摘要
Abstract
Objective The combination of large language models and human video generation technology has been widely applied in the production of short videos. This study aims to comprehensively evaluate the effectiveness of large language models combined with human video generation technology in assisting doctors to create short video content for public education. Methods Doctor lecture videos on four different topics from short video platforms were collected,each topic including one video featuring a virtual digital human doctor and two videos featuring real doctors. After randomly presenting videos of 12 doctors to volunteers,questionnaires were distributed,with each video being assessed by at least 15 volunteers who were unaware whether the videos were generated by digital human technology. The questionnaire included seven aspects:Perceived authenticity,content quality,audio-visual quality,professional level,cordiality,willingness to recommend,and acceptance. Results A total of 198 valid assessment questionnaires were collected,including 66 for virtual digital human videos and 132 for real videos. There were no statistically significant differences in the scores for the seven questions between real and virtual digital human videos,and these differences were not related to gender,income level,or educational background. 29.9％ of volunteers believed that discovering the videos were generated by artificial intelligence would affect their trust in the doctors,while 36.95％ of volunteers believed that the generation of videos by artificial intelligence would not change their overall perception of the doctors. Conclusion Current human video generation technology is capable of producing indistinguishable educational short videos,effectively assisting in the presentation of video quality and the image of doctors. It is necessary to strengthen legal regulations and use encryption technology,watermarks,and other digital techniques to protect personal images from unauthorized copy and use,preventing potential ethical risks.关键词
大语言模型/数字人视频合成技术/短视频Key words
Large language model/Human video generation/Short videos分类
医药卫生
