#installation

“I’M FINE.”

2023 | 20 iPads. 20 pre-rendered videos. 8-channel fixed media for Wave-field-synthesis.

This audiovisual installation evokes Asian women’s concerns about public safety — unspoken fear and anxiety. “How are you?” “I’m fine.” The underlying message of “I’M FINE” conveys unspeakable distresses, helplessness, and silent clamor. Asian women are depicted as “exotic, erotic, and submissive” by the mainstream media and public, revealing ethnic and gender stereotypes as a social phenomenon and hyper-sexualization. They are particularly vulnerable to verbal and physical threats, sexual harassment, and violence. In this installation, each screen can be a window to peer through and an outlet to convey messages. The silence is collapsed and can be shattered – Asian women’s voices will be dissected, re-constructed, and re-presented in a political and historical context.


MetaPersonæ_Archetype-2.0


Project leader: Fiona Xue Ju
Director / Sound designer / Curator : Fiona Xue Ju
Visual, AR and 3D designer: Luba Liubvina

“Never Mind.”

2024 | Interactive Audio-Visual Installation

Exhibition time: 14:30-15:30 (CT), April 6th, 2024.
Location: XR studio, Digital Media Center, LSU, Baton Rouge, LA, USA.

Project Leader and Art Director: Fiona Xue Ju
Data Engineering and co-worker: Vyri Yang
Unreal Engine Developer: Shae Duyen Hoang, Rainn Jackson, Fiona Xue Ju
Sound Design, Interactive Design, and Arduino Coding: Fiona Xue Ju
UE Environment Design and 3D Modeling: Rainn Jackson
Visual Design and UE Effect: Shae Duyen Hoang

This installation explores the emotional and psychological impact of cyberbullying by transforming abusive digital content into a tangible, interactive experience. A silicone mannequin head symbolizes the “face” of online harassment, inviting audiences to engage with it by touching or squeezing specific areas such as the eyes, mouth, or neck. Each interaction triggers the display of keywords and visual elements that correspond to the categories of cyberbullying, including humiliation, sexual and gender-based abuse, and other forms of harassment. The intensity of the audience’s physical actions, detected by pressure sensors, dynamically reveals the frequency and weight of these keywords based on data sourced from Twitter, creating a visceral connection between touch and the exposure of harmful online content.


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