Why I Am Betting My Career on Augmented Reality Glasses
Why I Am Betting My Career on Augmented Reality Glasses
A personal take on why AR glasses are the next platform shift, why I believe the everyday utility case has not been cracked yet, and why that is exactly where I want to spend my energy.
A personal take on why AR glasses are the next platform shift, why I believe the everyday utility case has not been cracked yet, and why that is exactly where I want to spend my energy.
I have spent eight years designing digital products for businesses. Most of that work, due to NDAs, will never appear in a portfolio. What I can say is that a large portion of the serious strategic conversations I have had with clients in the last three years have circled the same question: what is the next platform, and how do we prepare for it?
I have a concrete answer, and it is the foundation of my Master's research.
The adoption pattern is already visible
Platform shifts tend to look obvious in retrospect and uncertain in real time. What makes me confident about AR glasses specifically is not a hunch, it is a convergence of observable signals.
Consumer demand for wearable display devices is already measurable. Meta paused parts of the international rollout of its Ray-Ban smart glasses in early 2026 citing inventory constraints after strong U.S. demand. That is not a speculative indicator. That is a supply problem caused by actual purchase behaviour.
More structurally: a significant portion of people already wear non-prescription glasses as a fashion accessory. The face is already a socially accepted surface for a wearable device. AR glasses do not ask people to adopt an unfamiliar behaviour. They ask people to upgrade something millions of them already do daily. That is a fundamentally different adoption challenge than strapping a headset to your face.
The gap that makes this research relevant
Here is the problem: the hardware momentum exists, but the utility case does not yet. A 2025 digital ethnography study published at CHI analysed public video documentation of real-world wearable AR use and found that adoption remains concentrated in media consumption and gaming, while productivity-oriented value is described as "unrealized potential," constrained by immature application ecosystems and persistent hardware limitations around comfort, power, and contextual robustness.
That finding matters because it frames exactly where the research work needs to happen. It is not a hardware problem anymore, or at least not only a hardware problem. It is an interaction design problem. We do not yet have validated, well-designed applications that demonstrate clear utility in everyday contexts.
Why retail, and why now
Retail is not a random choice of context. It is one of the few everyday environments where the conditions for AR utility already exist simultaneously: a defined physical space, a task with measurable outcomes, information needs that are both frequent and predictable, and an industry that has already begun integrating IoT infrastructure to support smarter customer experiences. You can design an AR prototype for grocery shopping and actually test whether it helps, because the success criteria are concrete: did the user find the items faster, with less effort, and with a better experience than they would have had with a smartphone?
That testability is what makes retail a serious research context rather than a flashy demo environment.
My Master's thesis at FH Joanneum is built around exactly that question: can head-worn AR, connected to IoT-based contextual data, measurably improve the in-store shopping experience compared to a standard smartphone baseline? It is a controlled study with a working prototype, defined metrics, and a direct comparison condition. Not a concept. Not a design fiction exercise. A study designed to produce findings that can actually be evaluated.
The next post goes into what that study looks like in practice.
You can have the review of the Proposal here https://mseymur.framer.website/masters-proposal
I have spent eight years designing digital products for businesses. Most of that work, due to NDAs, will never appear in a portfolio. What I can say is that a large portion of the serious strategic conversations I have had with clients in the last three years have circled the same question: what is the next platform, and how do we prepare for it?
I have a concrete answer, and it is the foundation of my Master's research.
The adoption pattern is already visible
Platform shifts tend to look obvious in retrospect and uncertain in real time. What makes me confident about AR glasses specifically is not a hunch, it is a convergence of observable signals.
Consumer demand for wearable display devices is already measurable. Meta paused parts of the international rollout of its Ray-Ban smart glasses in early 2026 citing inventory constraints after strong U.S. demand. That is not a speculative indicator. That is a supply problem caused by actual purchase behaviour.
More structurally: a significant portion of people already wear non-prescription glasses as a fashion accessory. The face is already a socially accepted surface for a wearable device. AR glasses do not ask people to adopt an unfamiliar behaviour. They ask people to upgrade something millions of them already do daily. That is a fundamentally different adoption challenge than strapping a headset to your face.
The gap that makes this research relevant
Here is the problem: the hardware momentum exists, but the utility case does not yet. A 2025 digital ethnography study published at CHI analysed public video documentation of real-world wearable AR use and found that adoption remains concentrated in media consumption and gaming, while productivity-oriented value is described as "unrealized potential," constrained by immature application ecosystems and persistent hardware limitations around comfort, power, and contextual robustness.
That finding matters because it frames exactly where the research work needs to happen. It is not a hardware problem anymore, or at least not only a hardware problem. It is an interaction design problem. We do not yet have validated, well-designed applications that demonstrate clear utility in everyday contexts.
Why retail, and why now
Retail is not a random choice of context. It is one of the few everyday environments where the conditions for AR utility already exist simultaneously: a defined physical space, a task with measurable outcomes, information needs that are both frequent and predictable, and an industry that has already begun integrating IoT infrastructure to support smarter customer experiences. You can design an AR prototype for grocery shopping and actually test whether it helps, because the success criteria are concrete: did the user find the items faster, with less effort, and with a better experience than they would have had with a smartphone?
That testability is what makes retail a serious research context rather than a flashy demo environment.
My Master's thesis at FH Joanneum is built around exactly that question: can head-worn AR, connected to IoT-based contextual data, measurably improve the in-store shopping experience compared to a standard smartphone baseline? It is a controlled study with a working prototype, defined metrics, and a direct comparison condition. Not a concept. Not a design fiction exercise. A study designed to produce findings that can actually be evaluated.
The next post goes into what that study looks like in practice.
You can have the review of the Proposal here https://mseymur.framer.website/masters-proposal
