Artificial Intelligence is already being implemented in diverse industries. Thanks to machine learning, this technology promises to increase productivity, efficiency, and even to reduce costs.
AI is also slowly shaping the world of UX design. Today, when providing excellent user experience is of utmost importance for any brand, businesses are starting to rely on AI to help them improve UX.
In this article, we’ll explain ways you can use AI to solve some UX design problems.
What is UX?
To put it simply, user experience (UX) is how you feel when you engage/interact with a product or system, usually a website, mobile app, etc.
UX design is, therefore, the process of creating products (websites, apps) that provide a meaningful experience to users. Their job is thus to make sure that a website is functional and user-friendly.
They do far more than simply design the user interface. What UX designers strive to achieve is enabling efficient and fun user experience. That means their job includes all aspects of a product including branding and function.
Why is UX so important? Because most users will leave a website that doesn’t provide good user experience (e.g. isn’t optimized, images loading very slowly, etc). Since we want users to stay as long as possible on our websites, ensuring the great user experience is a must.
How Can AI Help You Improve UX?
AI is capable of processing vast amounts of data very quickly. The technology helps us learn more about who our customers are and use that knowledge to improve user experience.
The following are the areas where AI can help solve problems:
- Data Analysis and Usability testing
- Emotion AI
- Personalized ads
Data Analysis and Usability Testing
As we have previously said, AI is capable of processing large amounts of data and this enables quantitative usability testing.
This allows us to track UX metrics and collect information about bounce rates, the device the user is on, their location, what time they visited a website and how long they stayed, what pages users visited, what products they viewed, etc.
A vast amount of information gathered in this way helps businesses understand who their consumers are as individuals, what they liked/disliked etc. By analyzing consumer behavior, AI helps UX designers to create a more personalized design which leads to better user experience. This means that we can tailor website design according to what users like.
Robots can’t display emotions as we do, but they can certainly detect it thanks to artificial emotional intelligence (Emotion AI).
Thanks to facial recognition software, data analysis, and machine learning, AI can analyze our emotional responses to certain designs, products, websites, etc. This is invaluable for marketers and UX designers alike as it enables them to discover and create content/design that is most likely to engage/spark an interest in users.
AI can thus categorize our responses into categories such as happy, angry, frustrated, sad, etc. Based on our behavior (emotional and facial response), AI s can show us different designs that are more to our liking.
Consumers no longer react to countless ads they see online every day. It is becoming harder and harder to reach potential customers on social media and competition is fierce. People are exposed to thousands of ads daily and most consumers use tools to block ads. On top of that, the human attention span is now shorter than that of a goldfish, according to a study. Only 8 seconds.
It all makes it extremely difficult to get your message out there and reach new customers.
Personalized ads can solve this problem and this is where AI helps. Social media is filled with information about consumer preferences and activities and AI collects this information.
Pages we like, photos we share and comments we leave…AI records all of that. This pool of information can then be used to segment your audience and show personalized advertisements accordingly.
Do you want to improve user experience? What better way to do that than by employing virtual assistants!
AI-powered systems called chatbots are friendly, responsive, efficient tools that many businesses are now incorporating in their UX designs. Chatbots are also called virtual agents and they are taking customer service to a whole new level.
Chatbots are able to provide instant answers to simple user questions and they are active 24/7. They communicate with users in a friendly manner and are able to assist them in their queries and purchases.
Thanks to machine learning, chatbots are able to learn from these interactions with users. What’s more, they never get tired or frustrated when dealing with a rude customer. It’s already clear that AI is revolutionizing customer service and significantly improving UX. Many businesses have seen a boost in customer satisfaction after implementing these AI-powered virtual agents.