## 1 Introduction
Primarily, practitioners' attitudes towards AI technology are frequently contingent upon their perceptions of how technology alters the manner in which they work. For instance, those who have experienced a swift and effective AI integration process tend to have an open attitude towards new tools, expecting them to further enhance work efficiency and content quality. Nevertheless, users who have encountered technical difficulties with AI tools or found the tools to be inadequate for specific creative demands may hold reservations or even negative attitudes toward AI technology. Furthermore, the manner in which practitioners utilize existing AIVGTs reflects their expectations and requirements for new tools. It is common for users to expect AI tools to handle repetitive technical tasks, such as editing and color correction, and also to provide higher-level creative support, such as content ideation suggestions and automated narrative structure generation. Such expectations indicate that the future direction of AI tool development should focus on combining creativity with technology to meet the increasingly complex production demands that will arise in the future. Finally, the behavior of practitioners indicates that while many have initiated experimentation with and adoption of AIVGTs, the widespread and profound application of these tools is still constrained by the degree of trust in their efficacy and concerns about the consequences of their use. However, empirical research on the actual experiences, attitudes, and acceptance levels of practitioners when adopting these tools is still relatively scarce. Given the criticality of practitioner acceptance for the successful integration of AIVGTs into video production processes, there is an urgent research gap that needs to be addressed: a systematic exploration of the factors influencing practitioners' acceptance and use of AIVGTs. Specifically, this study pursues the following research questions:  
1. Which key factors influence practitioners' acceptance and use of AIVGTs? 2. How do these influencing factors interact with each other? 3. How can AIVGTs be employed to facilitate their application in actual video production? The objective of this study is to provide empirical evidence regarding the numerous barriers encountered in the adoption of AIVGTs within the video production industry. The aim is to promote their application and optimization in this field. This research examines the factors that influence practitioners' willingness to adopt, with the aim of assisting industry decision-makers and developers in enhancing the experience and effectiveness of these tools. To date, empirical research on practitioners' actual experiences, attitudes, and acceptance of AIVGTs is relatively scarce, despite these factors being crucial for successfully integrating such technologies into video production workflows. Consequently, the findings of this study provide evidence-based recommendations and profound insights for industry decision-makers. The theoretical contributions of this research address a gap in the existing literature regarding the application of AIVGTs in video production. By gaining deeper insights into practitioners' acceptance and use of AIVGTs, we can better understand the challenges and demands they face in practice. This provides valuable insights for technology development and industry policymaking. This study not only offers practical guidance for the widespread application of AIVGTs in video production but also sheds light on future research directions and developments. Additionally, the research findings will contribute to driving the continuous advancement of AI technologies in the field of video production, fostering the industry's transition toward greater intelligence and innovation.