Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity
Jeba Rezwana, Corey Ford
TL;DR
This work tackles the challenge of ineffective AI communication in human-AI co-creativity by introducing FAICO, a framework distilled from a systematic review of 107 papers. FAICO identifies six key dimensions—modalities, response mode, timing, communication type, explanation details, and tone—and links each to user experience, guiding designers and users through practical translations into design cards and a configuration tool. The contributions include a structured framework for designing, implementing, and evaluating AI communication in co-creative contexts, plus tangible tools to adapt AI communication to diverse users and workflows. The framework aims to improve engagement, trust, and collaboration by enabling more human-centered, context-aware AI partners in co-creative activities.
Abstract
How AI communicates with humans is crucial for effective human-AI co-creation. However, many existing co-creative AI tools cannot communicate effectively, limiting their potential as collaborators. This paper introduces our initial design of a Framework for designing AI Communication (FAICO) for co-creative AI based on a systematic review of 107 full-length papers. FAICO presents key aspects of AI communication and their impacts on user experience to guide the design of effective AI communication. We then show actionable ways to translate our framework into two practical tools: design cards for designers and a configuration tool for users. The design cards enable designers to consider AI communication strategies that cater to a diverse range of users in co-creative contexts, while the configuration tool empowers users to customize AI communication based on their needs and creative workflows. This paper contributes new insights within the literature on human-AI co-creativity and Human-Computer Interaction, focusing on designing AI communication to enhance user experience.