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Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity

arXiv 2504.02526 ↗First posted 3 Apr 2025cs.HC cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 106 references that are in the map. First posted on arXiv 3 Apr 2025.

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14 of 106 references.

References · 14

  1. 2021Expanding Explainability: Towards Social Transparency in AI systemscited by 124
  2. 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
  3. 2021Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactionscited by 35
  4. 2023A Systematic Review on Fostering Appropriate Trust in Human-AI Interactioncited by 21
  5. 2019An Interaction Framework for Studying Co-Creative AIcited by 19
  6. 2019In a Silent Way: Communication Between AI and Improvising Musicians Beyond Soundcited by 11
  7. 2022Creative Wand: A System to Study Effects of Communications in Co-Creative Settingscited by 9
  8. 2022Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systemscited by 8
  9. 2024Artificial social influence via human-embodied AI agent interaction in immersive virtual reality (VR): Effects of similarity-matching during health conversationscited by 8
  10. 2019Discourse Behavior of Older Adults Interacting With a Dialogue Agent Competent in Multiple Topicscited by 6
  11. 2021Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Programcited by 6
  12. 2023HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine Conversationscited by 6
2 more
  1. 2022Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agentscited by 5
  2. 2024DanceGen: Supporting Choreography Ideation and Prototyping with Generative AIcited by 5

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