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2025

Shape n' Swarm

Hands-on, Shape-aware Generative Authoring with Swarm UI and LLMs

Matthew Jeung, Anup Sathya, Michael Qian, Steven Arellano, Luke Jimenez, Ken Nakagaki

About

We introduce a novel authoring method for swarm user interfaces that combines hands-on shape manipulation and speech to convey intent for generative motion and interaction. We refer to this authoring method as shape-aware generative authoring, which is generalizable to actuated tangible user interfaces. The proof-of-concept Shape n’ Swarm tool allows users to create diverse animations and interactions with tabletop robots by hand-arranging the robots and providing spoken instructions. The system employs multiple script-generating LLM agents that work together to handle user inputs for three major generative tasks: (1) thematically interpreting the shapes created by users; (2) creating animations for the manipulated shape; and (3) flexibly building interaction by mapping I/O. In a user study (n = 11), participants could easily create diverse physical animations and interactions without coding. To lead this novel research space, we also share limitations, research challenges, and design recommendations.

Exhibitions

Axhibition 2025: 'Whimsical Criti...cal'

University of Chicago

South Side Science Festival 2024

University of Chicago

MSI Robotics Exhibit 2024

Robotics Block Party in MSI

AxLab Members

Matthew Jeung

Anup Sathya

Steven Arellano

Luke Jimenez

Ken Nakagaki

Publication
ACM UIST2025

Shape n’ Swarm: Hands-on, Shape-aware Generative Authoring with Swarm UI and LLMs

Matthew Jeung, Anup Sathya, Michael Qian, Steven Arellano, Luke Jimenez, Ken Nakagaki

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