Fine-Tuning Human Sense 1.0 2023
Fine-Tuning Human Senses 1.0 from the Sensory Datascape Series
Fine-tuning-HumanSenses 1.0 showcase / iipad 3, electronics, speaker, 3D printing, sound, Ai Model,Sound algorithm, mixed media ZER01NE (Hyundai Motors) / 2023
Fine-Tuning Human Senses 1.0 / 2023
Hoonida Kim’s project highlights, through the use of digital prosthetics and deep learning, the expansion and degradation of human senses brought by digital media. “Fine-Tuning Human Senses1.0” is an invitation to take part in a new mode of sensory thinking as we move throughout everyday streets. The project uses ‘Datascape’, a wearable environmental perception Apparatus of Kim’s own design, here newly enhanced with camera vision and deep learning to experiment with more detailed object recognition and multi layered sensory perception. An Al model responds when the viewer blinks, ‘fine-tuning’ real life objects in real time, transforming them into visual and auditory experiences. This transformative process invites us to think on the multitudes contained within contemporary sensory perception environments, suggesting new modes of perception of our current digital environment, and perhaps a fresh awareness of the changes our sensory organs themselves may be undergoing due to technology. Exploring how our senses and the perception of the world through them have been reconfigured in our technological environment, Kim raises questions about whether our acquisition of information remains voluntary and autonomous.
Description of the Interaction process
Spectators navigate and perceive the space using computer vision while equipped with the Apparatus. They can recognize the spatial depth and object silhouettes, though details may appear as mere noise. This parallels how babies initially perceive objects and the world around them, as the synapses in their brains are not yet properly connected. Newborns do not immediately discern the shape, color, and other attributes of objects; they refine their perception through continuous observation and interaction. When spectators wish to explore something further with the Apparatus, they can pause, focus, and begin blinking. The AI will undergo real-time training based on spectators’ blinks. As the AI learns from the spectators’ attention and blinks, the objects are fine-tuned in real-time to clearer images and sounds.
Credits
Director, Production, Sound algorithm composition / Hoonida Kim
Ai & Vision Recognition Programming / Park Jae Hyeon
Structure / Choi Jong Eon
Project Manager / Woo Heeseo
Dramaturgy / Shin Yeasul
Technical Assistant / Moon Sung Yun , Dasol Jung
Special thanks Videographer / Jeong gil woo, Audio fx, Mix & Mastered / Go Dam, Ku Yena
Support ZER01NE (Hyundai Motors)
© 2023 HOONIDAKIM