## 4 Results
### Phase One Research
#### 4.1.4 Qualitative Content Analysis Results  
Through a qualitative content analysis, we identified eight major influencing factors on the barriers to industry adoption: innovation, market demand, technological maturity, cross-disciplinary collaboration, ethics and privacy, public acceptance, data security and  
Figure 6: Qualitative content analysis process in the study.  
copyright, and global perspective and localization. Appendix C displays some results of the qualitative content analysis.  
Analyzing the factors impeding the adoption of AIVGTs from the perspective of video production experts reveals a spectrum of considerations, from the edge of innovation to cultural sensitivity in global markets. Each factor plays a key role in how these tools are perceived, integrated, and ultimately accepted within the industry.  
Innovation, as a crucial factor, resonated with nearly half of the respondents who shared a common viewpoint: \"Although AIVGTs offer the convenience of rapid content production, I find that many generated videos are too similar in style and theme, lacking real innovation\". Some respondents added, \"We need AI not just to replicate and reproduce existing content templates but to introduce new creative elements, break the mold, and create truly unique works\". One participant provided insights into market demand, noting, \"Some clients are skeptical about AI-created content, preferring traditional, manually created videos. AI has brought many possibilities to video production, but I have encountered several technical challenges during its use. For instance, automatically generated videos sometimes lack coherence and logical consistency, requiring substantial manual corrections\". This experience highlights a key issue: enhancing the maturity of AI technology to ensure the quality and consistency of generated video content meets professional standards.  
\"The real breakthrough in AI video generation requires a tight integration of artists' creativity with engineers' technical expertise. We attempt to facilitate cross-disciplinary collaboration within our team, combining AI technology with video art creation to explore new forms of expression\". An expert raised ethical considerations regarding AI-generated videos: \"Using AI to recreate the images or voices of deceased celebrities raises a host of ethical and moral concerns. How do we ensure that the use of this technology does not violate personal privacy or mislead the public?\". Many participants also expressed concerns about data security and copyright: \"With the widespread application of AI technology, how we protect the copyright of created content and ensure the legality and security of data usage has become a crucial issue we must address\". The final factor discussed was globalization versus localization, with one respondent recalling, \"When promoting AIVGTs in the global market, we cannot overlook the specific needs of different cultures and regions. Successful AI video content should be able to cross cultural barriers while respecting and reflecting the diversity of local cultures\".  
We collected narratives from 10 industry experts on their perceptions of AI-generated videos versus traditionally filmed videos. We conducted a qualitative content analysis to categorize common themes affecting the industry's perception and acceptance of AI video tools. These thematic factors laid the foundation for assessing the industry's readiness for adopting AI video production and potential barriers. Furthermore, it established a basis for developing a measurement tool to assess the willingness to adopt AIVGTs. The next phase of the research will delve into the details of these factors, expanding our understanding. This tool will aid in quantifying the impact of each identified barrier, thereby formulating strategies to enhance the adoption rate of AI video tools in professional settings.