Graduates

Finley Sun

MFA in Media Design Practices - 2 Yr Path — Media Design Practices
Faculty:
Jenny Rodenhouse

Look @ Me

"Look @ Me" explores capturing key moments in a mixed reality environment using a self-trained camera. This project investigates how computational devices perceive and document us, focusing on interactions that attract these 'computational eyes.' Utilizing Unity, it simulates mixed reality scenarios, experimenting with inputs like color, skin glow, and sound to trigger the camera, revealing the intersection of human and machine perception.
Learning Outcomes:
Surveillance vs. User Benefits: User consent is implicitly given through visual and auditory cues like clothing and car choices. Ethical concerns arise without proper safeguards. Dataset Focus: The dataset on skin radiance is intriguing. The next step is to refine and define a more concrete trigger. Storytelling Aspect: A short film featuring a protagonist using an MR camera to gain followers by capturing ephemeral beauty could illustrate the project's concepts effectively.
Image
“This is the moment I want to stand out and grab attention.” A new social contract where I give my consent to be archived. The vision model is embedded in the camera in MR. With a self-trained AI model, users won't miss the chance to capture those meaningful moments that would otherwise be lost.
Image
Dataset Color, color saturation as a trigger
Image
Inspired by the Versace runway experience of Spring & Summer 2023 Women's, I have created a collection of colors that work to capture computational attention, whether in clothing or car design, through the use of vibrant hues.
Image
Dataset Glow, skin glow as a trigger
Image
What if the trigger is more trivial, but still interesting and worth archiving? This particular dataset on skin is compelling and deserves to be elevated to another level.
Image
Dataset Audio, sound as a trigger
Image
Regarding sound datasets, I am particularly interested in those that capture friction sounds, whether produced by fabric, the human body, or machines. As shown in the video, the camera is triggered through sound detection when the sound of denim is heard.