| 1 | Author(s):
Tiffany Chang, Siou-Lian Zeng. Page No : 1-20 |
Closed-Loop Neurofeedback Systems Using Wearable Electroencephalogram for Real-Time Attention-Deficit/Hyperactivity Disorder Symptom Management -Clinical Applications and Future Directions
Abstract
The paper examines the transformative potential of wearable electroencephalography (EEG)
technology for managing Attention-Deficit/Hyperactivity Disorder. The research investigates
neural signatures detectable through single-channel EEG, particularly the elevated theta/beta
ratio that identifies Attention-Deficit/Hyperactivity Disorder with 85% accuracy. Recent
advances in dry electrode technology, signal processing, and power management enable
clinical-grade monitoring in daily environments with minimal disruption. Real-world
implementations demonstrate significant clinical efficacy, with school-based programs showing
substantial improvements in sustained attention and impulse control. The paper presents
implementation frameworks for educational, home, and clinical settings, highlighting integrated
systems that provide customized dashboards for various stakeholders. The analysis identifies
three critical areas for development: signal quality optimization in dynamic environments,
personalized neural pattern recognition, and multimodal integration with complementary
physiological measures. The review explores how these systems complement established
treatments to create comprehensive intervention strategies. The review provides evidence-based
frameworks for incorporating wearable electroencephalogram neurofeedback into
Attention-Deficit/Hyperactivity Disorder treatment protocols. By bridging the gap between
laboratory assessment and real-world functioning, these systems deliver contextual support when
and where attention challenges occur, representing a significant advancement in objective
monitoring and intervention for Attention-Deficit/Hyperactivity Disorder management.
| 2 | Author(s):
Bo-Er Cai. Page No : 21-38 |
Aesthetic Evaluation and Market Value Quantification of AI-Generated Art
Abstract
The emergence of AI-generated art has profoundly challenged conventional paradigms of
aesthetic evaluation and market valuation, necessitating innovative methodologies to assess its
artistic merit and economic worth. This study introduces a comprehensive multi-dimensional
aesthetic evaluation framework, encompassing five pivotal dimensions-Formal Aesthetics,
Technical Innovation, Conceptual Depth, Innovative Uniqueness, and Audience Interactive
Experience-to appraise the aesthetic and cultural significance of AI-generated artworks
systematically. Complementing this, a logarithmic regression model for market value
quantification is developed, integrating key determinants such as technical innovation,
human-machine collaboration, creator reputation, aesthetic score, and cultural influence.
Empirical analysis, including case studies of seminal AI artworks and market segmentation data
(2018–2023), demonstrates that enduring market success requires combining technical
sophistication, conceptual profundity, and institutional endorsement. The proposed frameworks
offer robust tools for artists, collectors, curators, and scholars to navigate the complexities of the
AI art market, while underscoring the necessity for further longitudinal and cross-cultural
research to address the evolving landscape of algorithmic creativity.
| 3 | Author(s):
Miao-Jung Lin. Page No : 39-54 |
Innovative Teaching Models in English Education: A Comprehensive Analysis of Digital Integration, Challenges, and Future Directions
Abstract
This paper examines the implementation and impact of innovative teaching models in
English education, with particular emphasis on digital technology integration. This research
identifies key trends, challenges, and opportunities in modern English language teaching through
a mixed-methods approach combining literature review, surveys, and interviews with English
teachers. The findings reveal that digital technologies offer significant potential for enhancing
student engagement and learning outcomes; however, successful implementation requires
comprehensive teacher training, institutional support, and addressing the digital divide. The study
concludes that innovative teaching models, particularly blended learning, mobile-assisted
language learning, and gamification, can transform English education adequately with adequate
professional development and technological infrastructure.
| 4 | Author(s):
Jung-Yi Wang. Page No : 55-72 |
Geo-Economic Cooperation in Northeast Asia: Regional Development Impacts
Abstract
This paper examines the multifaceted dynamics of geo-economic cooperation in Northeast
Asia, particularly emphasizing the trilateral interactions among China, Japan, and South Korea.
Through a mixed-methods research approach that integrates quantitative analysis with qualitative
case studies, we investigate how geographical, political, economic, and cultural factors
collectively shape regional cooperation patterns and their subsequent development outcomes.
The research demonstrates that while substantial economic interdependencies have emerged
across the region, persistent political tensions rooted in historical grievances constrain
opportunities for deeper institutional integration. Our empirical findings underscore the critical
importance of simultaneously addressing underlying geopolitical challenges while strategically
leveraging existing economic complementarities to promote sustainable and inclusive regional
development. The study contributes to the broader understanding of regional integration theory
by providing evidence-based insights into the complex interplay between economic cooperation
and political stability in one of the world's most economically dynamic yet politically fragmented
regions.
Keywords: Northeast Asia, Geo-economic cooperation, Regional integration, Economicdevelopment, Trade relations
| 5 | Author(s):
Jiang-Yan Huang. Page No : 73-90 |
Human-Centered Management and Marketing Strategies in Educational Technology: An Empirical Analysis of XD Technology’s Attention Training Innovation and Implementation
Abstract
Through a comprehensive case analysis, this paper examines XD Technology’s
human-centered management and marketing strategies in attention training. The research
demonstrates how the company has constructed a distinctive educational technology ecosystem
through four core approaches: “products returning to human-centered principles”, “marketing
returning to human-centered principles”, “services returning to human-centered principles”, and
“strategy focusing on human-centered principles” through organizational transformation. Based
on practical implementation in the Minxi revolutionary base area, XD Technology has
successfully achieved technology democratization and urban-rural educational integration,
providing a replicable “Longyan Model” for educational equity. The findings indicate that
user-needs-oriented human-centered strategies enhance enterprise competitiveness and contribute
significantly to educational modernization and rural revitalization. The research employs case
study methodology to investigate XD Technology's 16-month implementation across 23 schools,
benefiting over 3,000 students, thereby providing theoretical guidance and practical insights for
sustainable development in educational technology enterprises.
| 6 | Author(s):
Kuo-Tai Lu. Page No : 91-116 |
Adoption of Robo-Advisors: The Mediating Role of Experiential Value and the Moderating Effect of User Involvement
Abstract
The rise of robo-advisors-automated, algorithm-driven investment services—has
transformed the financial service landscape by offering low-cost, data-driven solutions tailored to
individual users. While prior research has examined factors influencing the adoption of FinTech
tools, limited attention has been paid to how users’ experiential value and involvement interact
with perceived innovation attributes to shape behavioral intention. This study integrates
Innovation Diffusion Theory, Experiential Value Theory, and Involvement Theory to propose a
comprehensive research model. Using data from 565 valid responses collected in Taiwan, the
model is tested via partial least squares structural equation modeling (PLS-SEM). The results
indicate that innovation attributes-particularly usability, relative advantage, and
observability-positively influence multiple dimensions of experiential value, including
investment return, hedonic value, aesthetics, and playfulness. In turn, experiential value
significantly predicts users’ behavioral intention to adopt robo-advisory services, with investment
return and hedonic value emerging as the strongest predictors. Interestingly, user involvement
negatively moderates the relationship between playfulness and behavioral intention, suggesting
that highly involved users prioritize functionality over entertainment. This study contributes to
the FinTech adoption literature by identifying experiential value as a critical mediating
mechanism and reframing the role of user involvement. The findings provide theoretical insights
and practical guidance for designing personalized, user-centric robo-advisory platforms.
