A new study from Swansea University challenges the common narrative that AI primarily automates work and replaces human labor. The research, involving over 800 participants, reveals that AI can function as a creative collaborator that encourages exploration, engagement, and inspiration.
The Study
Researchers from Swansea’s Computer Science Department conducted one of the largest studies examining how people work alongside AI during creative design tasks. More than 800 participants joined an online experiment where they used an AI-supported system to design virtual cars.
The system used a method called MAP-Elites to produce visual galleries filled with many different design possibilities—showing everything from highly effective designs to unusual ideas and even intentionally flawed options.
Key Findings
Turing Fellow Dr. Sean Walton, Associate Professor of Computer Science and the study’s lead author, explained: “People often think of AI as something that speeds up tasks or improves efficiency, but our findings suggest something far more interesting. When people were shown AI-generated design suggestions, they spent more time on the task, produced better designs and felt more involved. It was not just about efficiency. It was about creativity and collaboration.”
The study highlighted that diversity in AI-generated output played a crucial role. Participants responded most positively to galleries that included a wide variety of ideas, including bad ones. These helped them move beyond their initial assumptions and explore a broader design space.
Why Traditional Evaluation Falls Short
The research, published in the ACM journal Transactions on Interactive Intelligent Systems, also points to a problem with how AI design tools are typically assessed. Standard metrics often focus on simple behaviors such as how frequently users click on or copy AI suggestions. These measures overlook important aspects of the experience, including how the technology influences people’s thoughts, emotions, and willingness to explore new ideas.
The Swansea researchers argue that AI systems should be evaluated using broader methods that capture these deeper effects, providing a more complete picture of AI’s impact on human creativity.
As AI becomes increasingly embedded in creative fields—from engineering and architecture to music and game design—understanding how humans and intelligent systems work together is essential. The question is not only what AI can do, but how it can help us think, create, and collaborate more effectively.