论文标题

部分可观测时空混沌系统的无模型预测

ESSYS* Sharing #UC: An Emotion-driven Audiovisual Installation

论文作者

Rebelo, Sérgio M., Seiça, Mariana, Martins, Pedro, Bicker, João, Machado, Penousal

论文摘要

我们介绍Essys*共享#UC,这是一种视听安装艺术品,它反映了与大学和科伊米布拉市有关的情感环境,它基于在Twitter上共享的数据。该装置是在2021年夏季和秋季的CírculoDeartesplásticasde Coimbra的城市美术馆中介绍的。在安装空间中,人们可能会看到一系列印刷海报,显示了推文并听取了不断变化的环境声音。当前的视听是由自主计算创造性方法创建的,该方法采用神经分类器来识别推文的情感环境,并将结果数据用作视听生成的原料。该安装的空间旨在促进一种方法和在同一位置的在线和物理看法之间进行融合。我们采用了多个实验,采用了建议的方法来评估能力和性能。此外,我们进行了基于访谈的评估会议,以了解人们如何在其他商业和社交场景中就多样性,表现力以及可能的就业来体验安装元素,尤其是海报设计。

We present ESSYS* Sharing #UC, an audiovisual installation artwork that reflects upon the emotional context related to the university and the city of Coimbra, based on the data shared about them on Twitter. The installation was presented in an urban art gallery of Círculo de Artes Plásticas de Coimbra during the summer and autumn of 2021. In the installation space, one may see a collection of typographic posters displaying the tweets and listening to an ever-changing ambient sound. The present audiovisuals are created by an autonomous computational creative approach, which employs a neural classifier to recognize the emotional context of a tweet and uses this resulting data as feedstock for the audiovisual generation. The installation's space is designed to promote an approach and blend between the online and physical perceptions of the same location. We applied multiple experiments with the proposed approach to evaluate the capability and performance. Also, we conduct interview-based evaluation sessions to understand how the installation elements, especially poster designs, are experienced by people regarding diversity, expressiveness and possible employment in other commercial and social scenarios.

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