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#virtualworlds

23 posts15 participants1 post today
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Metaverse 💞 beyond.pictures

»Development and evaluation of a #restaurant #virtualreality #training system for enhancing awareness and priority-setting skills.« nature.com/articles/s41598-025 #Metaverse #VirtualWorlds #XR #VR #MR #AR #BeyondPictures

NatureDevelopment and evaluation of a restaurant virtual reality training system for enhancing awareness and priority-setting skills - Scientific ReportsCharacterizing trainees’ cognitive and decision-making processes presents a challenge for trainers, hindering effective on-the-job training (OJT) in the restaurant industry. Thus, objectively evaluating training effectiveness proves to be difficult. To support aspects that are difficult to address through the current OJT, we developed a job-training system based on virtual reality (VR). The system includes both a training mode and a scoring mode. In training mode, trainees wore a head-mounted display (HMD) and held the controller in both hands to perform operations in a virtual restaurant. In scoring mode, instructors could view replays of the trainees’ operations on a PC screen and provide comments. This system targets two elements that pose challenges in real-world scenarios: awareness and priority-setting. Given the importance of evaluating the training effectiveness and user usability of the training system, we designed and conducted an evaluation experiment with 50 novices and 20 experts. Although scores before and after training exhibited no significant differences in the tests using videos recorded in actual settings, both novices and experts highly praised the system’s utility.
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Jupiter Rowland
@nihilistic_capybara LLMs aren't omniscient, and they will never be.

If I make a picture on a sim in an OpenSim-based grid (that's a 3-D virtual world) which has only been started up for the first time 10 minutes ago, and which the WWW knows exactly zilch about, and I feed that picture to an LLM, I do not think the LLM will correctly pinpoint the place where the image was taken. It will not be able to correctly say that the picture was taken at <Place> on <Sim> in <Grid>, and then explain that <Grid> is a 3-D virtual world, a so-called grid, based on the virtual world server software OpenSimulator, and carry on explaining what OpenSim is, why a grid is called a grid, what a region is and what a sim is. But I can do that.

If there's a sign with three lines of text on it somewhere within the borders of the image, but it's so tiny at the resolution of the image that it's only a few dozen pixels altogether, then no LLM will be able to correctly transcribe the three lines of text verbatim. It probably won't even be able to identify the sign as a sign. But I can do that by reading the sign not in the image, but directly in-world.

By the way: All my original images are from within OpenSim grids. I've probably put more thought into describing images from virtual worlds than anyone. And I've pitted my own hand-written image description against an AI-generated image description of the self-same image twice. So I guess I know what I'm writing about.

CC: @🅰🅻🅸🅲🅴  (🌈🦄) @nihilistic_capybara

#Long #LongPost #CWLong #OpenSim #OpenSimulator #Metaverse #VirtualWorlds #CWLongPost #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLM #AIVsHuman #HumanVsAI
hub.netzgemeinde.euNetzgemeinde/Hubzilla
#humanvsai
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Nuki Raccoon: The DEI Program of Furry Erotica

Protip:
When doing shading on a #texture for #3Dmodeling, especially for #VR #Avatars or other characters in #GameDev, put it on a separate layer and export it as an Occlusion Map. Modern engines can make this look really good, especially in worlds that were designed with strong ambient #lighting. It also makes it easier to edit the colors because you don't have to worry about the shading on them.

Also, use more than one material. It is not 2006. Not only should Clothing and Flesh NEVER share materials, but eyes, insides of mouths, horns, and unfurred areas on characters with fur, benefit greatly from having their own material with its own reflectivity. It especially helps in modern #VirtualWorlds like #Resonite and #Overte, where this makes Avarars FAR more customizable.

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