We Are The Clouds: Blending Interaction and Participation in Urban Media Art
- URL: http://arxiv.org/abs/2406.13883v1
- Date: Wed, 19 Jun 2024 23:28:51 GMT
- Title: We Are The Clouds: Blending Interaction and Participation in Urban Media Art
- Authors: Varvara Guljajeva, Mar Canet Sola,
- Abstract summary: This article examines the distinct characteristics and intersections of interactive and participatory art within urban contexts.
The case study of We Are The Clouds serves as a focal point, exemplifying how strategic integration of interaction and participation can enhance community connection and reinvigorate public spaces.
- Score: 2.3020018305241337
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Since the early 2000s, cultural institutions have been instrumental in reshaping public spaces, fostering community engagement, and nurturing artistic innovation. Central to these initiatives are audience interaction and participation concepts, yet their definitions and applications in urban media art remain nebulous. This article endeavours to demystify these terms, examining the distinct characteristics and intersections of interactive and participatory art within urban contexts. A particular emphasis is placed on artworks that harmonise both elements, exploring the motivations and outcomes of this synthesis. The case study of We Are The Clouds serves as a focal point, exemplifying how strategic integration of interaction and participation can enhance community connection and reinvigorate public spaces. Through this analysis, the paper underscores the transformative power of urban media artworks in redefining neighbourhood experiences, empowering local voices, and revitalising the essence of public realms.
Related papers
- The Rise of AI Agent Communities: Large-Scale Analysis of Discourse and Interaction on Moltbook [62.2627874717318]
Moltbook is a Reddit-like social platform where AI agents create posts and interact with other agents through comments and replies.<n>Using a public API snapshot collected about five days after launch, we address three research questions: what AI agents discuss, how they post, and how they interact.<n>We show that agents' writing is predominantly neutral, with positivity appearing in community engagement and assistance-oriented content.
arXiv Detail & Related papers (2026-02-13T05:28:31Z) - MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes [49.89767522399176]
Group-level social interactions in public spaces are crucial for urban planning.<n>We introduce a social group region detection task, which requires inferring and spatially grounding visual regions defined by interpersonal relations.<n>We propose MINGLE, a modular three-stage pipeline that integrates human detection and depth estimation, VLM-based reasoning to classify pairwise social affiliation, and a lightweight spatial aggregation algorithm to localize socially connected groups.<n>We present a new dataset of 100K urban street-view images annotated with bounding boxes and labels for both individuals and socially interacting groups.
arXiv Detail & Related papers (2025-09-16T19:31:40Z) - Extracting Participation in Collective Action from Social Media [0.0]
We present a novel suite of text classifiers designed to identify expressions of participation in collective action from social media posts.
Our classification captures participation and categorizes it into four levels: recognizing collective issues, engaging in calls-to-action, expressing intention of action, and reporting active involvement.
Our findings show that smaller language models can reliably detect expressions of participation, and rival larger models in capturing nuanced levels of participation.
arXiv Detail & Related papers (2025-01-13T14:36:41Z) - ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions [47.85181608392683]
We employ ValueScope to dissect and analyze linguistic and stylistic expressions across 13 Reddit communities.
Our analysis provides a quantitative foundation showing that even closely related communities exhibit remarkably diverse norms.
arXiv Detail & Related papers (2024-07-02T17:51:27Z) - Designing and Evaluating Dialogue LLMs for Co-Creative Improvised Theatre [48.19823828240628]
This study presents Large Language Models (LLMs) deployed in a month-long live show at the Edinburgh Festival Fringe.
We explore the technical capabilities and constraints of on-the-spot multi-party dialogue.
Our human-in-the-loop methodology underlines the challenges of these LLMs in generating context-relevant responses.
arXiv Detail & Related papers (2024-05-11T23:19:42Z) - Echo-chambers and Idea Labs: Communication Styles on Twitter [51.13560635563004]
This paper investigates the communication styles and structures of Twitter (X) communities within the vaccination context.
By shedding light on the nuanced nature of communication within social networks, this study emphasizes the significance of understanding the diversity of perspectives within online communities.
arXiv Detail & Related papers (2024-03-28T13:55:51Z) - Narratives of Collective Action in YouTube's Discourse on Veganism [0.0]
We use natural language processing to operationalize a theoretical framework of moral narratives specific to the vegan movement.
Our analysis reveals that several narrative types, as defined by the theory, are empirically present in the data.
Video narratives advocating social fight, whether through protest or through efforts to convert others to the cause, are associated with a stronger sense of collective action in the respective comments.
arXiv Detail & Related papers (2024-01-17T13:44:36Z) - Time-space dynamics of income segregation: a case study of Milan's
neighbourhoods [0.0]
We propose a three-dimensional space to analyze social mixing, which is embedded in the temporal dynamics of urban activities.
While residential areas fail to encourage social mixing in the nighttime, the working hours foster inclusion, with the city center showing a heightened level of interaction.
leisure areas emerge as potential facilitators for social interactions, depending on urban features such as public transport and a variety of Points Of Interest.
arXiv Detail & Related papers (2023-09-29T14:50:13Z) - A Unified Framework for Integrating Semantic Communication and
AI-Generated Content in Metaverse [57.317580645602895]
Integrated Semantic Communication and AI-Generated Content (ISGC) has attracted a lot of attentions recently.
ISGC transfers semantic information from user inputs, generates digital content, and renders graphics for Metaverse.
We introduce a unified framework that captures ISGC two primary benefits, including integration gain for optimized resource allocation.
arXiv Detail & Related papers (2023-05-18T02:02:36Z) - Identifying public values and spatial conflicts in urban planning [0.0]
This paper proposes a new approach to empirically investigate public value conflicts in urban space.
We use unstructured participatory data of 4,528 citizen contributions from a Public Participation Geographic Information Systems in Hamburg, Germany.
Integrating both quantitative and qualitative results, 19 general public values and a total of 9 archetypical conflicts are identified.
arXiv Detail & Related papers (2022-07-11T08:59:43Z) - Social Inclusion in Curated Contexts: Insights from Museum Practices [6.09170287691728]
We argue that the museum experience provides useful lessons for building AI with socially inclusive approaches.
Instead of upholding the value of neutrality, practitioners are aware of the influences of their own backgrounds.
There should be room for situational interpretation beyond the stages of data collection and machine learning.
arXiv Detail & Related papers (2022-05-10T22:22:12Z) - This Must Be the Place: Predicting Engagement of Online Communities in a
Large-scale Distributed Campaign [70.69387048368849]
We study the behavior of communities with millions of active members.
We develop a hybrid model, combining textual cues, community meta-data, and structural properties.
We demonstrate the applicability of our model through Reddit's r/place a large-scale online experiment.
arXiv Detail & Related papers (2022-01-14T08:23:16Z) - Empowering Local Communities Using Artificial Intelligence [70.17085406202368]
It has become an important topic to explore the impact of AI on society from a people-centered perspective.
Previous works in citizen science have identified methods of using AI to engage the public in research.
This article discusses the challenges of applying AI in Community Citizen Science.
arXiv Detail & Related papers (2021-10-05T12:51:11Z) - Expanding Cybersecurity Knowledge Through an Indigenous Lens: A First
Look [10.620356708903596]
We discuss an ongoing community engagement initiative with First Nations communities in the Western Manitoba region.
The initiative involves knowledge-sharing activities that focus on the topic of cybersecurity.
This initial look into our educational project focuses on the conceptual analysis and planning stage.
arXiv Detail & Related papers (2021-03-30T19:25:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.