MnemoMaker is an interactive system enabling learners to co-create personalized verbal and visual mnemonics with AI assistance. Through iterative design with 87 participants across three phases, we found that likeability strongly predicts perceived memorability (R2 = .588, p < .001), with effective mnemonics characterized as creative, imaginable, and emotionally engaging. Users reported strong ownership over AI-assisted creations (5.20/7) despite attributing them nearly equally to themselves and the system (3.54 on a 1-7 scale from “system's contributions” to “my contributions”). How people engage with AI, not just what they create, shapes their sense of agency. Our demo invites CHI attendees to create vocabulary mnemonics in any language and discover their collaboration style (e.g., as Creators, Curators, Negotiators, Acceptors, or something in between). A live dashboard visualizes collaboration patterns across all attendees, turning individual experiences into collective insight about human-AI co-creation.
MnemoMaker: Creator, Curator, or Something Else? Exploring Human-AI Mnemonic Co-Creation / O. Seow, E.S. - In: CHI EA '26 / [a cura di] N. Oliver, D.A., Shamma, H. Candello, P. Cesar, P. Lopes, V. F. Artizzu, Draxler, G. Lopez, A.V. Reinschluessel, X. Tong, P.O. Toups Dugas. - [s.l] : Association for Computing Machinery (ACM), 2026. - ISBN 9798400722813. - pp. 1-5 (( Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems : April, 13th - 17th Barcelona 2026 [10.1145/3772363.3799137].
MnemoMaker: Creator, Curator, or Something Else? Exploring Human-AI Mnemonic Co-Creation
E. SajnoSecondo
;
2026
Abstract
MnemoMaker is an interactive system enabling learners to co-create personalized verbal and visual mnemonics with AI assistance. Through iterative design with 87 participants across three phases, we found that likeability strongly predicts perceived memorability (R2 = .588, p < .001), with effective mnemonics characterized as creative, imaginable, and emotionally engaging. Users reported strong ownership over AI-assisted creations (5.20/7) despite attributing them nearly equally to themselves and the system (3.54 on a 1-7 scale from “system's contributions” to “my contributions”). How people engage with AI, not just what they create, shapes their sense of agency. Our demo invites CHI attendees to create vocabulary mnemonics in any language and discover their collaboration style (e.g., as Creators, Curators, Negotiators, Acceptors, or something in between). A live dashboard visualizes collaboration patterns across all attendees, turning individual experiences into collective insight about human-AI co-creation.
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