We already know it, the future of digital design is in the context. Users will experience adapted and personalized solutions based on stable sensors, large amounts of behavioral data and advanced computing power. Imagine that when you listen to music the device already knows what songs and volume you desire, when you turn on the tv it identifies your finger print and plays your favorite show on demand, and when you browse the tablet on the run it displays content according to your motion. Contextual design in "Internet of things" comes with great opportunities, that's for sure - now we just need to figure out how to make use of it in the best possible way.
We enter a generation of sensory based technologies that are supposed to improve our quality of life. Personalized web design is about interpretation and delivery, in other words to implement the right experiences for the right users in the right moments for the right devices. And according to this short but useful article that's best achieved by adapting designs to contextual data like demographics, historical behavior and situation of use.
Big data from various channels combined with context aware technology promise an interesting future. In fact, we are now able to capitalize on an endless sea of user generated information by extended insight, behavior detection and environment identification, which are pillars of personalized experiences. Mind blowing, right? Assuming no one suddenly decides to use the power of being big brother for questionable objectives. Despite this, as a naive opportunist with ux design ambitions, I think the possibilities overshadow the risks and I can't wait to see where big data will lead us.
Users are showered by digital impressions daily, and the flood of content is growing. As a result it's becoming more difficult to find relevant content, but with the right technology we can design solutions that make navigation easier for the users. One way to simplify the search for relevant content and improve the experience is through personalisation and recommendations.
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