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Spatial computing

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Not to be confused with Spatial navigation.

Spatial computing is any of various 3D human–computer interaction techniques that are perceived by users as taking place in the real world, in and around their natural bodies and physical environments, instead of constrained to and perceptually behind computer screens. This concept inverts the long-standing practice of teaching people to interact with computers in digital environments, and instead teaches computers to better understand and interact with people more naturally in the human world. This concept overlaps with and encompasses others including extended reality, augmented reality, mixed reality, natural user interface, contextual computing, affective computing, and ubiquitous computing. The usage for labeling and discussing these adjacent technologies is imprecise.[1]

Spatial computing devices include sensors—such as RGB cameras, depth cameras, 3D trackers, inertial measurement units, or other tools—to sense and track nearby human bodies (including hands, arms, eyes, legs, mouths) during ordinary interactions with people and computers in a 3D space.[2] They further use computer vision to attempt to understand real world scenes, such as rooms, streets or stores, to read labels, to recognize objects, create 3D maps, and more. Quite often they also use extended reality and mixed reality to superimpose virtual 3D graphics and virtual 3D audio onto the human visual and auditory system as a way of providing information more naturally and contextually than traditional 2D screens.

Spatial computing does not technically require any visual output. For example, an advanced pair of headphones, using an inertial measurement unit and other contextual cues could qualify as spatial computing, if the device made contextual audio information available spatially, as if the sounds consistently existed in the space around the headphones' wearer. Smaller internet of things devices, like a robot floor cleaner, would be unlikely to be referred to as a spatial computing device because it lacks the more advanced human-computer interactions described above.

Spatial computing often refers to personal computing devices like headsets and headphones, but other human-computer interactions that leverage real-time spatial positioning for displays, like projection mapping or cave automatic virtual environment displays, can also be considered spatial computing if they leverage human-computer input for the participants.

History

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Spatial computing as a field could be considered to have begun as early as 1969 with the work of Myron Krueger, who developed a number of AR related computing systems, most notably in 1970 the graphical environment Videoplace.[3][4] A precursor of this system took digital images and overlayed them with peoples' live bodies. Videoplace took in a user's image and projected it onto a screen, where the users could utilize their projection to "touch" and interact with digital objects and "critters", demonstrating a number of the capabilities modern AR systems exhibit in a more primitive form. Videoplace allowed for the user's projection to be scaled in size, moved in position, and manipulated through rotation depending on the user's position and actions.

The term apparently originated in the field of GIS around 1985[5] or earlier to describe computations on large-scale geospatial information. Early examples of spatial computing in GIS include ArcInfo and its iterations, initially released in 1981[6], a part of ArcGIS along with ArcEditor, which together provide mapping, analysis, editing, and geoprocessing for geodatabases.[7] This is somewhat related to the modern use, but on the scale of continents, cities, and neighborhoods.[8] Modern spatial computing is more centered on the human scale of interaction, around the size of a living room or smaller. But it is not limited to that scale in the aggregate.

In the early 1990s, as field of virtual reality was beginning to be commercialized beyond academic and military labs, a startup called Worldesign in Seattle used the term Spatial Computing[9] to describe the interaction between individual people and 3D spaces, operating more at the human end of the scale than previous GIS examples may have contemplated. The company built a CAVE-like environment it called the Virtual Environment Theater, whose 3D experience was of a virtual flyover of the Giza Plateau, circa 3000 BC. Robert Jacobson, CEO of Worldesign, attributes the origins of the term to experiments at the Human Interface Technology Lab, at the University of Washington, under the direction of Thomas A. Furness III. Jacobson was a co-founder of that lab before spinning off this early VR startup.

In 1997, an academic publication by T. Caelli, Peng Lam, and H. Bunke called "Spatial Computing: Issues in Vision, Multimedia and Visualization Technologies" introduced the term more broadly for academic audiences,[10] focusing on a variety of topics such as image processing, dead reckoning navigation, object recognition, and visualizing spatial data.

The specific term "spatial computing" was later referenced again in 2003 by Simon Greenwold,[11] as "human interaction with a machine in which the machine retains and manipulates referents to real objects and spaces". MIT Media Lab alumnus John Underkoffler gave a TED talk in 2010[12] giving a live demo of the multi-screen, multi-user spatial computing systems being developed by Oblong Industries, which sought to bring to life the futuristic interfaces conceptualized by Underkoffler in the films Minority Report and Iron Man.

