FeedQUAC: Quick Unobtrusive AI-Generated Commentary

2025-04-23

AI Summary

Efficiently obtaining low-interruption feedback during design remains challenging due to the tension between interaction efficiency and user experience. To address this, we propose FeedQUAC—a lightweight design companion featuring an ambient, multi-role AI persona collaboration framework. Leveraging multi-persona prompt engineering, FeedQUAC deploys a compact LLM to deliver context-aware, real-time, non-intrusive feedback seamlessly embedded within design tools. We conducted an eight-participant user study using ambient interface design and design probe methods. Results demonstrate statistically significant improvements in design convenience (p < 0.01), inspiration generation, and self-efficacy, validating both the effectiveness and high acceptability of ambient AI feedback in authentic creative workflows. This work advances human–AI co-creation paradigms in creativity support systems by redefining interactive feedback as ambient, role-aware, and workflow-integrated.

Technology Category

• Humans and AI: Intelligent User Interfaces
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Intelligent Robots: Embodied AI

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Economics, Online Markets and Human Computation: Uses of LLMs and GenAI for marketplace design, bidding, and strategic interactions

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.

Problem

• AI provides effortless ambient feedback in design
• FeedQUAC offers real-time multi-perspective AI commentary
• Balancing AI feedback with user involvement in workflows

Innovation

• Real-time AI-generated commentary from personas
• Lightweight ambient feedback for creative workflows
• Balancing user involvement with AI integration