Jiaxuan Gong
Biographic Data
| ID | 6941218 |
|---|---|
| NAME | Jiaxuan Gong |
| GIVEN NAMES | Jiaxuan |
| FAMILY NAME | Gong |
| SIGNATURE | GONG J |
| AFFILIATIONS | Jiangnan University |
| ORCID | 0009-0000-8347-1630 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Public Sentiment Towards Interactive Art on Multi-Modal Social Media
This study presents a novel multi-modal approach analyzing public sentiment towards interactive art across Jiangsu Province using social media data. By integrating computer vision and NLP techniques (fine-tuned Qwen-VL for image captioning and prompt-based LLMs for sentiment analysis), we capture nuanced digital representations of artworks and public reactions. Findings reveal complex spatial patterns challenging traditional urban-rural dichotomi…
Engaging the Next Generation
Cultural heritage institutions face a critical challenge in engaging Generation Z, a demographic of digital natives with high expectations for interactive and immersive experiences. While Virtual Reality (VR) offers a promising solution, many implementations are dismissed as superficial “gimmicks,” lacking a theoretical foundation for effective design. To bridge this gap, we develop and validate an extended Technology Acceptance Model (TAM) to ex…
High schizotypy conditionally have a weaker sense of agency
No prominent works on this page.
High schizotypy conditionally have a weaker sense of agency
Engaging the Next Generation
Cultural heritage institutions face a critical challenge in engaging Generation Z, a demographic of digital natives with high expectations for interactive and immersive experiences. While Virtual Reality (VR) offers a promising solution, many implementations are dismissed as superficial “gimmicks,” lacking a theoretical foundation for effective design. To bridge this gap, we develop and validate an extended Technology Acceptance Model (TAM) to ex…
Public Sentiment Towards Interactive Art on Multi-Modal Social Media
This study presents a novel multi-modal approach analyzing public sentiment towards interactive art across Jiangsu Province using social media data. By integrating computer vision and NLP techniques (fine-tuned Qwen-VL for image captioning and prompt-based LLMs for sentiment analysis), we capture nuanced digital representations of artworks and public reactions. Findings reveal complex spatial patterns challenging traditional urban-rural dichotomi…
Aesthetic Perception and Analysis (1 work) · Augmented Reality Applications (1 work) · Bridge (graph theory (1 work) · Clinical Psychology (1 work) · Context (archaeology (1 work) · Cultural heritage (1 work) · Cultural Industries and Urban Development (1 work) · Democratization (1 work) · Developmental psychology (1 work) · Dichotomy (1 work)