Surprise machines

Rodighiero, Dario; Derry, Lins; Duhaime, Douglas; Kruguer, Jordan; Mueller, Maximilian; Pietsch, Christopher; Schnapp, Jeffrey T.; Steward, Jeff; metaLAB,

doi:10.1075/idj.22013.rod

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Briefly put, the database is organized as a digital cloud that the visitor must navigate. The approach aligns with data visualization experiments by scholars like Mitchell Whitelaw and Jeffrey T. Schnapp that move away from the search bar and gave rise to the innovative "generous interfaces," "surprise machines," and the "dynamic thinking space Searcher" (Rodighiero et al, 2022;Stam, 2023;Whitelaw, 2015).…”

Section: Digi Ta L C U R At Ion I Nsi De a N D Ou T Si De T H E M Useu Mmentioning

confidence: 70%

Art in circulation: Creating content and context for digital reproduction of artworks

Dhaenens,

Truyen

2024

Curator The Museum Journal

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The use of digital museum objects has become an essential part of museums' communication and marketing strategies, research and teaching, and curatorial practices. This new visibility, amplified by the COVID‐19 crisis, has not only revealed the possibilities of digital museum objects but has also underscored significant challenges, including the intricate relationship between digital museum objects and physical objects, the impact of digital museum objects on knowledge creation, and the online interaction with art and cultural heritage. Furthermore, it has drawn attention to the digital platforms that host digital museum objects, ranging from museum collection databases to online encyclopedias, cultural heritage platforms, and social media. The present paper explores these issues by examining how digital platforms are changing the way digital reproductions of artworks are used and reimagined, both inside and outside the institutions that house the artworks. To illuminate these dynamics, it looks at specific case studies, including the Getty Challenge, the online circulation of Delacroix's La liberté guidant le peuple, and the collection databases of Belgian museums and of the Mauritshuis. Theoretically, it combines the art historical concept of circulation with the notion of gray and colored memory drawn from digital memory studies. In doing so, it conceives of museum databases and cultural heritage platforms, as spaces of participation and neglect, of memory and oblivion, with a vast potential for producing new perspectives on art and cultural heritage and telling new (art) histories. In conclusion, the paper advocates for “circulation” as a key concept for revitalizing online collections of digital reproductions of artworks.

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Section: Digi Ta L C U R At Ion I Nsi De a N D Ou T Si De T H E M Useu Mmentioning

confidence: 70%

Art in circulation: Creating content and context for digital reproduction of artworks

Dhaenens,

Truyen

2024

Curator The Museum Journal

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“…These vectors are essential for building connections of content in a novel way. Surprise Machines [21] from Harvard Metalab is a visual investigation that sets out to analyse, connect and visualize the entire universe of museums' collections using such a latent space. The objective is to open up unexpected insights into the more than 200,000 images previously strictly catalogued by archivists.…”

Section: Explorative Interfaces For Archival Contentmentioning

confidence: 99%

Latent Wander: an Alternative Interface for Interactive and Serendipitous Discovery of Large AV Archives

Yang,

Zhang

2023

Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents

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Audiovisual (AV) archives are invaluable for holistically preserving the past. Unlike other forms, AV archives can be difficult to explore. This is not only because of its complex modality and sheer volume but also the lack of appropriate interfaces beyond keyword search. The recent rise in text-to-video retrieval tasks in computer science opens the gate to accessing AV content more naturally and semantically, able to map natural language descriptive sentences to matching videos. However, applications of this model are rarely seen. The contribution of this work is threefold. First, working with RTS (Télévision Suisse Romande), we identified the key blockers in a real archive for implementing such models. We built a functioning pipeline for encoding raw archive videos to the text-to-video feature vectors. Second, we designed and verified a method to encode and retrieve videos using emotionally abundant descriptions not supported in the original model. Third, we proposed an initial prototype for immersive and interactive exploration of AV archives in a latent space based on the previously mentioned encoding of videos. CCS CONCEPTS• Applied computing → Arts and humanities; • Human-centered computing → Human computer interaction (HCI); Visualization.

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AI Implementation in Art Museums Through Sensory Design

Ambalavan,

Chauhan

2024

KSS

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This research paper compared the use of advanced technology like AI in modern art museums with the traditional art museums. It focused on the display of art forms that help create a more immersive experience for visitors by engaging the five senses with the help of sensory factors such as sound effects, visual stimuli, haptic design, and tactile forms. In the digital age, it is essential to enhance spaces using growing AI technology to accommodate emerging art forms. In India where culture is rich and timeless, it is imperative we welcome new changes to the perceptions of art. A comparative analytic table has been prepared by using associated keywords to find research papers from various sources (Google Scholar, Springer, Research Gate). Furthermore, national and international case studies were explored, and a thorough analysis of the space and usage of AI technology was conducted. After collecting the secondary data, the primary data was collected using the interview method through digital forms. The collected information through both online and offline methods underwent a comparative analysis, from which a conclusion was derived. As such, this paper proposes how art museums can be further developed and designed using AI technology and multi-sensory features to increase visitor engagement and understanding, by creating a space that can accommodate all art forms in the Indian context. It thereby discourages prejudices against introducing AI into artistic and cultural spaces. Keywords: visitor experience, AI technology, interactive spaces, art museum, sensory factors

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Surprise machines

Cited by 3 publications

References 28 publications

Art in circulation: Creating content and context for digital reproduction of artworks

Art in circulation: Creating content and context for digital reproduction of artworks

Latent Wander: an Alternative Interface for Interactive and Serendipitous Discovery of Large AV Archives

AI Implementation in Art Museums Through Sensory Design

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