Short answer
Shift focus from purely functional AI tools to AI systems that actively support and integrate with human creative processes, fostering a collaborative dynamic.
- Field
- Innovation & Design
- Source
- Human-Machine Communication (2025)
- Method
- Qualitative research
- Sample
- 18 participants
- Evidence
- Moderate effect
Creative professionals who perceive Generative AI as a collaborative partner, rather than just a tool, report a stronger sense of agency in their work. This innovation & design research insight is drawn from a 2025 study published in Human-Machine Communication. Using Qualitative research with 18 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Shift focus from purely functional AI tools to AI systems that actively support and integrate with human creative processes, fostering a collaborative dynamic.
GenAI as a Collaborative Partner Enhances Creative Agency
Creative professionals who perceive Generative AI as a collaborative partner, rather than just a tool, report a stronger sense of agency in their work.
Human-Machine Communication · 2025
Key Findings
- 01Perceived adaptability, creativity, and scalability of GenAI enhanced users' sense of agency.
- 02Limitations in customizability, uncertainty, and feedback mechanisms undermined human agency.
- 03Users' conceptualization of GenAI (tool vs. partner) and their developed folk theories influenced these perceptions.
Application
Design takeaway
Shift focus from purely functional AI tools to AI systems that actively support and integrate with human creative processes, fostering a collaborative dynamic.
How to apply
When designing AI-assisted creative tools, consider how the interface and interaction design can frame the AI as a collaborator, providing clear pathways for user input and control.
Project actions
- 01When interviewing users about AI tools, ask them how they think of the AI – is it a tool, a partner, or something else?
- 02Observe how users interact with AI to see if they are trying to 'teach' it or 'direct' it.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Explores a novel and timely topic in human-AI interaction.
- +Provides rich qualitative data through interviews.
Limitations
The study relies on self-reported perceptions, which can be subjective. The specific AI technologies available at the time of the study may also influence findings.
Reliability & validity
The qualitative nature of the study provides rich insights but may limit generalizability. Triangulation of findings with observational data or quantitative measures could enhance validity.
Think critically
To what extent can 'folk theories' about AI be intentionally shaped through design to improve user experience, and what are the ethical implications of such shaping?
Design Principles
"Foster perceived agency in human-AI collaboration by designing for partnership and transparent control."
Understanding how users conceptualize AI influences their engagement and perceived control. Designing AI systems that foster a sense of partnership can lead to more effective and satisfying creative workflows.
What This Means for Your Design
When people think of AI as a helper they can work with, they feel more in charge of their creative projects. But if the AI is hard to control or doesn't give good feedback, they feel less in charge.
How to use in your project
- 1.Use this research to justify why you are designing your AI feature to be more collaborative, rather than just a simple input-output system.
Add to My Project
Quick Cite
Paragraph starter
This study by Sun, Cruz, and Kim (2025) highlights that creative professionals' sense of agency is significantly influenced by their conceptualization of Generative AI. When users perceive AI as a collaborative partner, their agency is enhanced, whereas viewing it as a mere tool can diminish this feeling, especially when faced with limitations in customizability and predictability. This suggests that design interventions should focus on fostering a sense of co-creation and providing clear avenues for user control to maximize positive engagement with AI in creative workflows.
Source
Human-Machine Communication
Tools or Teammates? Examining Agency Negotiation in Human-GenAI Collaboration In Creative Work
journal · 2025
View sourceQuestions About This Research
- What does the research say about genai as a collaborative partner enhances creative agency?
- Shift focus from purely functional AI tools to AI systems that actively support and integrate with human creative processes, fostering a collaborative dynamic. Evidence: Human-Machine Communication (2025).
- Why does "GenAI as a Collaborative Partner Enhances Creative Agency" matter for design?
- Understanding how users conceptualize AI influences their engagement and perceived control. Designing AI systems that foster a sense of partnership can lead to more effective and satisfying creative workflows.
- How can designers apply this research?
- Shift focus from purely functional AI tools to AI systems that actively support and integrate with human creative processes, fostering a collaborative dynamic.
- What were the main findings?
- Perceived adaptability, creativity, and scalability of GenAI enhanced users' sense of agency.. Limitations in customizability, uncertainty, and feedback mechanisms undermined human agency.. Users' conceptualization of GenAI (tool vs. partner) and their developed folk theories influenced these perceptions.
- What research method was used?
- Qualitative research with 18 participants.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2025 journal from Human-Machine Communication.
- What should I do differently in my next project?
- When designing AI-assisted creative tools, consider how the interface and interaction design can frame the AI as a collaborator, providing clear pathways for user input and control.
- What are the limitations?
- Findings may be specific to the creative fields studied and the particular GenAI tools used; individual user experiences can vary widely.