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Player Videoplattform-Interface by Suryun Hyeon

Player Videoplattform-Interface by Suryun Hyeon is a highly esteemed winner of the very prestigious 2025 A' Design Award in Bronze in Interface-Design Competition Category.


BronzeInterface· 2025

Player Videoplattform-Interface

by Suryun Hyeon

A' Design Award in Bronze Winner in Interface Category

Colors

The Design

About Player Videoplattform-Interface

Player ist ein Videoplattform-Interface für die Publikumsbeteiligung in der Extended Reality. Auf Player hochgeladene Videos beinhalten Bewegungs- und Tonerfassung, wobei die aufgezeichneten Bewegungen in 3D-Bewegungsdaten umgewandelt werden. Nutzer können die Aktionen eines Videos präzise nachvollziehen und anschließend ihre eigene Version aufnehmen, bearbeiten und teilen. Ein generatives KI-Werkzeug ermöglicht es, Avatare und Hintergründe zu erstellen, sodass eine Teilnahme möglich ist, ohne Gesicht oder Körper zu zeigen. Das Interface ist für am Kopf getragene Extended-Reality-Geräte konzipiert und eignet sich für Aktivitäten wie Tanz oder Konstruktionsaufgaben.

The Recognition

About the A' Design Award in Bronze

Player Videoplattform-Interface ist Gewinner des A' Design Award in Bronze, einer hochprestigeträchtigen Anerkennung für herausragende Designs, die sich durch Kreativität, Einfallsreichtum und Scharfsinn auszeichnen. Bronze-Gewinner sind reichlich geschickte und auffallend kreative Artefakte, die die große Erfahrung, Fantasie und Findigkeit ihrer Designer belegen. Von Player Videoplattform-Interface wird erwartet, dass es ein hochgeschätztes, bewundertes und geliebtes Objekt ist, das bemerkenswert professionell und innovativ ist. Dieses mit dem A' Design Award in Bronze prämierte Design verkörpert bewährte Verfahren in Kunst, Wissenschaft, Design und Technologie und ist hervorragend in seiner Liebe zum Detail. Player Videoplattform-Interface befriedigt Bedürfnisse auf großartige Weise, berührt Wünsche, bezaubert Gefühle und spricht die Neugier an.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
Player redefines video content by enabling audience participation in XR. While traditional platforms limit interaction to "likes" or "comments," Player turns viewers into active participants. It allows users to explore 3D motion data, follow along, and share their actions. With generative AI, users can create avatars and backgrounds, making participation accessible to all. This transforms video enjoyment into an immersive, multidimensional experience.
Dimensions & Packaging
This project focuses on an AR user experience within XR and is designed to be compatible with HUD-type devices. It is expected to function seamlessly on devices like Meta's Quest or Apple's Vision Pro. However, AR glasses in the form of smart glasses may currently face challenges in achieving full technical implementation.
Tags
XR, AR, Video Platform, UI, Interaction, Participant, Play
Production Technology
Videos uploaded to Player include motion and sound tracking. Whether recorded with XR devices or standard cameras, movements within the video are converted into 3D motion data to facilitate easy participation. Additionally, a generative AI-powered UI allows users to create avatars and environments, enabling them to join videos in their desired appearance. This combination of technologies ensures an accessible and personalized experience for all participants.
Design Challenge
The main challenge during the project was developing a method to extract 3D motion data and effectively visualize it. Seeking advice from experts, I learned that motion tracking was feasible and adopted active use of 3D tools, which ultimately allowed for effective representation.
Research
Type of Research: Exploring user video participation possibilities through 3D motion tracking and generative AI in XR environments.
Research Objective: To explore dynamic possibilities where users transform into active participants through modern technological integration.
Methodology: Project functions derived from in-depth user interviews and insight clustering.
Data Collection and Research Tools: Insights gathered through one-on-one in-depth interviews and collective opinions collected via online surveys.
Participants or Experiments: Conducted primarily with Gen-Z users in their teens and twenties.
Results: Most participants acknowledged the increasing trend of video participation but agreed on the limitations of current video platform features. They expressed that generative AI, enabling changes in appearance or environment, would make video participation more engaging and enjoyable. There was also significant demand for customizable avatar and filter features.
Insights and Impacts: Current video platforms, despite their dynamic content and user expectations, offer only limited functionality, rendering video consumption a static activity. Integrating XR features and generative AI could encourage more active participation from viewers.
Business Impacts: Both participants and creators are likely to spend more time on the platform, increasing app engagement and session duration, which would naturally lead to higher ad revenue and other supplementary income. This would improve video quality and user reactions, creating a positive feedback loop.
Real-Life Phenomena: Viewers will no longer consume videos passively through static comments. Instead, they will enjoy watching participation videos that capture how others laugh, cry, or act, making video consumption a more dynamic and engaging experience.
Inspiration
As someone who enjoys video content and wants to join challenges, I often felt burdened by the need to edit videos and hesitant to show my face or body. Following complex actions in videos also proved challenging. To address these struggles and explore new possibilities for enjoyment, I aimed to use generative AI in XR to create a solution. I look forward to a day when everyone, regardless of age or background, can enjoy videos in their own way, with the appearance and actions they choose.
Project Duration
This project commenced in January 2024 in South Korea and was completed in April 2024 in South Korea.
Operation Flow
Users who find a video they want to participate in first set up their desired environment. After customizing their avatar and selecting a background, they can start recording. Utilizing 3D data provided by the video, users can accurately follow actions, including details that are usually hard to notice. This can be applied to dancing, building LEGO, reaction videos, and more. Once recording is complete, users can easily edit their participation and share their experience with others.

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