[Paper Review] The Loss of Impact of 'AI Disclosure': Experience Trumps Transparency

Based on the result that disclosure of AI use in short-form does not have a negative impact, the paper emphasizes practical insights that creators need not hesitate to disclose. Instead, it suggests that emotional resonance and immersion induction of content (e.g., strengthening hedonic motivation) promotes continued viewing, presenting a changed perspective that AI era content strategy should shift from 'technology-centered' to 'experience-centered.'

Quality as the Hidden Core Variable
To precisely measure the impact of AI-generated visual elements, this paper started with an information delivery format and inserted an intentional twist at the conclusion (a device that overturns the reliability of information), guiding viewers to focus on AI-generated background video and visual mood rather than being immersed only in message content. In this process, 'quality perception' set by researchers as a reference indicator demonstrated a high correlation with virtually all variables and performed an important role. Quality perception was closely connected with reliability perception (r=.735), perceived usefulness (r=.693), and continued viewing willingness (r=.625), meaning that the external completeness of content operates not as a simple additional element but as a hub variable that strengthens trust and immersion.

From Technology-Centered to Experience-Centered: Practical Insights in the AI Content Era
In conclusion, this research presents practical direction for AI content creators and platform operators. Creators need not be overly concerned about potential negative reactions or trust decline that may occur when disclosing AI use. What is important to viewers is not the transparency of the technology itself but how emotionally resonant and immersive an experience the content realized through that technology provides.