Veröffentlichungen

Abstract This study addresses the entrepreneurial intention–action 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 […]

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 […]

AbstractThis empirical study examines the relationship between visual design preferences and cognitive retention in board game evaluations using eye‑tracking technology combined with structured recall interviews. Sixty participants (N = 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 […]

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 […]

Abstract For seventeen centuries, basilica-plan churches have remained among Christianity’s 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 […]

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 […]

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 […]

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 […]

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 […]

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 […]