Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systems

Generative AI (Text, Image, Music, Video)AI-Assisted Creative WritingCreative Collaboration & Feedback SystemsMusicians, DJs & Sound DesignersUI/UX Designers

Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In a creative collaboration, communication is an essential component among collaborators. In many existing co-creative systems, users can communicate with the AI, usually using buttons or sliders. Typically, the AI in co-creative systems cannot communicate back to humans, limiting their potential to be perceived as partners rather than just a tool. This paper presents a study with 38 participants to explore the impact of two interaction designs, with and without AI-to-human communication, on user engagement, collaborative experience and user perception of a co-creative AI. The study involves user interaction with two prototypes of a co-creative system that contributes sketches as design inspirations during a design task. The results show improved collaborative experience and user engagement with the system incorporating AI-to-human communication. Users perceive co-creative AI as more reliable, personal, and intelligent when the AI communicates to users. The findings can be used to design effective co-creative systems, and the insights can be transferred to other fields involving human-AI interaction and collaboration.

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https://hci.top/en/papers/cc/83018/2022

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DOI: https://doi.org/10.1145/3527927.3532789
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Source
C&C
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Year
2022
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2 authors
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Subtopics
Generative AI (Text, Image, Music, Video), AI-Assisted Creative Writing, Creative Collaboration & Feedback Systems
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Musicians, DJs & Sound Designers, UI/UX Designers
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Abstract only
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