设计师 Suryun Hyeon 的作品 Player 视频平台界面荣获了极具声望的 2025 A' Design Award 铜奖，竞赛类别为界面、交互与用户体验设计。

铜界面· 2025

Player 视频平台界面

设计师： Suryun Hyeon

界面类别A' Design Award 铜奖获奖者

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关于 Player 视频平台界面

Player 是一款面向扩展现实中观众参与的视频平台界面。上传至 Player 的视频包含动作与声音追踪，所记录的动作会被转换为三维动作数据。用户可以精准跟随视频中的动作，随后录制、编辑并分享自己的版本。生成式人工智能工具让用户能够创建虚拟形象与背景，因此无需露出面部或身体也可参与。该界面专为头戴式扩展现实设备设计，适用于舞蹈、搭建任务等活动。

荣誉认可

关于A' Design Award 铜奖

Player 视频平台界面是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Player 视频平台界面将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Player 视频平台界面出色地满足需求，触动渴望，迷住情感，并吸引好奇心。

设计幕后

媒体资料包

由设计师提供的致谢、团队成员及技术详情。

独特属性: 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.
尺寸与包装: 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.
标签: XR, AR, Video Platform, UI, Interaction, Participant, Play
生产技术: 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.
设计挑战: 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.
研究: 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.
灵感: 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.
项目周期: This project commenced in January 2024 in South Korea and was completed in April 2024 in South Korea.
操作流程: 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.