With renewed attention to smart glasses thanks to Meta’s Orion, spatial computing is once again on people’s radar. AI’s natural interface capabilities and multimodality are proving to be powerful, leverageable tools for bringing information technology into the physical world.
Read MoreObserving how different generations interact with technology can be a surprisingly successful strategy for discovering new users to serve. In tech, we often have a blind spot when it comes to designing for users older or younger than ourselves. But broadening our perspective can reveal new opportunities for creating not just business value, but also meaningful changes in people’s lives.
Read MoreStartup Archetype AI is fusing physical sensor data with LLMs to create an AI model that will "encode the entire physical world." This approach means that natural language becomes a translation layer used to both interpret input (i.e., sensing) and to issue commands (e.g., controlling a robot arm). This work is exciting but also hard to access. What can a regular person do to start experimenting with and preparing for this type of tech?
Read MoreIn the US, thanks to Apple, “spatial computing” has become synonymous with “augmented reality.” This is not so in other parts of the world; nor does “spatial computing” only encompass future-state tech.
Read MoreAn article in this month’s issue of The Fabricator underscores that physical industry workers are not experiencing the same AI boom as information workers. Are we so accustomed to designing for information workers that we’re overlooking opportunities to serve new audiences?
Read MoreJust because you’re not seeing widespread consumer adoption yet doesn’t mean that spatial computing is languishing! Augmented reality is clearly following the “industry-first” trend we saw with Internet of Things and smart devices.
Read MoreYou’d be hard pressed to get a better snapshot of the self-identified “spatial computing” landscape than AWE 2024. And it shows that there continue to be major disconnects in how different players are thinking and talking about spatial computing.
Read MoreApple's new Vision Pro enterprise APIs are fairly straightforward, but are necessary upgrades for industry. The example use cases Apple discusses are the same as for HoloLens. This is further evidence that the early adopters of augmented reality and spatial computing will be in industry.
Read MoreIn this post, I share my high-level impressions of key spatial computing trends in 2023. Topics covered are hardware, including the Apple Vision Pro and Humane Ai Pin; generative AI, including visual understanding and conversational input; and the metaverse, including VR adoption and divestiture. 2023’s developments indicate that it’s a good time to make sure you’re paying attention, learning relevant skills for spatial computing, and that you know where to go for help.
Read MoreAs spatial computing technologies become more convenient and cheaper, and new form factors like Humane’s Ai Pin continue to emerge, it’s clear that the divide between information technology and industrial automation is going to dissolve. What will it take for the paper in factories like Toyota’s to be replaced by something else? And how can we anticipate what that “something else" might be?
Read MoreSpatial computing offers new opportunities to serve people with physical workflows. In this post, I share recent accounts of pain points from people in healthcare, logistics, and construction, along with recommendations for how to approach innovation in new industries responsibly.
Read MoreIn a blink-and-you’d-miss-it moment in Monday’s WWDC 2023 keynote, Apple called back to some foundational spatial computing work I did at Microsoft, as part of their unveiling of the Vision Pro.
Read MoreIf you’re a product leader tasked with figuring out what mixed reality means for your products or services, you should expect to evolve your processes and tools. To give you a head start on the changes you’ll need to make, here are four questions you can start thinking about today.
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