Practice vocabulary for the XR spectrum: Mixed Reality, Augmented Reality, Virtual Reality, Extended Reality, the reality-virtuality continuum, and immersion levels.
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What is the key defining characteristic of Mixed Reality (MR)?
Mixed Reality (MR) is distinguished by the depth of integration between digital and physical: virtual objects are spatially aware of real surfaces, respond to real lighting, and can be occluded by real objects. This requires world understanding — plane detection, scene reconstruction, depth sensing. Apple Vision Pro and HoloLens 2 represent MR. Contrast with AR (overlay, less interaction with real world) and VR (fully virtual).
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What is Augmented Reality (AR) and how does it differ from MR?
AR places digital content on top of a real-world view — classic examples: Pokémon Go (overlays on a phone camera view), IKEA Place (placing furniture models in your room), navigation arrows on a windscreen HUD. The virtual elements do not necessarily understand the physical environment. MR goes further: virtual objects respond to real surfaces, can be occluded by real objects, and integrate spatially. The line between AR and MR is increasingly blurry.
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What is Virtual Reality (VR) and what defines a fully immersive VR experience?
VR uses an opaque headset that blocks out all real-world light, replacing it entirely with a rendered 3D environment. Fully immersive VR combines: a wide FoV display, 6DoF head and controller tracking, spatial audio, low latency (under 20ms motion-to-photon), and high refresh rate (90Hz+). These together produce 'presence' — the psychological sensation of actually being in the virtual environment.
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What does XR (Extended Reality) mean as an umbrella term?
XR (Extended Reality) is the collective term for AR, VR, MR, and the entire spectrum between them. Using XR avoids needing to list each variant separately, and acknowledges that the boundaries between AR, MR, and VR are becoming less distinct as technology evolves. The WebXR API (W3C), OpenXR standard (Khronos), and most industry literature use XR as the inclusive term.
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What is the 'reality-virtuality continuum' (Milgram scale)?
Milgram and Kishino's reality-virtuality continuum (1994) is the foundational model for understanding the XR spectrum. At the left: real environment (pure physical reality). At the right: virtual environment (pure VR). Between them is Mixed Reality — including Augmented Reality (mostly real, some virtual) and Augmented Virtuality (mostly virtual, some real). This model explains why MR encompasses both AR and certain VR-with-real-elements experiences.
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Code Review Comment: 'The rendering pipeline for this MR feels… detached. I'm not getting a strong sense of presence or spatial awareness. Could you elaborate on how you're handling the positional tracking?' What does this comment primarily indicate regarding the Mixed Reality (MR) implementation?
This comment focuses on the *user experience* – specifically, a lack of 'presence' and 'spatial awareness,' which are core challenges in MR. The reviewer isn't criticizing the technical implementation directly, but rather the perceived quality of the immersive effect. The key here is understanding how accurately the device tracks the user's position and orientation within the virtual world.
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Slack Message: 'Just finished testing the new AR app on iOS. It's fantastic! The virtual furniture is perfectly overlaid onto my living room, and I can actually 'move' it around with gestures. Really impressive!' What aspect of Augmented Reality (AR) does this message highlight?
The message emphasizes 'perfectly overlaid' content and 'moving it around with gestures,' which directly relates to AR's core functionality. AR distinguishes itself by blending digital objects seamlessly into a user's existing physical surroundings, allowing for interaction. This contrasts with VR, where the user is entirely immersed in a simulated environment.
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PR Description: 'Implemented support for Oculus Quest 2 head tracking. The system now accurately detects the user's head movements and translates them into corresponding rotations within the VR environment.' What is the primary purpose of this PR regarding Virtual Reality (VR)?
This PR is fundamentally about *interaction* within a VR environment. Accurate head tracking is absolutely critical for creating a believable and intuitive VR experience—allowing the user to look around naturally and interact with virtual objects as if they were physically present. The Oculus Quest 2 is simply the hardware platform.
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Standup Update: 'Yesterday, I was working on integrating XR development tools into our workflow. We're exploring how to use Extended Reality (XR) frameworks for prototyping interactive user interfaces and testing product designs in a more immersive way.' What does the term 'Extended Reality' (XR) imply in this context?
The phrase 'umbrella term' is key here. XR represents the broader category that includes AR, VR, and MR – it's a way to group technologies that share the common goal of blending digital information with the real world in various ways. It's not about one specific technology but rather the overall concept.
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API Response (Example): `{"status": "success", "data": {"position": [1.23, -4.56, 7.89], "orientation": [0.12, 0.34, -0.56]}}` This API response represents data related to a user's position and orientation within a Virtual Reality (VR) environment. What does the 'position' field represent?
The 'position' field is a fundamental component of spatial tracking within VR. It provides the x, y, and z coordinates – essentially defining the user's location in a three-dimensional coordinate system relative to the virtual environment's origin point. This data is crucial for rendering the scene correctly.
What does this Wearables & Spatial Computing Language exercise cover?
This exercise, "MR / AR / VR Vocabulary", tests your understanding of wearables & spatial computing language vocabulary and phrasing through 10 multiple-choice questions drawn from real workplace scenarios.
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This exercise has 10 questions. Each one presents a realistic sentence or scenario with multiple-choice options and an explanation once you answer.
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You'll see immediate feedback showing whether your answer was correct, along with a short explanation of why — then a button to move to the next question.
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No — progress within an exercise resets if you navigate away or reload. Each exercise is short enough to complete in a few minutes in one sitting.
Who is this Wearables & Spatial Computing Language exercise for?
It's designed for IT professionals and learners who want to sound natural discussing wearables & spatial computing language topics in English — useful for meetings, documentation, interviews, and day-to-day communication with English-speaking teams.
How is this different from reading a glossary or blog article?
Exercises like this one are active recall drills — you have to choose the correct term or phrasing yourself, which builds retention faster than passively reading a definition.
Where can I find more Wearables & Spatial Computing Language exercises?
Browse the full Wearables & Spatial Computing Language exercises hub for more practice, or explore other exercise categories covering vocabulary, grammar, interviews, and workplace communication.