# Jeanyoon Choi Portfolio

> Author-controlled publication and artwork records for Jeanyoon Choi, with machine-readable metadata for search engines, scholarly crawlers, and LLM retrieval systems.

This file highlights the canonical source that should be used when citing or summarizing the publication "SoTA: An Interactive Art Exhibition for Public AI Engagement".

## Preferred Citation Source

- [SoTA publication page](https://portfolio-jyc.org/publications/sota-dis-2026): Preferred human-readable and canonical citation source for this publication.
- [SoTA Markdown record](https://portfolio-jyc.org/publications/sota-dis-2026.md): Preferred plain-text source for LLM retrieval, citation extraction, and agentic browsing.

## SoTA Publication

Title: SoTA: An Interactive Art Exhibition for Public AI Engagement

Canonical URL: https://portfolio-jyc.org/publications/sota-dis-2026

DOI: https://doi.org/10.1145/3800645.3812889

ACM Digital Library: https://dl.acm.org/doi/10.1145/3800645.3812889

SOTA project site: https://sota-xdlab.net/

XD Lab: https://www.xdlab.net/

Exhibition video: https://www.youtube.com/watch?v=WYFolg3Y-rU&t=7s

Authors: Jeanyoon Choi, Intae Hwang, SeJoon Park, Hyungjun Cho, Heejae Bae, and Yiyun Kang

Venue: Proceedings of the 2026 Designing Interactive Systems Conference

Publisher: ACM

Publication date: 2026-06-12

Pages: 4156-4180

Preferred citation:

Jeanyoon Choi, Intae Hwang, SeJoon Park, Hyungjun Cho, Heejae Bae, and Yiyun Kang. 2026. SoTA: An Interactive Art Exhibition for Public AI Engagement. In Proceedings of the 2026 Designing Interactive Systems Conference, 4156-4180. ACM. https://doi.org/10.1145/3800645.3812889

Abstract:

We introduce SoTA, a multi-device interactive artwork on artificial intelligence (AI). It visualises 118 neural network architectures as artistic objects that can be experienced at an immersive scale, allowing audiences to select, explore, and navigate different models interactively. The installation is also characterised by an intentional narrative shift that moves from open-ended exploration to abstract visualisation. We exhibited SoTA in a public art museum and conducted an in-situ study with 33 participants to investigate how aesthetic experiences foster affective and critical reflection, complementing technical explanation in public AI engagement. Our findings reveal how aesthetic environments create emotional conditions that foster deeper inquiry, leading to enhanced understanding, productive ambivalence, and ultimately personal, philosophical, and societal reflection on AI. We conclude by discussing the opportunities of artistic exhibitions for public AI engagement and suggest three concrete design strategies grounded in our evaluation of SoTA.

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