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  • ROGER:Visualizing Voice Records to Enhance Team Communication Trainings for High-Stress Situations
    Open AccessPeer-Reviewed01/12/2025AIT Austrian Institute of Technology + 2
    Effective communication is essential in high-stress environments but stress often disrupts the flow of information and leads to miscommunication. While scenario-based training exercises are widely used, post-hoc reflection and analysis of verbal interactions remain challenging due to overlapping speech, limited analysis time, and the dynamic nature of these situations. This paper introduces ROGER, a novel […]

  • The impact of information overload on Gen Z iPhone-user product preferences and visual attention: a biometric approach
    GatedPeer-Reviewed15/10/2025Loyola University Chicago
    Purpose This paper aims to examine the influence of information load and brand familiarity on consumer preferences, attention and cognitive processes in the context of smartphone product decision-making. Design/methodology/approach Using the theoretical lens of bounded rationality, this paper tests a series of hypotheses on the impact of high and low information load and brand familiarity […]

  • Machine Learning Techniques to Improve theCognitive Workload Classification UsingMultimodal Sensors’ Data
    Open AccessPeer-Reviewed10/10/2025Wrocław University of Science and Technology
    Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current techniques, such as multisensor data fusion (e.g. electroencephalogram, heart rate, eye movements, and other physiologicalsignals), suffer from excessive dimensionality, intersubject variability, imbalanced feature vectors, and poor data alignment between sensors. This […]

  • Interictal eye movement alterations in migraine with aura: impact of perceptual and cognitive load during reading
    Open AccessPeer-Reviewed09/10/2025University of Belgrade
    Background Migraine with aura (MwA) is a common neurological disorder often accompanied by visual and cognitive difficulties, including impaired attention and reading. Although previous studies have examined oculomotor function in migraine using specific and highly controlled paradigms, findings have been mixed, and eye movements during more natural tasks like reading remain understudied. The aim of […]

  • GUI Evaluation using Eye Tracking: Optimizing Instructor Station for Night Vision Training in Aviation
    Open AccessPeer-Reviewed06/10/2025Tallinn University
    This paper presents a case study usability evaluation of a graphical user interface (GUI) used in the Virtual Terrain Image Generation System (VTIGS) developed by AMST Systemtechnik GmbH. The GUI is used by instructors to configure night vision training scenarios for pilots using Night Vision Goggles (NVG). However, many instructors are non-aviation professionals. This study […]

  • Gaze Attention Estimation for Medical Environments
    GatedPeer-Reviewed26/09/2025Kyushu Institute of Technology + 3
    Gaze attention estimation is the task that aims to understand where each person is looking in each scene. In this study, we introduce a new annotated dataset that is derived from medical simulation training videos, capturing diverse and authentic clinical scenarios from a practical medical environment and annotated by the ground truth data from eye-tracking […]

  • The Force of Habit: Comparing Graphical User Interfaces of Popular Operating Systems Using Eye-Tracking Analysis
    Open AccessPeer-Reviewed24/09/2025Lublin University of Technology
    Background:. Usability plays an important role in user experience and directly influences users’ satisfaction and overall perception of the IT solution. A combination of subjective and objective evaluation methods can increase the overall usability assessment. Methods: This paper presents a comparative analysis of eye-tracking and survey data that provided a comparison of the graphical user […]

  • Let robots tell stories: Using social robots as storytellers to promote language learning among young children
    Open AccessPeer-Reviewed23/09/2025The Education University of Hong Kong
    Robot-Assisted Language Learning (RALL) has emerged as an innovative method to support children’s language development. However, limited research has examined how its effectiveness is compared to other digital and human-led storytelling approaches, particularly among young learners. This study involved 81 children (M age = 5.58), who were randomly assigned to one of three storyteller conditions: a researcher-developed social […]

  • Disrupting the browsing experience: impact of sponsored social media content on affective flow without driving engagement
    Open AccessPeer-Reviewed02/09/2025Ruhr West University of Applied Sciences + 3
    Introduction: Understanding how emotional experiences shape consumer behavior in digital environments is a central issue in decision-making neuroscience. While social media feeds are saturated with sponsored content, little is known about how such content modulates affective rhythms and influences engagement. Methods: Grounded in decision neuroscience frameworks and affective processing models, this study develops a three-layer analytical model […]

  • Multimodal Analyses and Visual Models for Qualitatively Understanding Digital Reading and Writing Processes
    Open AccessPeer-Reviewed01/09/2025Eastern Kentucky University + 3
    As technology continues to shape how students read and write, digital literacy practices have become increasingly multimodal and complex—posing new challenges for researchers seeking to understand these processes in authentic educational settings. This paper presents three qualitative studies that use multimodal analyses and visual modeling to examine digital reading and writing across age groups, learning […]

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