论城市轨迹:算法移动性和大气导航

A. Brighenti, A. Pavoni
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引用次数: 3

摘要

在这篇文章中,我们引入了“大气文化”的概念,作为一种概念工具来分析由数字算法支持和制定的新形式的移动。从历史的角度来看,我们分析了现代性如何创造了一个运动空间,在这个运动空间中,在一个日益“流离失所”的城市空间中寻找出路的问题首次出现,并产生了明显的心理社会后果。作为这种空间想象的延续,我们重构了新的数字媒体,试图放大数字算法促进的移动形式。我们建议,城市数字导航与城市体验的重新定位同步进行,以考虑大气因素,最大限度地提高用户与环境接触的安全性和愉悦感。在这种背景下,大气呈现出一种空间美学、心理文化和生物技术环境,为方便的导航准备空间。我们讨论了一些后果:首先是分散效应,即受试者将一些感知和决策委托给算法,剥夺了主观性自然解决问题的方面;其次,由于算法本身的偏见,城市空间的无形转变;第三,紧张的,甚至是矛盾的结果的氛围期望,即一个安全和愉快的环境互动的目标被所提供的信息量和警觉性的水平要求的用户取消。
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On urban trajectology: algorithmic mobilities and atmocultural navigation
ABSTRACT In this piece, we introduce the notion of ‘atmoculture’ as a conceptual tool to analyse the new forms of mobility supported and enacted by digital algorithms. In historical perspective, we analyse how modernity has created a movement-space where the problem of finding one's way through an increasingly ‘displaced’ urban space first emerged, with noticeable psycho-social consequences. Reconstructing the new digital media as a continuation of this spatial imagination, we seek to zoom in on the forms of mobility facilitated by digital algorithms. Urban digital navigation, we suggest, proceeds in parallel with a reorientation of the urban experience towards atmospheric considerations, maximizing safety and pleasure in the user's encounters with the environment. In this context, atmoculture appears a spatial-aesthetic, psycho-cultural, and bio-technological milieu that prepares space for convenient navigation. We discuss a number of consequences: first the disburdening effect, whereby subjects delegate to a number of perceptions and decisions to algorithms, expropriating the natural problem-solving aspect of subjectivity; second, the invisible transformations of urban space due to the biases that are built in algorithms themselves; third, the tensional, even contradictory outcomes of atmocultural expectations, whereby the goal of a secure and pleasant environmental interaction is undone by the very quantity of information provided and the level of alertness required from the user.
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
18
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