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    Generative AI, the metaverse and VR: What’s ahead in 2024

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    Let's do a thought experiment. Take a moment to look back to the days before ChatGPT and generative AI took over enterprises and dominated the discourse, development, and discussion of the HR technology industry.

    Before we immersed ourselves in generational AI, at least some in the tech industry were gearing up for a different kind of immersion: the metaverse. Metaverse is an exciting new twist on an existing concept that allows the user, in the form of an avatar, to navigate and interact with her three-dimensional virtual world environment.

    But a combination of factors made it easy to forget just how excited we were about the possibilities of VR. Primarily, experiencing the Metaverse (and other VR experiences) required an expensive and uncomfortable VR headset. And Facebook and Mark Zuckerberg (famous for sinking billions of dollars into previously disappointing forays into the Metaverse) have the tech community all ecstatic. And then, of course, came the disruption of workplace challenges related to the pandemic, and finally the emergence of generative AI.

    While it's easy to get distracted by these developments, especially the immediacy, ease of use, and “cool” factor of generative AI, the Metaverse and VR are not going away. In fact, perhaps generative AI could act as a catalyst for organizations to unlock more value from VR in the future. Given the complementary nature of these tools, consider how they can unlock more value when used together than when used alone.

    Despite the negative publicity that appears to be attached to Metaverse, largely based on Meta/Facebook's disappointing consumer adoption of their VR hardware and virtual environments, Metaverse seems to conceptually align more directly with workplace and enterprise use cases. For organizations, the Metaverse has and will continue to provide opportunities for employee learning and development, onboarding, collaboration, and more.

    Observers of the HR technology market and some forward-thinking organizations are certainly aware of the applicability of VR technologies and solutions to solve workplace challenges, especially in learning and training. There are also notable corporate success stories.For example, pioneering HR technology providers STRIVR has been offering virtual reality training for years, with published case studies from companies such as Walmart, Bank of America, and Sprouts Market. However, despite these notable successes, widespread adoption of Metaverse and VR in enterprises remains elusive.

    Here, the power of generative AI and new capabilities can enhance and extend VR, unlocking even more value and driving accessibility and adoption. Generative AI technologies have proven to be highly capable of generating content such as text, images, audio, and video. Generative AI becomes powerful content when trained on the right datasets and with the right mechanisms to test, iterate, and improve its output. Authoring tools for multiple enterprise use cases (including HR).

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    One of the biggest challenges in creating VR learning and other immersive experiences (beyond hardware challenges) is content-related, so generative AI can help VR learning and other employees in these areas. It offers a lot to experience developers. Creating the actual content is difficult and can be a major barrier to adoption. They are often time-consuming, expensive to generate, and complex to deploy at scale. It's not that different from movie set or modern video game design.

    Think about all the components needed to create an engaging, authentic, and meaningful experience in a VR environment that can provide employees with a close connection to the environment they encounter at work. There are locations, buildings, rooms, equipment, and other features to create.

    Additionally, the environment must have people, characters, actions, voices, and sounds that make up a fully realized scene. These elements often need to be customized for a particular organization. In other words, the VR environment is not a typical office location and cannot be “his Acme headquarters in Lincoln, Nebraska.”

    So it's no surprise that it takes organizations months to design, develop, and deploy a VR training or onboarding environment. Often involves filming multiple scenarios, building custom animations and interactions, recording vast amounts of sound and dialogue, and combining all these elements into a consistent and effective experience. will become necessary.

    Generative AI can help create training outlines and complete scripts, generate assets such as images and 3D structures, and create detailed scenarios, significantly reducing the time needed to deploy customized VR environments. This technology can also create learning objectives and desired outcomes, as well as create complete plots and screenplays.

    You can then convert your script into “live” character voices and dialogue. After being trained on an organized library of images of sites, buildings, equipment, etc., it can create the necessary background and foreground images and settings that make up a VR scene.

    See also: How ChatGPT and other generative AI tools are transforming HR work

    Additionally, just as generative AI can quickly create multiple, targeted versions of content for ads (thinking about conveying different messages for ads based on the viewer's personal attributes) ), you can also expand it by generating more hyper content. – Personalized VR environment. These can be designed to support and enable each user individually based on their needs and attributes.

    Some of the AI-generated and trained models needed to achieve this capability may not yet be available, but the trajectory of AI progress suggests it won't be long before the technology is ready. .

    In 2024, I predict that the HR technology conversation will once again be dominated by generative AI. Let's take a moment to think creatively and expansively about the true potential of the technology as we explore together a new generation of emerging AI solutions and think about the potential of the technology.

    Put another way, using generative AI to write job descriptions or suggest content for employee performance reviews is great, but it's also great to use generative AI to create job descriptions and suggest content for employee performance reviews, but it's also great to use generative AI to create job descriptions and suggest content for employee performance reviews, but it's also great to use generative AI to create job descriptions and suggest content for employee performance reviews. Don't forget to think about what else you can do with generative AI, like automatically creating environments. Hundreds, if not thousands, of users may participate in the simulation.

    Does that seem outlandish? As well as a free tool that lets you write a 1,000-word article in 15 seconds on almost any topic you can imagine.

    Happy New Year 2024! We hope this is a great year for HR technology.

    Disclaimer: This article was not created by Gen AI.

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