Research & Science
Publications
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2026 Strategic Business Research Open Access Peer-Reviewed
MarTech and Neuromarketing into Entrepreneurship Capstones: An Empirical Study on Experiential Learning Outcomes
Amity University Jharkhand + 1 more
Abstract This study addresses the entrepreneurial intentionβaction gap by investigating the integration of Marketing Technology (MarTech) and neuromarketing within experiential entrepreneurship capstone courses. Using a pre experimental one group pretest posttest design (lacking a control group, thus precluding causal claims), the study involved 1726 final year undergraduate students. Neuro feedback utilization was operationalized via logged […]
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2026 IEEE Gated Peer-Reviewed
Cognitive Flexibility and Grid Operator Performance Under Cyber-Physical Threats
ABSTRACT Sophisticated cyber-physical threats are often complex and unpredictable, making them difficult for grid operators to accurately detect and quickly mitigate. Responding to these threats demands cognitive flexibility, where operators can adapt behavior and decision-making in response to changing circumstances beyond routine operating conditions. This paper investigates cognitive flexibility and operator performance through a two-stage […]
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2026 Gated
EYE-TRACKING ANALYSIS OF VISUAL DESIGN PREFERENCESIN BOARD GAME SELECTION:INTEGRATING COGNITIVE ATTENTION AND MEMORY RETENTION FOR EFFECTIVE LUDIC INTERFACE DESIGN
AbstractThis empirical study examines the relationship between visual design preferences and cognitive retention in board game evaluations using eyeβtracking technology combined with structured recall interviews. Sixty participants (Nβ―=β―60) viewed four distinct illustration styles (cartoonish, modern, doodle drawing, and animated/3D) while gaze data were recorded using the Tobii VT3 Mini and iMotions software, followed by a […]
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2026 Gated Peer-Reviewed
A Comprehensive Review on the Scope of Eye Tracking on Early Autism Detection
Abstract: The process of identifying Autism Spectrum Disorder (ASD) at an early stage is challenging mainly because the condition exhibits diverse symptoms that current diagnostic techniques focus on subjective behavioral assessments, lacks objectivity. Recently, eye-tracking technology has emerged as an effective method to measure initial visual attention patterns and social interaction patterns that are associated […]
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2026 Religions: Experimental Theological Aesthetics Open Access Peer-Reviewed
Testing Seventeen Centuries of Claims: An Ecologically Valid Multi-Method Empirical Study of Basilica-Plan Sacred Architecture
Abstract For seventeen centuries, basilica-plan churches have remained among Christianityβs most enduring architectural forms. Scholars have long argued that features such as bell towers, axial orientation toward the altar, upward light, noble materials, verticality, monumental scale, beauty, and figurative iconography communicate sacred meaning and shape religious experience, though these claims have remained largely grounded in […]
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2026 Journal of Urbanism International Research on Placemaking and Urban Sustainability Open Access Peer-Reviewed
Visual engagement of streetscapes: eye-tracking and cluster analysis of design elements
Tufts University + 3 more
Streetscapes play a pivotal role in shaping pedestrian experiences and supporting livable, sustainable urban environments. This study investigates how the visual design of Green and Complete Streets (GCS) relates to pedestrian visual engagement. By categorizing streetscape elements into function-based, process-based, context-based, and design-based groups, the research examines their relationship with pedestrian gaze behavior. Two contrasting […]
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2026 Southwestern Mass Communication Journal Open Access Peer-Reviewed
But How Many Likes Did You Get? An Eye-Tracking Study of Sponsored Instagram Influencer Posts
Baylor University
Abstract Marketers across a variety of contexts have increasingly turned to social media influencers (SMIs) to take advantage of their robust social networks to promote products and services. While research has focused on the perceived social relationship between SMIs and their followers, little attention has been given to the influence of social engagement cues, such […]
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2026 Scientific Reports Open Access Peer-Reviewed
Attentional biases in depression depend on social comparison priming and information valence in an eye-tracking study
The Maria Grzegorzewska University + 2 more
Abstract The experimental study examined automatic and volitional attention processes as function of social comparison priming (directional: upward differences, downward differences, similarities; and non-directional control) and the valence of information (i.e., positive vs. negative feature) about an unfamiliar person. A total of 209 individuals, including those clinically depressed and without the diagnosis, were exposed to […]
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2026 Transportation Research Part F: Traffic Psychology and Behaviour Open Access Peer-Reviewed
Pedestrian pushbutton use, signal compliance, and visual attention at signalized intersections
California State University Sacramento + 1 more
The underlying factors governing why pedestrians interact with pedestrian signals and pushbuttons the way they do can inform design guidance and modifications which encourage pedestrians to use infrastructure more safely and efficiently. Therefore, a recruited participant experiment using eye tracking technology was performed to explore pedestrian signal compliance and pushbutton use. A total of 48 […]
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International Journal of Computer Information Systems and Industrial Management Applications Gated Peer-Reviewed
An Integrated AI Framework for Depression Detection Using Audio, Visual and Textual Data
B.E.S.T Innovation University + 2 more
Depression, as a mental health condition, often manifests through diverse verbal, non-verbal, and behavioral signals. Early and accurate detection of these indicators is critical to ensuring timely and effective intervention. This work introduces a multimodal Integrated AI framework for depression detection that uses: audio, visual, and textual data to improve classification performance. The proposed framework […]
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APA
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