Google Earth, initially released by Keyhole Inc. in 2001 and re-released by Google in 2005 can be considered a capable GIS and includes advanced geospatial tools and capabilities.[13]

Notable instances of the use of spatial computing

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In 2019, Microsoft HoloLens released a video outlining Airbus' partnership with Microsoft Azure to utilize the latter's mixed reality services for streamlining and improving the aircraft design process, as well as reducing the error in development.[14] Airbus utilized the HoloLens 2 to this end, and the executive vice president of engineering claimed that their design process' validation phases were "hugely accelerated by 80 percent", as well as "strongly believe[d]" that up to 30% improvements in their industrial tasks could be attained with the HoloLens 2. During the presentational video, Airbus cited the maturity of Microsoft Azure services as "key" for their usage of the HoloLens 2.

Also in 2019, the U.S. army partnered with Microsoft to produce a HoloLens based Integrated Visual Augmentation System (IVAS) to enhance infantry members by giving troops various abilities, including but not limited to using holographs to train, projecting 3D maps into their vision, and seeing through smoke and corners.[15] Microsoft received tens of thousands of hours of feedback for their systems by 2021. Sergeant Marc Krugh at the time claimed that Microsoft's partnership has already caused the army to rethink some of its troops' operation strategy.

Products

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Apple Vision Pro

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Photo of an Apple Vision Pro, on a stand, with a battery. A man stands in the background in a blue shirt.
Apple Vision Pro is a spatial computing product developed by Apple

Apple announced Apple Vision Pro, a device it markets as a "spatial computer", on June 5, 2023. It includes several features such as Spatial Audio, two 4K micro-OLED displays, the Apple R1 chip and eye tracking, and released in the United States on February 2, 2024.[16] In announcing the platform, Apple invoked its history of popularizing 2D graphical user interfaces that supplanted prior human-computer interface mechanisms such as the command line. Apple suggests the introduction of spatial computing as a new category of interactive device, on the same level of importance as the introduction of the 2D GUI.

Apple Vision Pro runs on a new operating system called VisionOS, which combines eye tracking, gesture recognition, and voice input to enable immersive interaction without physical controllers. The platform is aimed at productivity, entertainment, collaboration, and enterprise use cases.

Magic Leap

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Magic Leap had also previously used the term “spatial computing” to describe its own devices. Its first headset, the Magic Leap 1, was released on August 8, 2018. [17]

Magic Leap’s technology enables the rendering of digital content through a method known as optical rendering, which projects virtual information into the user’s field of view. This allows for an experience where the physical and digital worlds are perceived simultaneously.

Microsoft Hololens

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On February 24, 2019, Microsoft released the HoloLens 2, which includes mixed reality tools and can generate interactable, manipulatable holograms in 3D space.[18] The holograms in question can be related to a physical object or completely independent and free-floating. The Azure Spatial Anchors cloud service was released simultaneously, which gives the holograms capability to persist across time and many individuals' devices.

Meta Quest

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The Meta Quest 3, a mixed reality gaming headset that includes spatial audio, two RGB cameras, and grants the ability to interact with virtual characters released on October 9, 2023, at a notably cheaper price than the Apple Vision Pro, but with reduced capabilities.[19][20]

Snap Spectacles 5th Generation

Snap Spectacles

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Spectacles (product) are augmented reality glasses developed by Snap Inc.. The latest generation includes a 46-degree stereoscopic display, adjustable tint, and Snapdragon processors.

Spectacles allow users to interact with a collection of augmented reality experiences designed for education, entertainment, and utility.

Currently, the device is in the hands of selected developers and creators, as part of an experimental AR ecosystem focused on creativity, use case exploration and expression.

Other uses of the term

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In computing, the word "spatial" has also been used to refer to the unrelated concept of moving data between processing elements that are arranged in a physical space. In 1992, "spatial machines" were suggested as an approach to parallel computation.[21] In 2013, a programming standard was proposed for "spatial computing".[22] Computer scientists at ETH Zurich have proposed a "spatial computer" model for energy-efficient parallel computation.[23] AMD describe AMD XDNA as a "spatial dataflow NPU architecture", and the University of Illinois is developing a compiler framework for "spatial dataflow accelerators".[24][25]

