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 MoreAt Austin Tech Week 2024, companies from startups to Meta shared their design process for AI. These were the four principles they all agreed on.
Read More“For truly transformational innovation, markets are hard to size. And often the bigger question is whether people will actually use this.” This quote from Austin Tech Week rings very true with my experience in the world of emerging tech product innovation. Here’s what I do instead of calculating TAM.
Read MoreIn 2020, I shared remote product discovery techniques for businesses trying to pivot during the pandemic. Before I could do that, I had to dismantle some common myths that prevent teams from conducting research in the first place.
Read MoreEmerging technology creates perplexing problems for user-centered design, such as: how do you take a user-centered approach when it’s too early to have a defined user? Does this mean you should throw out user-centered design, or choose your target user based solely on TAM?
Read MoreLast week I conducted in-person interviews with a high-risk participant pool. Normally I would have worn an N95 mask, but at least 1/3 of our participants also had moderate to severe hearing loss. So instead, I wore a transparent face mask to ensure we’d still be able to communicate. Here's what worked and what didn't.
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 MoreWith all the hype around AI, it’s hard to recognize what issues are attention-worthy. So last week’s Rosenfeld Media community workshop on AI was a valuable opportunity to see what questions are top-of-mind for the UX community.
Read MoreAI is a technology with rippling systems-level effects. Collaborating across diverse disciplines is the only way to begin to understand the full implications of our AI design decisions. This is the focus of an upcoming community workshop I'll be moderating on artificial intelligence.
Read MoreIn Rosenfeld Media’s upcoming Advancing Research community workshop on artificial intelligence, I’ll be talking with Rachael Dietkus, Nishanshi Shukla, and David Womack about what researchers and tech professionals can do to mitigate issues in AI tool use, from psychological harm to users, to damaging our knowledge bases.
Read MoreFriction is the #1 killer of research repositories. I recently spoke with insurance technology company Guidewire about strategies for keeping friction low and ensuring that research repositories provide enduring value for researchers and research consumers alike.
Read MoreAnalysts argue we’re entering the “Trough of Disillusionment” for AI. That may be bad news for investors, but for product teams, it offers new opportunities to build products that solve more meaningful problems for their users.
Read MoreVideo data and person detection are important for a growing number of IoT/smart device applications, but many existing approaches require raw video to be transmitted into the cloud before biometric features can be redacted. Iravantchi et al. have found a new way to redact humans from videos before any video data is uploaded, or even stored on the device itself.
Read MoreA lot of my work focuses on helping emerging technology teams find product/market fit. But this can be important for teams innovating with established technologies as well. There are three common situations where the need to find a new market arises: slumping sales, realizing your existing market is too small, and designing for emerging technologies.
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 MoreAman Ibrahim created TerifAI (as in “terrify”), a bot that can clone your voice after only a minute or so of conversation. It’s an incredible demonstration of the rapid development (and growing threat) of voice cloning AI, and an example of why the need for biometric voice redaction is becoming more urgent.
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