FeedQUAC: Quick Unobtrusive AI-Generated Commentary
April 23, 2025 Β· Declared Dead Β· π International Conference on Human-Agent Interaction
"No code URL or promise found in abstract"
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Authors
Tao Long, Kendra Wannamaker, Jo Vermeulen, George Fitzmaurice, Justin Matejka
arXiv ID
2504.16416
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CY,
cs.MM
Citations
2
Venue
International Conference on Human-Agent Interaction
Last Checked
4 months ago
Abstract
Design thrives on feedback. However, gathering constant feedback throughout the design process can be labor-intensive and disruptive. We explore how AI can bridge this gap by providing effortless, ambient feedback. We introduce FeedQUAC, a design companion that delivers real-time AI-generated commentary from a variety of perspectives through different personas. A design probe study with eight participants highlights how designers can leverage quick yet ambient AI feedback to enhance their creative workflows. Participants highlight benefits such as convenience, playfulness, confidence boost, and inspiration from this lightweight feedback agent, while suggesting additional features, like chat interaction and context curation. We discuss the role of AI feedback, its strengths and limitations, and how to integrate it into existing design workflows while balancing user involvement. Our findings also suggest that ambient interaction is a valuable consideration for both the design and evaluation of future creativity support systems.
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