This behavioral-science and psychological-assessment protocol standardizes online questionnaire administration, scoring, data-quality screening, and reproducible analysis to assess internet addiction and emotion-regulation difficulty among university students.

a-standardized-questionnaire-protocol-for-internet-addiction-emotion

A Standardized Questionnaire Protocol for Internet Addiction and Emotion-Regulation Assessment in University Students

Internet use is deeply embedded in university life, but problematic internet use cannot be evaluated adequately by exposure time alone. Evidence suggests ...

This protocol details a quantitative methodology using structural equation modeling to evaluate how the quality of mixed reality cultural narratives influences visitor immersion, perceived authenticity, emotional connection, and subsequent learning outcomes in digital heritage environments.

evaluating-visitor-engagement-mixed-reality-digital-heritage

Evaluating Visitor Engagement in Mixed Reality Digital Heritage Narratives via Structural Equation Modeling

This article presents a comprehensive protocol for evaluating the impact of mixed reality (MR) cultural narrative quality on visitor engagement and ...

This protocol provides a standardized methodology for designing and evaluating mixed reality cultural experiences in operational heritage sites, utilizing spatial narratives, interactive interfaces, and multimodal metrics that systematically combine psychological surveys with objective behavioral logs.

a-protocol-for-designing-evaluating-mixed-reality-cultural

A Protocol For Designing And Evaluating Mixed Reality Cultural Experiences In Museums And Heritage Sites Using Spatial Narratives And Metrics

Mixed reality (MR) applications are increasingly used in museums and heritage sites; however, their deployment often lacks methodological coherence, with ...

The present protocol describes a novel end-to-end salient object detection algorithm. It leverages deep neural networks to enhance the precision of salient object detection within intricate environmental contexts.

end-to-end-deep-neural-network-for-salient-object-detection-complex

Institution - Zhengzhou University of Economics and Business

Articles Published in JoVE