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Enregistrement W1874326528 · doi:10.5204/mcj.735

The Convergence Effect: Real and Virtual Encounters in Augmented Reality Art

2013· article· en· W1874326528 sur OpenAlex

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Notice bibliographique

RevueM/C Journal · 2013
Typearticle
Langueen
DomaineComputer Science
ThématiqueAugmented Reality Applications
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of North Carolina at Chapel HillUniversity of TorontoCalifornia Institute of Technology
Mots-clésAugmented realityComputer scienceComputer-mediated realityVirtual realityContext (archaeology)MultimediaHuman–computer interactionVisualizationMobile deviceWorld Wide WebMixed realityArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

Augmented Reality—The Liminal Zone Within the larger context of the post-desktop technological philosophy and practice, an increasing number of efforts are directed towards finding solutions for integrating as close as possible virtual information into specific real environments; a short list of such endeavors include Wi-Fi connectivity, GPS-driven navigation, mobile phones, GIS (Geographic Information System), and various technological systems associated with what is loosely called locative, ubiquitous and pervasive computing. Augmented Reality (AR) is directly related to these technologies, although its visualization capabilities and the experience it provides assure it a particular place within this general trend. Indeed, AR stands out for its unique capacity (or ambition) to offer a seamless combination—or what I call here an effect of convergence—of the real scene perceived by the user with virtual information overlaid on that scene interactively and in real time. The augmented scene is perceived by the viewer through the use of different displays, the most common being the AR glasses (head-mounted display), video projections or monitors, and hand-held mobile devices such as smartphones or tablets, increasingly popular nowadays. One typical example of AR application is Layar, a browser that layers information of public interest—delivered through an open-source content management system—over the actual image of a real space, streamed live on the mobile phone display. An increasing number of artists employ this type of mobile AR apps to create artworks that consist in perceptually combining material reality and virtual data: as the user points the smartphone or tablet to a specific place, virtual 3D-modelled graphics or videos appear in real time, seamlessly inserted in the image of that location, according to the user’s position and orientation. In the engineering and IT design fields, one of the first researchers to articulate a coherent conceptualization of AR and to underlie its specific capabilities is Ronald Azuma. He writes that, unlike Virtual Reality (VR) which completely immerses the user inside a synthetic environment, AR supplements reality, therefore enhancing “a user’s perception of and interaction with the real world” (355-385). Another important contributor to the foundation of AR as a concept and as a research field is industrial engineer Paul Milgram. He proposes a comprehensive and frequently cited definition of “Mixed Reality” (MR) via a schema that includes the entire spectrum of situations that span the “continuum” between actual reality and virtual reality, with “augmented reality” and “augmented virtuality” between the two poles (283). Important to remark with regard to terminology (MR or AR) is that especially in the non-scientific literature, authors do not always explain a preference for either MR or AR. This suggests that the two terms are understood as synonymous, but it also provides evidence for my argument that, outside of the technical literature, AR is considered a concept rather than a technology. Here, I use the term AR instead of MR considering that the phrase AR (and the integrated idea of augmentation) is better suited to capturing the convergence effect. As I will demonstrate in the following lines, the process of augmentation (i.e. the convergence effect) is the result of an enhancement of the possibilities to perceive and understand the world—through adding data that augment the perception of reality—and not simply the product of a mix. Nevertheless, there is surely something “mixed” about this experience, at least for the fact that it combines reality and virtuality. The experiential result of combining reality and virtuality in the AR process is what media theorist Lev Manovich calls an “augmented space,” a perceptual liminal zone which he defines as “the physical space overlaid with dynamically changing information, multimedia in form and localized for each user” (219). The author derives the term “augmented space” from the term AR (already established in the scientific literature), but he sees AR, and implicitly augmented space, not as a strictly defined technology, but as a model of visuality concerned with the intertwining of the real and virtual: “it is crucial to see this as a conceptual rather than just a technological issue – and therefore as something that in part has already been an element of other architectural and artistic paradigms” (225-6). Surely, it is hard to believe that AR has appeared in a void or that its emergence is strictly related to certain advances in technological research. AR—as an artistic manifestation—is informed by other attempts (not necessarily digital) to merge real and fictional