Using AI to Create User-Friendly Experiences
AR is expected to make a big splash well into the 2020s and beyond. The technology has already left a lasting impression with the Nintendo Switch and various smartphone apps. As a result, advertisers are hard at work learning how to leverage the technology to get closer to consumers.
READ: AI-Powered Face Recognition on the Vuzix Blade
However, AR tech is in its infancy. Moreover, smartphones leave much to be desired when accessing computer-generated real-world environments.
This is set to change as smart glasses grow in popularity. Soon, digital experiences will be rendered in smart glass lenses, allowing users to manipulate virtual objects with their hands.
Machine learning is set to revolutionize the way you interact with the digital world. Credit: Forbes
Individuality through Algorithms
In order to build tailored, unique experiences, machine learning will ensure users forget they’re wearing glasses at all. Developers will be able to track user preferences to build intuitive smart glass interfaces.
Essentially, the glasses will learn on-the-fly about a number of things. The implications are exciting and varied.
For starters, they’ll ensure users are exposed to apps and content they’re likely to find useful or interesting. Granted, this tech already exists via cookies.
Vuzix smart glasses are designed to make your life easier
Life Made Easier
Where machine learning takes off on smart glasses is in usability. Whether it’s the cadence of your voice, or whether you enjoy receiving visual reminders or cooking, the glasses will cater to your every tendency.
The technology will eventually be able to map your house to create a seamless digital experience.
Ultimately, these algorithms will eliminate many of the boring tasks that permeate our lives – letting us work with increased efficiency and giving us more time for what matters most.
Share:
Vuzix’ Smart Glasses Leadership Continues as Blade is Officially Safety Certified
Future Friday: Smart Glasses to Revolutionize Tourism