Research & Science
Publications
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2026 Intelligent Computing Gated Peer-Reviewed
Remote Biometric Advertisements Research in Pandemic Times: Is This a Viable Alternative to Laboratory-Based Studies?
Abstract This study explores the feasibility of conducting remote biometric research on video ads as an alternative to laboratory-based studies. It investigates whether this approach can be an effective and manageable testing standard, especially during pandemic conditions. The study focuses on measuring the reception of video ads from prominent technology companies using biometric and declarative […]
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2026 Innovative Policy Making for the Shift to Circular Economy Gated Peer-Reviewed
The Role of Neuroscience in Building Sustainable Brands Within the Circular Economy Framework
Istinye University
This study examines the strategic role of neuroscience in developing strong and sustainable brands through implementing cognitive, emotional and sensory insights into marketing strategies. Based on this, this study focuses as well as investigates how neuromarketing methods such as EEG, fMRI, GSR, eye tracking and facial coding enable the scientific measurement of unconscious consumer responses […]
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2026 arXiv (Cornell University) Open Access Peer-Reviewed
Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles
Multimodal affect and behaviour classifiers that fuse heterogeneous text, audio, and visual streams must simultaneously achieve competitive accuracy and produce human-understandable explanations of the cues driving their decisions — a dual objective that current high-capacity models, notably Transformers, only partially address. While Transformers attain strong predictive performance, their distributed representations and deep nonlinearity make it […]
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2026 Education and Information Technologies Open Access Peer-Reviewed
Adaptive prompting for virtual reality learning: a multimodal study grounded in construal level theory
Tel Aviv University
Abstract As virtual reality (VR) becomes more widely adopted for instructional purposes, research also shows that VR-based learning can be emotionally involving and cognitively demanding, creating a need for instructional supports that respond to learners’ changing cognitive-emotional states. This two-group quasi-experimental quantitative study examined whether adaptively delivered proximity-framed prompts support emotional engagement during VR-based learning. […]
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2026 PLOS One Open Access Peer-Reviewed
Divergence between facial expressions and self-reported emotions: Sex differences in responses to video-based emotional stimuli
Korea Institute of Oriental Medicine + 2 more
Emotional responses involve multiple components, including subjective experience and behavioral expression, which do not always align. Moreover, sex differences in emotional processing appear to vary across emotion types and response modalities. This study investigated sex differences and concordance between self-reported emotional experience and facial expressions elicited by naturalistic emotional video stimuli in a Korean adult […]
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Journal of Experimental Criminology Gated Peer-Reviewed
From fear to punishment: experimental evidence on how point-of-view in short-form crime video shapes punitive attitudes
Louisiana State University
Abstract Objective This study examines how point-of-view (POV) in short-form crime media shapes punitive attitudes and whether this relationship depends on viewers’ emotional responses during exposure. Methods Data come from a randomized laboratory experiment ( N = 60) in which participants viewed crime videos varying in POV (first-, second-, and third-person). Expressed fear was measured […]
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2026 Behaviour and Information Technology Open Access Peer-Reviewed
Legally compliant personalised prioritisation of privacy policy information shows no effect on user engagement, comprehension, or workload
Maastricht University + 3 more
Privacy policies function as both legal documents and information sources for users, but their length and complexity often discourage engagement. In this paper, we investigate whether a personalised approach can address this issue by prioritising information that concerns individual users most while maintaining a policy’s legal compliance on disclosure. We first explored whether personal characteristics […]
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2026 Scientific Reports Open Access Peer-Reviewed
Automatic pain assessment from facial action units in ICU patients via various machine learning models
Peking University + 3 more
Pain represents a critical vital sign monitored in intensive care unit (ICU) patients. The facial action coding system (FACS) defines facial action units (AUs) and provides a structured framework for pain recognition. Currently, the most broadly used pain assessment method is the pain intensity scale developed by Prkachin and Solomon (PSPI), which relies on predefined […]
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2026 Scientific Reports Open Access Peer-Reviewed
Understanding attenuated positive facial expression in depressed women: central role of dorsal raphe network alterations and associated serotonin transporter methylation
Abstract Anhedonia and loss of pleasure are core features of major depressive disorder, yet their neurobiological basis remains unclear. We examined dynamic facial responses to naturalistic emotional video stimuli in women with major depressive disorder and healthy controls using automated facial expression analysis. Functional MRI combined with tensor-independent component analysis identified brain networks associated with […]
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2026 Scientific Reports Open Access Peer-Reviewed
Understanding attenuated positive facial expression in depressed women: central role of dorsal raphe network alterations and associated serotonin transporter methylation
Korea Institute of Oriental Medicine + 3 more
Anhedonia and loss of pleasure are core features of major depressive disorder, yet their neurobiological basis remains unclear. We examined dynamic facial responses to naturalistic emotional video stimuli in women with major depressive disorder and healthy controls using automated facial expression analysis. Functional MRI combined with tensor-independent component analysis identified brain networks associated with facial […]
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