Short answer
Design AI co-creation tools not just for functional output, but to actively cultivate user perceptions of novelty and usefulness, thereby fostering greater engagement and intention to use.
- Field
- User-Centred Design
- Source
- Frontiers in Psychology (2025)
- Method
- Empirical research involving quantitative studies and qualitative interviews.
- Evidence
- Strong effect
Users are more likely to engage in co-creation with AI than with humans because AI enhances their perception of both the novelty and the usefulness of the creative process and its outcomes. This user-centred design research insight is drawn from a 2025 study published in Frontiers in Psychology. Using Empirical research involving quantitative studies and qualitative interviews., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design AI co-creation tools not just for functional output, but to actively cultivate user perceptions of novelty and usefulness, thereby fostering greater engagement and intention to use.
AI co-creation boosts perceived novelty and usefulness, increasing user intention.
Users are more likely to engage in co-creation with AI than with humans because AI enhances their perception of both the novelty and the usefulness of the creative process and its outcomes.
Frontiers in Psychology · 2025
Key Findings
- 01Co-creating with AI significantly increases perceived novelty compared to co-creating with humans.
- 02Co-creating with AI also increases perceived usefulness, contrary to common assumptions.
- 03Perceived novelty and usefulness are key mediators of co-creation intention with AI.
- 04Efficiency, value, and relationship are principal drivers of AI's perceived usefulness.
- 05The need to belong moderates the effect of co-creator type on intention.
Application
Design takeaway
Design AI co-creation tools not just for functional output, but to actively cultivate user perceptions of novelty and usefulness, thereby fostering greater engagement and intention to use.
How to apply
When developing AI-powered design tools, conduct user research to understand how to best communicate and deliver perceived novelty and usefulness, and tailor the user experience to address efficiency, value, and relationship aspects.
Project actions
- 01When evaluating AI tools for your design project, consider how they impact your perception of novelty and usefulness.
- 02Think about how the AI's efficiency, value, and interaction style contribute to your overall experience.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Empirical validation across multiple studies.
- +Identification of key psychological mediators (novelty, usefulness).
Limitations
The specific AI model used might influence results; generalizability to all AI co-creation scenarios needs further investigation.
Reliability & validity
The use of multiple studies and qualitative data enhances the reliability and validity of the findings.
Think critically
How might the 'need to belong' influence individuals' willingness to engage in AI co-creation, and what design strategies could mitigate potential feelings of isolation or detachment?
Design Principles
"Design for perceived value: Ensure that AI co-creation tools demonstrably enhance perceived novelty and usefulness to drive user adoption and satisfaction."
Understanding user perceptions of AI as a co-creation partner is crucial for designing effective human-AI collaborative tools. This insight highlights that perceived benefits, beyond mere output quality, drive user engagement, informing strategies for integrating AI into creative workflows.
What This Means for Your Design
People like creating things with AI more than with other people because they think the AI makes the ideas fresher and the process more helpful, leading them to want to use AI for creative tasks more often.
How to use in your project
- 1.Reference this study when discussing user preferences for AI collaboration in your design project, particularly when justifying the use of AI tools or analyzing user engagement.
Add to My Project
Quick Cite
Paragraph starter
Research indicates that users exhibit a higher intention to co-create with AI compared to human partners, primarily due to AI's ability to enhance perceived novelty and usefulness. This suggests that designing AI-driven creative tools should focus on maximizing these perceived benefits to foster greater user engagement and adoption in design practice.
Source
Frontiers in Psychology
From humans to AI: understanding why AI is perceived as the preferred co-creation partner
journal · 2025
View sourceQuestions About This Research
- What does the research say about ai co-creation boosts perceived novelty and usefulness, increasing user intention?
- Design AI co-creation tools not just for functional output, but to actively cultivate user perceptions of novelty and usefulness, thereby fostering greater engagement and intention to use. Evidence: Frontiers in Psychology (2025).
- Why does "AI co-creation boosts perceived novelty and usefulness, increasing user intention." matter for design?
- Understanding user perceptions of AI as a co-creation partner is crucial for designing effective human-AI collaborative tools. This insight highlights that perceived benefits, beyond mere output quality, drive user engagement, informing strategies for integrating AI into creative workflows.
- How can designers apply this research?
- Design AI co-creation tools not just for functional output, but to actively cultivate user perceptions of novelty and usefulness, thereby fostering greater engagement and intention to use.
- What were the main findings?
- Co-creating with AI significantly increases perceived novelty compared to co-creating with humans.. Co-creating with AI also increases perceived usefulness, contrary to common assumptions.. Perceived novelty and usefulness are key mediators of co-creation intention with AI.. Efficiency, value, and relationship are principal drivers of AI's perceived usefulness.
- What research method was used?
- Empirical research involving quantitative studies and qualitative interviews..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Frontiers in Psychology.
- What should I do differently in my next project?
- When developing AI-powered design tools, conduct user research to understand how to best communicate and deliver perceived novelty and usefulness, and tailor the user experience to address efficiency, value, and relationship aspects.
- What are the limitations?
- The findings might be influenced by the specific AI technologies used and the participants' prior experiences and familiarity with AI.