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 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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2023 Journal of Sustainable Tourism Open Access Peer-Reviewed
Children and overtourism: a cognitive neuroscience experiment to reflect on exposure and behavioural consequences
University of Split + 2 more
As tourism research has paid limited attention to children, this study investigates children’s reactions to tourism development, focusing on their unique viewpoints on the World Heritage Site of Dubrovnik, Croatia. It employed cognitive neuroscience methods with 397 participants, revealing that, despite their preference for sustainable tourism scenarios, children exhibit a notable fixation on images emblematic […]
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2015 Open Access Peer-Reviewed
Dynamic Data Driven Operator Error Early Warning System
Purdue University + 1 more
Abstract: Mitigating human errors is a priority in the design of complex systems, especially through the use of body area networks. This paper describes early developments of a dynamic data driven platform to predict operator error and trigger appropriate intervention before the error happens. Using a two-stage process, data was collected using several sensors (e.g. […]
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2015 Procedia Computer Science Open Access Peer-Reviewed
Dynamic Data Driven Approach for Modeling Human Error
Purdue University + 1 more
Abstract: Mitigating human errors is a priority in the design of complex systems, especially through the use of body area networks. This paper describes early developments of a dynamic data driven platform to predict operator error and trigger appropriate intervention before the error happens. Using a two-stage process, data was collected using several sensors (e.g., […]
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