AI as Friction for Reflection Support in Ideation
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Abstract (arXiv)
Generative AI tools for creative work tend to be designed around the goal of removing friction, on the assumption that smoother iteration and faster output translate into more value for the designer. We argue, however, that this framing leaves out something important about how design ideation works, namely reflection-in-action. The act of accepting, rejecting and reworking candidate ideas is both a path to a final outcome and the process through which designers develop the rationale that allows them to think with their ideas and to communicate them to others. This becomes particularly important in group ideation, where ideas need to be expressed and explained to others to allow the group to extend, reject or combine them further. We suggest that AI in design ideation might be more usefully thought of as a friction agent for reflection rather than as a smoothing agent for output. This reframing opens up a different role for AI in design ideation, one that supports designers in building and carrying rationale rather than substituting for it.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 22 references that are in the map. First posted on arXiv 29 Jul 2026.
Builds on
3 of 22 references.
References · 3
- 2024Exploring a Behavioral Model of "Positive Friction" in Human-AI Interactioncited by 9
- 2024Pinning "Reflection" on the Agenda: Investigating Reflection in Human-LLM Co-Creation for Creative Codingcited by 3
- 2026Reviving Reflection-in-Action: Instilling Designerly Thinking in AI-Supported Ideation through Multimodal Promptingcited by 1
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