Vietnamese youth motivations for watching generative adversarial networks videos about national heroes and martyrs

Recreating and transmitting images and content about heroic martyrs thanks to generative AI and old photo restoration technology is a topic that attracts the attention of many students. This study examines the level of motivation of students in images of national heroic martyrs and generative adversarial networks (GANs) to help restore and create vivid movements for images. The goal is to find out how modern technology attracts audiences through creating moving videos from static, damaged, old, historical images and reaching them through digital platforms. Based on the technology acceptance model (TAM) and the uses and gratifications theory (UGT), this quantitative study analyses the issues that affect students' interest in accessing and the level of interest and sharing of digital content created by AI. The research results show that the use of AI can increase students' interest and engagement in content about historical heroes and martyrs, emphasising the potential of GANs technology in transforming old images of historical heroes and martyrs into creative and easily shareable digital products.