See also

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  • A-Frame (virtual reality framework) – Open-source web framework for virtual reality
  • Brain–computer interface – Direct communication pathway between an enhanced or wired brain and an external device
  • Cyberspace – Concept describing a widespread, interconnected digital technology
  • Extended reality – Combined real-and-virtual environment
  • OpenXR – Standard for access to virtual reality and augmented reality platforms and devices
  • Smart city – City using integrated information and communication technology
  • Spatial audio – Class of sound effect
  • Supranet
  • Technological singularity – Hypothetical point in time when technological growth becomes uncontrollable and irreversible
  • Transhumanism – Philosophical movement
  • Virtual community – Social network of individuals who interact through specific social media
  • Virtual world – Large-scale, interactive computer-simulated environment
  • WebXR – Experimental JavaScript API for augmented/virtual reality devices
  • Wirehead – Concept in fiction or futuristic applications

References

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  1. ^ Ovide, Shira (2024-02-02). "Apple's Vision Pro is 'spatial computing.' Nobody knows what it means". Washington Post. Retrieved 2024-02-02.
  2. ^ "Tracking in Virtual Reality and Beyond – VR 101: Part III". blog.vive.com. Retrieved 2024-04-19.
  3. ^ "Myron Krueger's Videoplace Pioneers "Artificial Reality" : History of Information". www.historyofinformation.com. Retrieved 2025-05-28.
  4. ^ Krueger, Myron W.; Gionfriddo, Thomas; Hinrichsen, Katrin (1985-04-01). "VIDEOPLACE---an artificial reality". Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '85. New York, NY, USA: Association for Computing Machinery. pp. 35–40. doi:10.1145/317456.317463. ISBN 978-0-89791-149-8.
  5. ^ Reeve, D. E. (April 1985). "Computing in the geography degree: limitations and objectives". Journal of Geography in Higher Education. 9 (1): 37–44. doi:10.1080/03098268508708923. ISSN 0309-8265.
  6. ^ GISuser (2007-06-28). "ESRI, Arc/Info, ArcGIS, ArcView... 25 Years in the making - A Time Line". GIS user technology news. Retrieved 2025-05-28.
  7. ^ "ArcObjects 10 .NET SDK Help". help.arcgis.com. Retrieved 2025-05-28.
  8. ^ "Towards intelligent spatial computing for the Earth sciences in South Africa". 1993.
  9. ^ Jacobson, Bar-Zeev, Wong, Dagit (1993). "The Virtual Environment Theater using Spatial Computing". RealityPrime.
  10. ^ Caelli, Terry; Bunke, Horst (1997). Spatial Computing: Issues in Vision, Multimedia and Visualization Technologies. World Scientific. ISBN 978-981-02-2924-5.
  11. ^ Greenwold, Simon (June 2003). "Spatial Computing" (PDF). MIT Graduate Thesis. Retrieved 22 December 2019.
  12. ^ Underkoffler, John (2010). "Pointing to the Future of UI". TED Conference.
  13. ^ "Google Earth capabilities for no-code geospatial evaluation and analytics". Google Maps Platform. Retrieved 2025-05-28.
  14. ^ Microsoft HoloLens (2019-06-17). Airbus drives innovation and accelerates production with Azure mixed reality and HoloLens 2. Retrieved 2025-05-28 – via YouTube.
  15. ^ "U.S. Army to use HoloLens technology in high-tech headsets for soldiers". Source. Retrieved 2025-05-28.
  16. ^ "Apple Vision Pro". Apple. Apple Inc. Retrieved 5 June 2023.
  17. ^ "Magic Leap: Founder of Secretive Start-Up Unveils Mixed-Reality Goggles". Rolling Stone. Archived from the original on 2017-12-20. Retrieved 2025-06-18.
  18. ^ "HoloLens 2 gives Microsoft the edge in next generation of computing". Source. Retrieved 2025-05-28.
  19. ^ "Meta Quest 3". meta.com. May 28, 2025. Retrieved May 28, 2025.
  20. ^ "The Meta Quest 3: Spatial Computing and Mixed Reality Are Things Now". Display Daily. 2023-09-28. Retrieved 2025-05-28.
  21. ^ Yosee Feldman and Ehud Shapiro, CACM, 35(10), pages 61 to 73, 1992.
  22. ^ HPCWire, OpenSPL Consortium Unveils New Programming Standard for Spatial Computing.
  23. ^ Lukas Gianinazzi, et al, 2023.
  24. ^ AMD, AMD XDNA Architecture.
  25. ^ NSF, CAREER: An Agile Compiler Framework for Spatial Dataflow Accelerators.
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