Research & Science
Publications
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2026 MDPI Brain Sciences Open Access Peer-Reviewed
Cognitive Behavioral Therapy Reduces Symptom Severity and Normalizes Neurophysiological and Attentional Reactivity in Anorexia Nervosa: A Randomized Controlled Trial
Beykoz University + 2 more
Background: Anorexia nervosa (AN) is a severe psychiatric disorder marked by restrictive eating, distorted body image, and high relapse rates. While cognitive-behavioral therapy (CBT) is a widely used treatment, its mechanisms of action in AN remain incompletely understood, particularly beyond self-reported symptom change. This study investigated the effects of a 12-week CBT intervention on both […]
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2025 Indonesia Journal of Social Sciences Open Access Peer-Reviewed
The ‘Live’ Gaze: A Neuromarketing and Eye-Tracking Analysis of Consumer Attention and Impulse Buying on Shopee Live and TikTok Shop in Indonesia
Enigma Institute + 1 more
Livestream commerce (LSC) has redefined digital retail in Southeast Asia, with Indonesia as its most competitive market. The two dominant platforms, Shopee Live and TikTok Shop, leverage vastly different user interfaces and engagement philosophies—commerce-first versus contentfirst, respectively. However, the precise cognitive and affective mechanisms by which these platforms guide consumer attention and trigger impulse purchases […]
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2025 Journal of Retailing and Consumer Services Gated Peer-Reviewed
Decoding consumer responses to anthropomorphic products using electroencephalography, skin conductance, and eye-tracking
Hubei University
Anthropomorphic product design is often assumed to increase consumer engagement, but its neural mechanisms and boundary conditions remain underexplored. This study employed a multimodal neuroscientific approach—electroencephalography (EEG), galvanic skin response (GSR), and eye-tracking—to examine how anthropomorphized versus non-anthropomorphized products influence consumer responses. Forty-four young adults viewed AI-generated images of beverages, backpacks, and smartphones. While anthropomorphic […]
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2025 IEEE Access Open Access Peer-Reviewed
Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data
Wrocław 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 […]
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2025 Current Psychology Open Access Peer-Reviewed
Processing every bite: A neuroscientific analysis of the eating experience and its cognitive and emotional dynamics
Università IULM
Our eating experiences are largely shaped by brain perceptions rather than the intrinsic qualities of the food itself. Therefore, to provide a comprehensive analysis of these experiences and their impact on our cognitions and emotions, it is essential to assess their neural underpinnings. This research employed a consumer neuroscience approach, integrating neuroscientific techniques with self-report […]
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2025 Mindfulness Open Access Peer-Reviewed
Investigating the Psychophysiological Effects of Tonglen Compassion Meditation in Healthcare Workers
University of Valencia + 2 more
Objectives Compassion is a valuable, trainable skill which can bring significant benefits to oneself and others. One method for developing compassion towards others is Tonglen, a Tibetan Buddhist meditation which involves taking in suffering from others and sending them well-being. The aim of this study was to investigate the psychophysiological outcomes of Tonglen meditation in […]
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2025 IISE Annual Conference & Expo 2025 Open Access Peer-Reviewed
Using Electroencephalography to Understand Learning Engagement with User-Centered Human-Computer Interaction in a Multimodal Online Learning Environment
Montana State University
Multimodal learning environments (MMLA) use visual, auditory, and physical interactions to improve engagement in learning tasks. A recent study by Ma et al. [16] demonstrated how biosensors such as GSR (Galvanic Skin Response), eye tracking, and facial expressions can track emotional and cognitive engagement. Building on that work, we are incorporating EEG (electroencephalography) data, focusing […]
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2025 MDPI Brain Sciences Open Access Peer-Reviewed
Neurophysiological Markers of Design-Induced Cognitive Changes: A Feasibility Study with Consumer-Grade Mobile EEG
Paracelsus Medical University
Background: Evidence-based design aims to create healthy environments grounded in scientific data, yet the influence of spatial qualities on cognitive processes remains underexplored. Advances in neuroscience offer promising tools to address this gap while meeting both scientific and practical demands. Consumer-grade mobile EEG devices are increasingly used; however, their lack of transparency complicates output interpretation. […]
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2025 Journal of Commercial Biotechnology Gated Peer-Reviewed
Application of Instructional Technology Based on Biometric Identification and Artificial Intelligence Technology in Construction of Personalized Learning Paths
Jilin Animation Institute + 2 more
Current research on personalized learning paths based on artificial intelligence (AI) generally has black-box problems. It relies more on learning behavior data and lacks real-time monitoring of learners’ physiological states, leading to delayed personalized adjustments, lack of explainability of decision-making logic, and difficulty in gaining the trust of educators and learners. This paper integrates multimodal […]
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2025 Open Access Peer-Reviewed
Implicit and Explicit Consumer Perceptions of Cashews: A Neuroscientific and Sensory Analysis Approach
Universitat Politècnica de València
This study investigated consumer perceptions of raw cashew nuts from two different private labels (private label A, PLA, and private label B, PLB), employing a combination of explicit (sensory analysis) and implicit (consumer neuroscience) methods. The objective was to analyse both conscious and unconscious responses to understand consumer preferences. Participants (n = 80) evaluated the […]
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