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“Instead of constantly looking at a smartphone, for example, you are able to follow an invisible guide that informs you where to go. Look up and take in the scenery instead of staring at a map.”
The watches can also be linked with the phone so that in the case of a misplaced mobile phone, one can dial a few buttons and recover the phone.
Some will even alert the user when there is a new notification on the phone, and some provide for picking calls and replying to texts.
Majority of them are also fitness watches, helping users keep track of how their bodies are functioning.
The devices can count the number of steps the user walks, the distance covered while at it, calories burnt in the process and the user’s heart rate.
Others will show if the user has slept enough, or it is lunch time and maybe they need to take a break.
Developers have come up with smart applications that are able to gather smart data from sensors, using machine learning algorithms and predictive analytics, to create a better user experience.
These apps give a user-interaction where through monitoring behaviour, they can guide, or forewarn, users.
Many of them have one or a combination of natural language processing capabilities (including voice-to-text features and “readable” voicemail messages), and augmented reality (integration of virtual elements with real-time), sensory hardware such as GPS and predictive analysis.
The purpose is to enable the user to avoid unnecessary focus on some of the issues or tasks that would normally preoccupy his mind.
Also, to ensure that some of those things that the user does not have to be conscious about are not ignored in the end.
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