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Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga by Suryun Hyeon

Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga by Suryun Hyeon is a highly esteemed winner of the very prestigious 2025 Abaalmarinta Naxaasta ah ee A' Design Award in Naqshadeynta Isdhexgalka, Iskaashiga iyo Waayo-aragnimada Isticmaalaha Competition Category.


NaxaasIsdhexgal· 2025

Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga

by Suryun Hyeon

Abaalmarinta Naxaasta ah ee A' Design Award Winner in Isdhexgal Category

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Verified Award Winner

Verify Award Status for #167229

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The Design

About Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga

Qoraalka Buugga: Player waa interfeys barxad fiidiyow ah oo loogu talagalay ka qaybgalka dhagaystayaasha ee dhabta ka sarraysa (extended reality). Fiidiyowyada lagu soo geliyo Player waxaa ku jira dabagalka dhaqdhaqaaqa iyo codka, dhaqdhaqaaqyada la duubaana waxaa loo beddelaa xog dhaqdhaqaaq 3D ah. Isticmaalayaashu waxay si sax ah u raaci karaan ficillada fiidiyow, ka dibna waxay duubi karaan, tafatiri karaan, oo la wadaagi karaan noocooda gaarka ah. Qalab AI ah oo wax-abuura ayaa u oggolaanaya isticmaalayaasha inay abuuraan avatarro iyo asalka gadaal ka jira, sidaas darteed ka qaybgalku waa suurtagal iyada oo aan la muujin wejiga ama jidhka. Interfeesku waxaa loogu talagalay qalabka dhabta ka sarraysa ee madaxa lagu xidho, waxaana ku habboon hawlaha sida qoob-ka-ciyaarka iyo hawlaha dhismaha.

The Recognition

About the Abaalmarinta Naxaasta ah ee A' Design Award

Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga waa guuleystaha Abaalmarinta Naxaasta ah ee A' Design Award, aqoonsi sharaf sare leh oo la siiyo naqshado aan caadi ahayn oo lagu garto hal-abuur, hal-abuur cusub iyo caqli. Guuleystayaasha Naxaasta waa shaqooyin xirfad buuxda leh iyo hal-abuur yaab leh oo xaqiijiya khibrad weyn, male-awaal iyo kartida naqshadeeyayaashooda. Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga waa walax la filayo inay noqoto mid aad loo tixgeliyo, la ixtiraamo oo la jecel yahay, xirfad cad leh oo hal-abuur cusub leh. Naqshadahan ku guuleystay Abaalmarinta Naxaasta ah ee A' Design Award wuxuu ku darsadaa hab-dhaqanno ugu wanaagsan farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada wuxuuna ku fiican yahay dhawrista tafaasiisha. Player Shaqada Ugu Weyn: Interfeesyada Barxadda Fiidiyowga si fiican ayay u buuxisaa baahiyaha, taabataa rabitaannada, soo jiidataa dareenka kicinayaanna xiisaha aqoonta.

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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Good Design Deserves Great Recognition

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