Research Trends in Human-AI Collaboration: A Five-Year Density Analysis Based on Domain Categorization

Abstract

Human-AI teamwork is rapidly becoming one of the most energetic and promising frontiers in artificial intelligence. It drives a wide array of applications, from intelligent virtual assistants to collaborative creative platforms and interactive dialogue systems. This research offers a datadriven perspective on how this field has progressed over the past five years. By analyzing comprehensive reports such as the AI Research Progress Report (2020–2024) and using a specially developed keyword index for subfield classification, we identified which domains are expanding the fastest and where most research efforts are concentrated. This research integrates publication data, growth metrics, and comparative analysis across various subfields, employing visual tools like charts and linear regression models—to determine emerging hotspots and developing trends. Notably, dialogue generation systems and cooperative AI agents consistently produce the highest volume of research, while innovative AI-powered creative tools are experiencing swift growth . These findings not only provide a snapshot of the current environment in Human-AI collaboration but also suggest focal points for future breakthroughs.