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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 (Díaz-Struck, 2018). Furthermore, a 2013 report by McKinsey & Company suggested that such adverse events and associated quality issues cost […]