Research on the Impact of Image Content Generation Based on AIGC on User Satisfaction of Xiaohongshu
Year: 2025
Type: conference-paper
Abstract: This study compares the quality and user satisfaction of AI generated content (AIGC) products based on different approaches from a user perspective. Taking MidJourney and ERNIE Bot as the research objects, through collecting the review text of Xiaohongshu social media platform, and using IPA analysis tools, the differences in demand characteristics of different AIGC products are analyzed from two dimensions of attention and satisfaction. The results show that AIGC products have high consistency in safety and functionality requirements, but there are differences in specific user needs. Different AIGC tools also have significant differences in content diversity, innovation, personalization, and user interaction. Based on the research results, improvement strategies for AIGC products have been proposed to enhance user satisfaction and content quality. This study not only reveals the advantages and limitations of AIGC technology in content generation. The research results have important theoretical and practical significance for understanding the application of AIGC in social media platforms.
Authors: Xinxing Luo, Tao Zhou, Sheng Cao
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413812451