论文标题

分散的,未在元评估中被非人性化:通过多模式相互作用将实用程序带到NFT

Decentralized, not Dehumanized in the Metaverse: Bringing Utility to NFTs through Multimodal Interaction

论文作者

Wang, Anqi, Gao, Ze, Lee, Lik-Hang, Braud, Tristan, Hui, Pan

论文摘要

NFTS(无杀菌令牌)的用户互动正在越来越注意。尽管NFT是传统上是单一的单一和整体化的,但最近的应用旨在将多模式相互作用与人类行为联系起来。本文回顾了NFT艺术中相关的技术方法和商业实践。我们强调说,多模式互动是主流NFT艺术中当前研究的问题,并且猜想多模式互动是NFT社区分散的至关重要的推动者。我们提出了一个将自下而上方法与AI多模式过程相结合的框架。通过此框架,我们将人类行为数据集成到生成的NFT单元中,为“多模式互动NFT”。我们的作品显示了艺术界NFT的可能性,超出了传统的2D和3D静态内容。

User Interaction for NFTs (Non-fungible Tokens) is gaining increasing attention. Although NFTs have been traditionally single-use and monolithic, recent applications aim to connect multimodal interaction with human behaviour. This paper reviews the related technological approaches and business practices in NFT art. We highlight that multimodal interaction is a currently under-studied issue in mainstream NFT art, and conjecture that multimodal interaction is a crucial enabler for decentralization in the NFT community. We propose a framework that combines a bottom-up approach with AI multimodal process. Through this framework, we put forward integrating human behaviour data into generative NFT units, as "multimodal interactive NFT". Our work displays the possibilities of NFTs in the art world, beyond the traditional 2D and 3D static content.

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