{"id":5168,"date":"2023-06-06T16:10:06","date_gmt":"2023-06-06T16:10:06","guid":{"rendered":"https:\/\/design4real.de\/?p=5168"},"modified":"2025-01-10T18:23:07","modified_gmt":"2025-01-10T18:23:07","slug":"spatial-computing","status":"publish","type":"post","link":"https:\/\/design4real.de\/en\/spatial-computing\/","title":{"rendered":"Why Spatial Computing is the Future of Digital Interaction"},"content":{"rendered":"
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What is spatial computing?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Since the presentation of the new Apple VR<\/a>\/AR Glasses Apple Vision Pro is Spatial Computing<\/a> on everyone's lips again. For XR connoisseurs, the term is nothing new. But what exactly does it mean? Get ready to discover the exciting world of Spatial Computing<\/a> to explore!<\/p>

With the release of the Apple Vision Pro, the age of spatial computing could now be dawning.<\/p>

Where does the term spatial computing come from?<\/h2><\/div>

The term \"spatial computing\" was first coined in 2003 by Simon Greenworld, a British software developer and visionary. Simon Greenworld defined spatial computing as \"the interaction between man and machine in a three-dimensional space\". His innovation makes it possible to use software to seamlessly integrate the computer's user interface into the three-dimensional physical world, thus detaching interaction with the computer from a static physical location.<\/p>

Greenworld believed that the traditional way we interact with computers is inefficient and unnatural. He argued that we should design computers to integrate into the real world and provide us with an immersive and natural user experience.<\/p>

Greenworld's vision of Spatial Computing was inspired by developments in Virtual Reality (VR) and Augmented reality<\/a> (AR). VR allows users to immerse themselves in a completely artificial environment, while AR projects digital information into the real world.<\/p><\/div>

Introduction to Spatial Computing<\/h2><\/div>

The foundations of spatial computing are based on augmented reality (AR) and virtual reality (VR) technologies. AR extends our real world by integrating digital content into it, while VR immerses us in a completely artificial environment. Spatial computing combines these technologies and opens up a new level of Immersion<\/a> and interaction.<\/p>

Spatial computing enables collaboration and communication regardless of physical location, promotes the merging of digital and real worlds in industrial applications and optimizes workflows in various sectors such as design, industry and medicine. It also has the potential to create productive working environments in smart offices and comfortable living spaces in smart homes by using contextual data for automatic adjustments.<\/p><\/div>

The difference between virtual reality and augmented reality AR<\/h2><\/div>

Spatial computing and virtual reality<\/a> are two technologies that are often confused with each other, but there are some important differences between the two. Virtual reality (VR) is a technology that gives users the opportunity to step into a completely immersive experience. virtual world<\/a> immerse yourself. This virtual world is often accompanied by a VR goggles<\/a> that covers the user's entire field of vision. Spatial computing, on the other hand, enables users to see and interact with digital content in the physical world. Compared to the personal computer, which works with traditional input devices such as a keyboard and mouse and has no direct spatial relationship, spatial computing enables interaction via gestures, voice and gaze control as well as the seamless integration of content into three-dimensional space. This content can be displayed on a smartphone, tablet or AR glasses.<\/p><\/div>

The advantages of Spatial Computing<\/h2><\/div>

There are many advantages over conventional digital interaction technologies. One of the biggest advantages is that it offers a seamless and immersive<\/a> user experience. Users can see and interact with digital content in the physical world as if they were part of the physical world. This enables companies to create unique and immersive<\/a> to create user experiences that inspire and retain users. Another advantage is that it offers the opportunity to place digital content in the physical world. This can be useful to draw users' attention to specific products or services.<\/p><\/div>

How does spatial computing work?<\/h2><\/div>

Spatial computing is based on a range of technologies and devices that work together to provide us with an immersive and interactive experience. These include data glasses such as the Microsoft HoloLens 2<\/a>,\u00a0Meta Quest 3<\/a>\u00a0and Apple Vision Pro\u00a0<\/a>that serve as an interface between us and the digital world. These glasses enable us to see virtual objects in our real environment and interact with them.<\/p>

Another important component of spatial computing are depth cameras such as the Microsoft Azure Kinect and the Intel RealSense D450. These cameras capture the depth of the real world and enable devices to seamlessly integrate virtual objects into the real world. By combining data glasses and depth cameras, we can see and interact with digital content in our physical environment.<\/p>

Other technologies such as controllers also play a role, Hand tracking<\/a> and Eye tracking<\/a> play an important role in spatial computing. Controllers simulate physical objects and provide a haptic interface for interaction. Hand tracking enables us to interact with the environment in a natural way by recognizing our hand movements. Eye tracking captures the movements of our eyes and enables more intuitive control of the virtual environment.<\/p>

The basis of spatial computing is the real-time 3D rendering capability of the devices. This technology requires high computing power, as all visible objects need to be redrawn up to 60 times per second. Various approaches are used to meet these requirements, including powerful gaming PCs, standalone headsets and cloud rendering solutions.<\/p><\/div>

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Devices for spatial computing<\/h2>\n
\n\nVarious devices are used for spatial computing, including:\n