Beyond Automation: How Designers Perceive AI as a Creative Partner in the Divergent Thinking Stages of UI/UX Design

Research Background and Issues

• Issues or Challenges: The authors identified a significant research gap in understanding how artificial intelligence (AI) supports the divergent thinking phase in UI/UX design. Current studies largely focus on AI's role in automating design tasks, while specific practices for supporting divergent thinking remain underexplored. Although the role of AI tools in design iteration and early ideation phases has been studied, their application to divergent thinking is insufficiently addressed.
• Importance of the Issue: Divergent thinking is a critical driver of innovation and creativity, particularly in UI/UX design. It enables designers to explore multiple possibilities from an initial problem state and break away from conventional thinking patterns. This is crucial for addressing the tension between rapid technological advancements and the constraints on design innovation.
• Research Motivation and Related Work:
  • Previous studies have explored how AI can improve design efficiency, support design tasks, and even act as a creative collaborator (e.g., enhancing diversity and innovation in design education).
  • Commercial AI tools such as ChatGPT, MidJourney, and Figma’s AI plugin Automator have gained popularity in the UI/UX design domain. However, their effectiveness in supporting divergent thinking and designers’ experiences with these tools have not been thoroughly investigated.
  • The primary goal of this study is to bridge the research gap in AI support for divergent thinking by analyzing designers’ current practices and experiences with AI tools and proposing recommendations for the future design of AI tools.

Solutions

• Methods and Solutions:

  • This study employed semi-structured interviews with 19 professional designers with extensive UI/UX design experience to examine how they use AI as a creative partner during the divergent thinking phase.
  • The analysis focused on designers’ current practices, the role of AI in supporting divergent thinking, and designers’ visions and needs for AI tools.

• Innovations:

  • The study identified four key roles of AI in supporting designers during divergent thinking: aiding research, generating numerous initial ideas, creating alternative design options, and refining prototype details for feedback collection—roles that have not been systematically explored in existing research.
  • It highlighted designers’ strong desire to retain creative control and proposed specific recommendations for how AI can balance efficiency with the facilitation of creativity, challenging the traditional emphasis on automation.

• Implementation Steps and Key Techniques:

  • Recruit designers with diverse backgrounds and experiences to participate in interviews, exploring their specific practices and use of AI tools.
  • Apply thematic analysis to code and analyze interview data, summarizing designers’ needs and the current performance of AI in supporting divergent thinking.
  • Categorize and analyze the ideal functionalities of AI tools, including support for exploring multiple versions, understanding contextual needs, facilitating team collaboration, and flexibly adjusting creative details.

Research Outcomes

• Specific Findings:

  • Identified key practices of designers during the divergent thinking phase, including research and discovery, inspiration and idea generation, and iterative exploration through low- and high-fidelity prototypes.
  • Summarized the current applications of AI tools in research, inspiration, creative idea generation, and prototype refinement, while pointing out deficiencies in quality customization, user control, and interface design.
  • Proposed four core demands designers have for AI tools: retaining creative control, supporting team collaboration, enhancing efficiency to free up creativity, and moving beyond text-based interaction methods.

• Comparison with Existing Solutions and Advantages:

  • Unlike existing research, which primarily focuses on the efficiency and automation of design tools, this study expands on AI’s role in fostering creativity and divergent thinking, proposing a comprehensive and designer-friendly AI support framework.
  • It emphasizes that AI tools are not merely time-saving mechanisms but are intended to liberate designers’ mental space, enabling them to focus on design exploration and innovation.

• Experimental or Evaluation Results:

  • Designers widely use AI tools for early exploration, content generation, and prototype creation, which helps them iterate quickly and gain creative inspiration.
  • Designers expressed dissatisfaction with current interaction modes, such as text-based input prompts, and called for more intuitive, visual interaction methods.

• Limitations and Future Directions:

  • The geographic scope is limited to North America and Asia, potentially overlooking design cultural or regional differences. Future research should expand to other regions.
  • The data focuses on experienced designers, lacking attention to beginners and students, whose needs when learning and applying AI tools may differ from those of professional designers.
  • Given the rapid development of AI technology, this study may not fully capture future advancements in the integration of technology into design practices. Continuous monitoring of technological progress in this field is necessary.

This study systematically addresses the research gap in AI support during the divergent thinking phase and provides practical recommendations, laying a foundation for future research in the field of AI and design interaction.