ʻO Player Ke Ana Hoʻopuka Wikiō na Suryun Hyeon he mea lanakila hanohano loa o ka 2025 A' Design Award Keleawe ma ka Māhele Hoʻokūkū Hoʻolālā Pilina, Launa a me ʻIke Mea Hoʻohana.
KeleawePilina· 2025
Player Ke Ana Hoʻopuka Wikiō
na Suryun Hyeon
Mea Lanakila A' Design Award Keleawe ma ka Māhele Pilina
Mea Lanakila i Hōʻoia ʻIa
Hōʻoia i ke Kūlana Makana no #167229Ka Hoʻolālā
E Pili Ana iā Player Ke Ana Hoʻopuka Wikiō
He ana hoʻopuka wikiō ʻo Player no ke komo ʻana o ka poʻe nānā i ka ʻoiaʻiʻo hoʻonui. ʻO nā wikiō i hoʻouka ʻia i loko o Player, loaʻa i loko ona ke alualu ʻōnaehana a me ke kani, a ua hoʻohuli ʻia nā neʻe i kāhi ʻikepili neʻe 3D. Hiki i nā mea hoʻohana ke hahai pololei i nā hana o kekahi wikiō, a laila hoʻopaʻa, hoʻoponopono, a kaʻana like i kā lākou ʻano ponoʻī. Hāʻawi ʻia kekahi mea hana AI hoʻohua e hiki ai i nā mea hoʻohana ke hana i nā avatar a me nā papahele, no laila hiki ke komo me ka hōʻike ʻole ʻana i ka maka a i ʻole ke kino. Ua hoʻolālā ʻia ke ana no nā polokalamu ʻoiaʻiʻo hoʻonui i hoʻokomo ʻia ma ke poʻo, a kūpono nō hoʻi ia no nā hana e like me ka hula a me nā hana kūkulu.
Ka Hoʻomaikai
E Pili Ana i ka A' Design Award Keleawe
Ua lanakila ka hoʻolālā Player Ke Ana Hoʻopuka Wikiō i ka A' Design Award Keleawe, he ʻike hoʻohanohano nui loa i hāʻawi ʻia i nā hoʻolālā kūʻokoʻa i ʻike ʻia ma o ka hana noʻeau, ka akamai a me ka makakoho. He mau hana mākaukau a hana noʻeau kupaianaha nā lanakila Keleawe e hōʻoia ana i ka ʻike nui, ka noʻonoʻo a me ka maʻalea o kā lākou poʻe hoʻolālā. Manaʻo ʻia ʻo ka hoʻolālā Player Ke Ana Hoʻopuka Wikiō he mea i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia, he ʻoihana a hou loa. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Keleawe e hoʻohui ana i nā hana maikaʻi loa o ka hana noʻeau, ka ʻepekema, ka hoʻolālā a me ka ʻenehana, a maikaʻi no kona nānā ʻana i nā kikoʻī. Hoʻokō maikaʻi ka hoʻolālā Player Ke Ana Hoʻopuka Wikiō i nā pono, hoʻopā i ka makemake, hoʻohiwahiwa i nā manaʻo a huki i ka makemake e ʻike.
Ma Hope o ka Hoʻolālā
ʻEke Nūhou
Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.
- Nā ʻAno Kūʻokoʻa
- 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.
- Nā Ana a me ka Hoʻopili
- 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.
- Nā Lepili
- XR, AR, Video Platform, UI, Interaction, Participant, Play
- ʻEnehana Hana
- 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.
- Pilikia Hoʻolālā
- 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.
- Noiʻi
- 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. - Hoʻoulu Manaʻo
- 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.
- Ka Lōʻihi o ka Papahana
- This project commenced in January 2024 in South Korea and was completed in April 2024 in South Korea.
- Kaʻina Hana
- 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.
Kākoʻo ʻIa
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Nā Hoʻolālā Pili
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