in a unitary perceptual entity, particularly by installation art and Virtual Reality (VR) environments. With installation art, AR shares the same spatial strategy and scenographic approach—they both construct “fictional” areas within material reality, that is, a sort of mise-en-scène that are aesthetically and socially produced and centered on the active viewer. From the media installationist practice of the previous decades, AR inherited the way of establishing a closer spatio-temporal interaction between the setting, the body and the electronic image (see for example Bruce Nauman’s Live-Taped Video Corridor [1970], Peter Campus’s Interface [1972], Dan Graham’s Present Continuous Pasts(s) [1974], Jeffrey Shaw’s Viewpoint [1975], or Jim Campbell’s Hallucination [1988]). On the other hand, VR plays an important role in the genealogy of AR for sharing the same preoccupation for illusionist imagery and—at least in some AR projects—for providing immersive interactions in “expanded image spaces experienced polysensorily and interactively” (Grau 9). VR artworks such as Paul Sermon, Telematic Dreaming (1992), Char Davies’ Osmose (1995), Michael Naimark’s Be Now Here (1995-97), Maurice Benayoun’s World Skin: A Photo Safari in the Land of War (1997), Luc Courchesne’s Where Are You? (2007-10), are significant examples for the way in which the viewer can be immersed in “expanded image-spaces.” Offering no view of the exterior world, the works try instead to reduce as much as possible the critical distance the viewer might have to the image he/she experiences. Indeed, AR emerged in great part from the artistic and scientific research efforts dedicated to VR, but also from the technological and artistic investigations of the possibilities of blending reality and virtuality, conducted in the previous decades. For example, in the 1960s, computer scientist Ivan Sutherland played a crucial role in the history of AR contributing to the development of display solutions and tracking systems that permit a better immersion within the digital image. Another important figure in the history of AR is computer artist Myron Krueger whose experiments with “responsive environments” are fundamental as they proposed a closer interaction between participant’s body and the digital object. More recently, architect and theorist Marcos Novak contributed to the development of the idea of AR by introducing the concept of “eversion”, “the counter-vector of the virtual leaking out into the actual”. Today, AR technological research and the applications made available by various developers and artists are focused more and more on mobility and ubiquitous access to information instead of immersivity and illusionist effects. A few examples of mobile AR include applications such as Layar, Wikitude—“world browsers” that overlay site-specific information in real-time on a real view (video stream) of a place, Streetmuseum (launched in 2010) and Historypin (launched in 2011)—applications that insert archive images into the street-view of a specific location where the old images were taken, or Google Glass (launched in 2012)—a device that provides the wearer access to Google’s key Cloud features, in situ and in real time. Recognizing the importance of various technological developments and of the artistic manifestations such as installation art and VR as predecessors of AR, we should emphasize that AR moves forward from these artistic and technological models. AR extends the installationist precedent by proposing a consistent and seamless integration of informational elements with the very physical space of the spectator, and at the same time rejects the idea of segregating the viewer into a complete artificial environment like in VR systems by opening the perceptual field to the surrounding environment. Instead of leaving the viewer in a sort of epistemological “lust” within the closed limits of the immersive virtual systems, AR sees virtuality rather as a “component of experiencing the real” (Farman 22). Thus, the questions that arise—and which this essay aims to answer—are: Do we have a specific spatial dimension in AR? If yes, can we distinguish it as a different—if not new—spatial and aesthetic paradigm? Is AR’s intricate topology able to be the place not only of convergence, but also of possible tensions between its real and virtual components, between the ideal of obtaining a perceptual continuity and the inherent (technical) limitations that undermine that ideal? Converging Spaces in the Artistic Mode: Between Continuum and Discontinuum As key examples of the way in which AR creates a specific spatial experience—in which convergence appears as a fluctuation between continuity and discontinuity—I mention three of the most accomplished works in the field that, significantly, expose also the essential role played by the interface in providing this experience: Living-Room 2 (2007) by Jan Torpus, Under Scan (2005-2008) by Rafael Lozano-Hemmer and Hans RichtAR (2013) by John Craig Freeman and Will Pappenheimer. The works illustrate the three main categories of interfaces used for AR experience: head-attached, spatial displays, and hand-held (Bimber 2005

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

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Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,588
Score d'incertitude au seuil0,362

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,241
Écart entre enseignants0,235 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle