Short answer
Designers should leverage the identified interaction paradigms and components to create more structured and intuitive generative AI tools, focusing on enhancing user control and creative expression.
- Field
- Innovation & Design
- Source
- Academic Publication (2025)
- Method
- Systematic Review
- Sample
- 189
- Evidence
- Strong effect
A structured taxonomy of generative AI interaction designs reveals distinct paradigms and design components crucial for fostering user creativity in artistic domains. This innovation & design research insight is drawn from a 2025 study published in Academic Publication. Using Systematic review with 189, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should leverage the identified interaction paradigms and components to create more structured and intuitive generative AI tools, focusing on enhancing user control and creative expression.
Generative AI interaction paradigms for art and creativity
A structured taxonomy of generative AI interaction designs reveals distinct paradigms and design components crucial for fostering user creativity in artistic domains.
Academic Publication · 2025
Key Findings
- 01A taxonomy of interaction paradigms for generative AI in creative domains was developed.
- 02Key design components and their mapping to creative domains and user interaction patterns were identified.
- 03Under-represented areas in the design of generative AI for creativity were highlighted.
Application
Design takeaway
Designers should leverage the identified interaction paradigms and components to create more structured and intuitive generative AI tools, focusing on enhancing user control and creative expression.
How to apply
When designing a new generative AI tool for creative purposes, analyze existing tools based on the identified taxonomy to understand common interaction patterns and identify opportunities for innovation.
Project actions
- 01When exploring generative AI tools for your design project, try to categorize their interactions using the principles from this review.
- 02Consider how your design project can address the 'under-represented spaces' identified in the research.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Comprehensive systematic review of a large number of studies.
- +Development of a structured taxonomy for a complex and evolving field.
Limitations
The review is based on published research, so it might miss cutting-edge or proprietary AI interaction designs. The effectiveness of the taxonomy might vary depending on the specific creative domain.
Reliability & validity
The systematic review methodology enhances reliability through defined search criteria and inclusion/exclusion rules. Validity is supported by the comprehensive nature of the review and the structured taxonomy development.
Think critically
How might the rapid evolution of generative AI technologies outpace the development of interaction design taxonomies, and what strategies can designers employ to remain agile?
Design Principles
"Structure generative AI creative tools around well-defined interaction paradigms and components to maximize user agency and creative output."
Understanding the landscape of generative AI interactions allows designers to move beyond novel tool creation and focus on crafting effective and engaging user experiences. This systematic approach can guide the development of more intuitive and powerful creative tools, accelerating innovation in digital art and design.
What This Means for Your Design
This study looks at how people use AI to make art and design, creating a map of different ways to interact with these AI tools so designers can build better ones.
How to use in your project
- 1.Use the taxonomy to analyze the strengths and weaknesses of existing generative AI tools relevant to your design project.
- 2.Reference the identified interaction paradigms when justifying your design choices for user interaction.
Add to My Project
Quick Cite
Paragraph starter
This research provides a systematic review and taxonomy of generative AI interaction paradigms for art and creativity, identifying key design components and user interaction patterns. This framework is invaluable for understanding the current landscape and identifying opportunities for innovative design within creative domains.
Source
Academic Publication
Designing Interactions with Generative AI for Art and Creativity: A Systematic Review and Taxonomy
journal · 2025
View sourceQuestions About This Research
- What does the research say about generative ai interaction paradigms for art and creativity?
- Designers should leverage the identified interaction paradigms and components to create more structured and intuitive generative AI tools, focusing on enhancing user control and creative expression. Evidence: Academic Publication (2025).
- Why does "Generative AI interaction paradigms for art and creativity" matter for design?
- Understanding the landscape of generative AI interactions allows designers to move beyond novel tool creation and focus on crafting effective and engaging user experiences. This systematic approach can guide the development of more intuitive and powerful creative tools, accelerating innovation in digital art and design.
- How can designers apply this research?
- Designers should leverage the identified interaction paradigms and components to create more structured and intuitive generative AI tools, focusing on enhancing user control and creative expression.
- What were the main findings?
- A taxonomy of interaction paradigms for generative AI in creative domains was developed.. Key design components and their mapping to creative domains and user interaction patterns were identified.. Under-represented areas in the design of generative AI for creativity were highlighted.
- What research method was used?
- Systematic Review with 189.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Academic Publication.
- What should I do differently in my next project?
- When designing a new generative AI tool for creative purposes, analyze existing tools based on the identified taxonomy to understand common interaction patterns and identify opportunities for innovation.
- What are the limitations?
- The review is limited to published HCI literature and may not capture all emerging or proprietary generative AI design approaches. The taxonomy's comprehensiveness depends on the scope and quality of the reviewed studies.