The Role of Human-AI Interaction in Driving Technological Innovation in the Digital Media Industry: A Qualitative Analysis

Jun Cui

doi:10.30560/mct.v1n1p17

Jun Cui Solbridge International School of Business, Woosong University, Daejeon, Republic of Korea

DOI: https://doi.org/10.30560/mct.v1n1p17

Keywords: Human-AI interaction, technological innovation, digital media industry, ai-driven creativity, data processing in media, decision support systems, AI-enabled content generation, qualitative interview study, innovation strategy, predictive analytics

Abstract

The rapid advancement of the digital media industry has placed increasing emphasis on technological innovation as a key driver of competitiveness and growth. As artificial intelligence (AI) becomes more deeply integrated into digital media enterprises, human-AI interaction is emerging as a crucial factor influencing innovation processes. This study explores the role of human-AI interaction in driving technological innovation within digital media firms. Using a qualitative interview approach, data were collected from industry professionals, including AI engineers, product managers, and innovation strategists, across various digital media enterprises. The findings reveal that human-AI interaction enhances technological innovation in three key areas: data processing, creative content generation, and decision support. Specifically, AI-powered tools enable faster and more efficient data analysis, facilitate the development of novel media content, and assist decision-making processes through predictive analytics and automation. Additionally, this research contributes to the existing literature by addressing the gap in understanding how human-AI collaboration influences innovation outcomes in digital media enterprises. The study provides valuable insights for industry practitioners seeking to optimize AI-driven innovation strategies and offers a foundation for further academic inquiry into the evolving dynamics of human-AI synergy in creative industries.

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