Skip to content

Restructuring the UI designing with AI

Making interaction better, smarter, and faster than ever

AI has the capability to improve not just human lives but to self-improvize. And this has given the complex human lives a hope of creating a world where everything would be available even before you utter words or think of it.

The field of AI-research is never-ending and so are its actual implementations. One such out of the blue invention could be making UI designs with AI’s performance forecasting.

So, let’s proceed and dig out more.

What is AI-enabled UI?

A new world of personalized designing experience

Before taking a tour of how AI is influencing User Interface(UI) designing, take a shallow dip into why this emphasis on UI.

UI is the bridge of understanding between a human and a machine. It’s the medium of human-machine interaction, with both ends having their own set of language.

Now, coming back to AI-enabled UI, it is one more door towards making our future less complicated. Integrating AI into UI designing is relatively new and in the initial stage. But it has rapidly caught the attention of every business willing to earn more ROI.

And why not so? Let’s move ahead with examples to make it a bit simpler and comprehensible.

.  .  .

Imagine you are planning to go on a trip with your friends. One of them is a hodophile and he suggested places based on everyone’s preferences. He also decided the flight-route and scheduled your journey-date best suited to your pocket and fun-exploration within no time. He seems to be a sharp mind who takes care of everyone’s likes and dislikes and is well aware of the world, right?

Now, think of an AI-platform as that friend contacting a travel agency or flight-services based on your past choices. It selects hotels near the area you might be interested to visit and chooses the best time and place based on tourist reviews and satisfaction.

.  .  .

Let’s take another example of your routine. What a great relief it would be for you if Amazon Echo does the job of switching on or off your home appliances? You can then sit in the office enjoying your desk-coffee or come back home with no fears. It would be a pleasant feeling if this voice assistant plays your favorite song when you reach home after a long dreadful day.

.  .  .

And none of these include spending minutes on your digital devices and struggling to give instructions to get things done. It comes within a click of a button or voice interaction.

This is nothing but UI-thinners. An AI-enabled UI reduces the barriers in process flow and serves the user with a menu of personalized options on his digital plate.

Another breakthrough in the AI-powered UI is virtual assistant or conversational UI. Amazon’s chatbot service handles customer queries within a fraction of a second and suggests products or app navigation with no space for a time or performance lagging. Chatbots or voice assistants have promised solutions faster than your blink.

But what goes behind this extraordinary AIUI and your small screen? Let’s find out more about this.

What runs behind the curtains?

How AI-UI eases our interactions?

When context awareness and sensors are incorporated with AI, the AI-UI duo converts a user’s thoughts into a real entity.

An AI-powered UI can be integrated with many other softwares to make real-time changes in the design. It may seem like a stroke of luck from the user-end. But from the AI perspective, it’s a full-grown process of recognizing the user, fetching his interests from other platforms, and presenting only what he likes. AI follows 3 steps to automate UI/UX designing:

  1. Observe and learn

  2. Extract surrounding or external knowledge

  3. Intelllecualize decisions

AI surveys the hardware sensors fit into a user’s devices, online repositories, and other information resources. After the primary phase of data accumulation, in the next step, it separates knowledge from the external environment such as reviews, number of visits, APIs, and more. When this clean-knowledge is moved to the next step of decision making, it analyzes patterns and probability matrices.

To simply put this, what AI derives based on the data and behavior analysis is that which design section attracts more customers, which sections are bug-prospects or discourage users to navigate ahead. Sometimes a replacement in the button-position may highlight your business motive and can improve call-to-action.

The frontrunner businesses such as Adobe, Expedia, Google, Airbnb are already shifting towards AI for making the UI-designing process accurate. Adobe’s AI-platform Sensei speeds up editing in the design and with self-made decisions and lets you not lose your focus from users. Airbnb’s AI-based sketching interface renders the hand-sketches into codes and saves the testing time of a design and lets one be involved in creative aspects.

AI combines human behavior with and designing modules and delivers a product that is more convenient than ever for a user.

Endnotes: a threat or a blessing?

With numerous use cases fed to AI-algorithms and predictions based on trends and knowledge, how can AIUI fail to be a boon to humans? In no present or future it will replace the need of a current UI designer. AI will rather complement his efforts and save him from tedious and time-consuming prototyping and testing.

The aim is to assist businesses in creating a user-relatable experience and to make it happen, the industries need to treat AI as a tech-ally, not a foe.