
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
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
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
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
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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