BULING XIA | Arts and Humanities | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Sustainable Use Intention of Text-to-Image Generative AI in Higher Education: An S–O–R Model with Parallel Trust and Risk Pathways

BULING XIA
Affiliation Hanyang University
Country China
Documents 1
Citations 2
Subject Area Arts and Humanities
Award Category Best Paper Award
Event
Best Paper Awards
ORCID
0009-0001-3018-0837

The Best Paper Award recognizes the outstanding scholarly contribution of
BULING XIA from Hanyang University, China.
The award honors innovative research in Arts and Humanities through the study
“Sustainable Use Intention of Text-to-Image Generative AI in Higher Education: An S–O–R Model with Parallel Trust and Risk Pathways.”
The research provides important insights into artificial intelligence adoption, trust formation, perceived risks, and sustainable technology usage within higher education environments.

Abstract

The Best Paper Award recognizes BULING XIA for outstanding academic contributions through the research titled “Sustainable Use Intention of Text-to-Image Generative AI in Higher Education: An S–O–R Model with Parallel Trust and Risk Pathways.The study investigates factors influencing the sustainable adoption of text-to-image generative artificial intelligence in higher education. By applying the Stimulus–Organism–Response framework, the research examines the influence of trust and perceived risk on users’ intentions toward AI technologies. The findings provide valuable theoretical and practical insights for responsible AI integration, digital transformation, and interdisciplinary research within Arts and Humanities.

Keywords

Arts and Humanities; Generative Artificial Intelligence; Text-to-Image AI; Higher Education; Sustainable Use Intention; S–O–R Model; Trust; Perceived Risk; Educational Technology; Artificial Intelligence Adoption.

Introduction

Artificial intelligence technologies are transforming educational environments by introducing innovative approaches to teaching, learning, and knowledge creation. Understanding user acceptance and sustainable usage of AI tools has become increasingly important. BULING XIA’s research contributes to this field by examining how trust and perceived risks influence the adoption of text-to-image generative AI in higher education.

Research Profile

BULING XIA is affiliated with Hanyang University, China. The researcher focuses on emerging areas including generative artificial intelligence, educational technology, technology acceptance, and digital innovation. With published research contributions and citation impact, the work demonstrates growing influence in interdisciplinary studies connecting technology, education, and Arts and Humanities perspectives.

Scientific Background

The rapid development of generative artificial intelligence has created new opportunities and challenges in higher education. Research on AI adoption requires understanding technological benefits, psychological factors, trust mechanisms, and potential risks. BULING XIA’s research provides a scientific foundation for exploring sustainable interaction between users and AI-powered educational technologies.

Methodology

The research applies the Stimulus–Organism–Response (S–O–R) model to analyze sustainable use intentions toward text-to-image generative AI. The study examines parallel pathways involving trust and perceived risk, providing a structured framework for understanding behavioral responses and decision-making processes related to AI adoption in higher education.

Key Findings

The study demonstrates that trust and perceived risk play important roles in shaping users’ intentions to adopt text-to-image generative AI technologies. The findings highlight the importance of developing reliable, transparent, and user-centered AI systems that encourage sustainable technology utilization within educational environments.

Scientific Contributions

BULING XIA’s research contributes to artificial intelligence and educational technology studies by integrating behavioral theory with practical technology adoption challenges. The work strengthens understanding of sustainable AI implementation through interdisciplinary approaches combining information technology, education research, and human behavioral perspectives.

Conclusion

The Best Paper Award celebrates BULING XIA’s contribution to advancing research on sustainable text-to-image generative AI adoption in higher education. The study demonstrates academic excellence, innovative methodology, and interdisciplinary significance by addressing important factors that influence responsible artificial intelligence usage and future educational technology development.

References

  1. ORCID Profile.
    https://orcid.org/0009-0001-3018-0837
  2. Best Paper Awards.
    https://bestpaperawards.com/
  3. Hanyang University.
    https://www.hanyang.ac.kr/

Sui-Kwong Sunny Lam | Arts and Humanities | Best Researcher Award

Published on by Best Paper Awards

Assoc. Prof. Dr. Sui-Kwong Sunny Lam | Arts and Humanities | Best Researcher Award

Associate Professor | Hong Kong Metropolitan University | Hong Kong

Assoc. Prof. Dr. Sunny Sui Kwong Lam is highly suitable for a Best Researcher Award based on his extensive academic leadership, sustained research output, and substantial contributions to digital culture, communication, creative industries, and cultural studies. With more than three decades of combined academic, professional, and research experience, he has established a strong scholarly profile characterized by depth, interdisciplinarity, and societal relevance. As an Associate Professor at Hong Kong Metropolitan University, he has led major academic programmes, supervised numerous theses, and contributed to curriculum development for undergraduate and postgraduate programmes in creative advertising, media design, and cultural and digital communication. His research record includes high-quality journal publications, impactful Springer book chapters, and numerous presentations at internationally recognized conferences, covering areas such as digital aesthetics, participatory media, prosumption, city branding, local identity, mobile culture, and community health and well-being. His work is further acknowledged through active roles as associate editor, reviewer for leading journals, and specialist or panel member for accreditation bodies such as HKCAAVQ. In addition, his professional service extends to juror and assessor positions in media and creative arts competitions, reflecting his recognized expertise in both scholarly and applied domains. He has secured competitive grants, directed a research centre, coordinated international fieldwork, and edited academic volumes, demonstrating strong research leadership and knowledge dissemination. His excellence is reinforced by multiple institutional awards, including the President’s Awards for Excellence in Inspirational Teaching and Distinguished Achievement. Coupled with his advanced methodological skills in qualitative and quantitative research, rich industry background, and contributions to cultural policy and digital humanities, Assoc. Prof. Dr. Lam presents a distinguished and holistic profile that aligns strongly with the expectations of a Best Researcher Award.

Profiles: ORCID | Scopus | ResearchGate | LinkedIn

Featured Publications

Lam, S. S.-k. (2025). How to brand a city to appeal to young consumers: A qualitative study. Qualitative Market Research: An International Journal, 28(4), 607–624.

Lam, S. S. K. (2025). Self-regulated leisure sports for health and well-being: Learning from Harbour Runners’ community-based interventions and motivations through Instagram communications during the COVID-19 pandemic. World Leisure Journal, 67(2), 346–366.

Lam, S. S.-K. (2025). Xinyuan Wang, Ageing with Smartphones in Urban China: From the Cultural to the Digital Revolution in Shanghai. International Journal of Communication, 19, 2949–2952.

Lam, S. S. (2019). Multi-layered identities by social media and prosumption practices in digital and participatory communication. Journal of Digital Media & Interaction, 2(3), 7–22.

Lam, S. S. K. (2013). ICT’s impact on family solidarity and upward mobility in translocal China. Asian Journal of Communication, 23(3), 322–340.

 

The nominee’s work advances digital culture and creative communication research by generating new knowledge that strengthens cultural understanding, community well-being, and the evolution of media practices. His interdisciplinary contributions influence societal development, guide industry practices in branding and digital communication, and support global innovation through human-centered, research-driven insights.