Research Methodology

The foundational phase establishes the theoretical grounding for our investigation through comprehensive literature review and landscape analysis of current AI creative tools and practices.

We examine existing research across design studies, human-computer interaction, artificial intelligence, and creative cognition to build a robust theoretical foundation for understanding human-AI creative collaboration.

Simultaneously, we map the current landscape of AI tools, identifying capabilities, limitations, and adoption patterns across different creative disciplines and geographic regions.

The empirical phase involves direct engagement with creative practitioners actively using AI tools in their professional work, gathering rich qualitative data on real-world human-AI collaboration experiences.

Through semi-structured interviews, workflow observation sessions, and detailed case studies, we capture the nuanced ways designers integrate AI into their practice.

This phase provides crucial insights into the lived experience of human-AI creative collaboration that cannot be captured through surveys or controlled experiments alone.

The experimental phase tests specific hypotheses about human-AI collaboration through controlled studies comparing creative outputs and processes across different collaboration modes.

Participants complete identical creative briefs under varying conditions: human-only, AI-assisted at specific stages, and full-chain AI collaboration. Outputs are evaluated by expert panels.

This phase provides the quantitative evidence needed to support claims about the effectiveness of different collaboration approaches.

The synthesis phase integrates findings from all previous phases into a coherent Full-Chain Creative Partner framework, validated through pilot implementations with industry partners.

We develop practical guidelines, assessment tools, and implementation strategies that translate research insights into actionable recommendations for creative practitioners and organisations.

Framework validation involves real-world testing with partner studios, educational institutions, and individual practitioners across multiple creative disciplines.