Artificial intelligence is all about having the ability to manage the tasks, dig deep with data mining and fetch results that humans can hardly accomplish. It is not an imaginary concept anymore but has applicability in real-time and real life scenario. Some of the most common examples of AI managing systems and activities are that of Siri for Apple, Cortana for Windows, and Google Assistant for Google and Echo for Amazon. All these are the context-based intelligent chatbot which aim to remind, guide and advice you promptly and timely. Some are navigational intelligence which helps reaching the destination, some other automated information processing identifies and traces search patterns for better findability of content.
How does AI in UX aid findability?
Artificial intelligence is a combination of multiple technologies like machine learning, deep learning, virtual reality, chat bots and a lot more. AI is all about inculcating intelligence into machines and devices by means of unique algorithms which imitate the human behaviour patterns and utilize the extraordinary realising power of humans. This distinctive capability of human beings from the basis of programs which enable these AI supported devices to analyse, the data, form patterns and extend support in decision-making.
Now the question arises how AI helps in better findability? Though humans too can analyse the usage data, time on services and other feedbacks received from direct interviews or forms. But AI can analyse large amounts of structured or unstructured data received from data mining tools and conclude it in a way which can help you identify the problem and even aid in solving it with analytics.
How to train AI?
The next big thing to do is to train AI on what it is supposed to do? Being very quick on analysing huge data in far less time than it takes to be done manually, AI understands the basic concept and the context in which their output is used. So it can be easily trained by feeding some rules or questions as additional information for AI.
For an instance, when you work on a design phase with major considerations on user experience, you can just constantly refine and define the questions to your AI system. AI will intelligently accept and analyse the data, learn and even respond and revert back to you with the best possible answers. Every time a new criterion is fed in the system, it adjusts and conditions itself using AI to optimise the user experience that you require. This is because the system takes your queries, uses the data offered, analyses, learns and starts putting up questions on its own. It builds a better connection, identifies the trend, and offer analytics which are far richer than human findings.
Information Architecture and AI
The role of AI in designing better information Architecture is really vital. As IA is all about creating an appropriate grouping for content that is meaningful for the users. Now what AI can help us with is, to discover content, analyse and employ the trends in content related data and offer relationship between the content. AI performs the most important task of identifying relationships between various content types, analysing the path that users take to navigate through a site or an app and putting the findings of both the aforesaid tasks into action and offer right and most appropriate links to your user at right time. AI acts just like a strong connection between the content provider (like your content management team) and the user (by helping in navigation structure for your site or app)
By this blog we intend to make you aware of the upcoming trends and scenarios of the future and their real application and benefits in improving your user experience.
We even hope that this shall help you add value to your website or app and enhance your traffic.