The Convergence Effect: Real and Virtual Encounters in Augmented Reality Art
Why this work is in the frame
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Bibliographic record
Abstract
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
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it