FeedQUAC: Quick Unobtrusive AI-Generated Commentary
Tao Long, Kendra Wannamaker, Jo Vermeulen, George Fitzmaurice, Justin, Matejka

TL;DR
FeedQUAC introduces an AI-powered ambient feedback system that provides real-time, multi-perspective commentary to support designers' creative workflows with minimal disruption.
Contribution
This paper presents FeedQUAC, a novel AI-based system offering quick, unobtrusive feedback from multiple personas to enhance design creativity and workflow integration.
Findings
Designers find AI feedback convenient and inspiring.
Ambient AI feedback boosts designer confidence and creativity.
Participants suggest features like chat and context curation.
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…
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Taxonomy
TopicsTopic Modeling
