From cooking to use in various industries and mathematical sciences, artificial intelligence has now penetrated everywhere. According to research conducted by the Gartner Institute, companies based on artificial intelligence services have experienced a 21-year growth in 2022, which has caused more robots and artificial intelligence to penetrate people’s lives. Currently, in this article, we have nothing to do with artificial intelligence services in nutrition and lifestyle. We intend to conduct a specialized study of the effect of artificial intelligence on user experience or UX. If you have expertise in this field, I suggest you don’t miss this article to learn about the latest methods of interface design and user experience.

Benefits of artificial intelligence in user experience design

Most people think that the future of artificial intelligence is only limited to a few scientific projects in which artificial intelligence contributes to the completion process. If such an approach to artificial intelligence is wrong. Artificial intelligence is a supporting science for all the things that humans can do. Almost something like an assistant that reminds you of information, basics, etc. Now we want to check the positive effect of this support on the user experience.

Product personalization and customization

The performance of user experience teams is measured by the personalization of the product they provide to the user. The fact that a team can design a product based on the user’s interests and performance has created the best user experience in the world. Especially if they can do this for different categories of users.

Of course, it is better to know that these tasks are only simple in expression, and when it comes to action, from collecting information to analyzing and making decisions, most of the experts are weak. Artificial intelligence here supports the user experience team and with the process they define for it, it starts collecting, categorizing, and analyzing information so that the user experience team has a more open hand in decision-making and a more accurate understanding.

In short, the use of artificial intelligence in the user experience leads to the development of a customized and special product, and this increases the value of the product immeasurably.

Automation and more productivity in the team

If we briefly examine this benefit, we have to settle for one sentence, i.e. doing things by the robot. The goal of user experience is to produce or develop a product without challenges for the user. A product that the user can turn around without thinking about and use the services he wants. Now imagine that the team that wants to develop such a product should worry about simple and mundane issues such as image creation, or for example, the tool they have for creating components is not optimal at all and makes their work difficult.

Artificial intelligence comes to the aid of experts in this field. For example, Adobe, one of the biggest brands in the design industry, has worked on a design tool that coordinates images with the help of artificial intelligence without the need for an expert to perform thousands of different tricks.

Naturally, when time is saved, the productivity of the team and product development will go better and the work will be done automatically.

Collect and interpret information

It is not strange that we mentioned the collection of information and their interpretation in the section on the benefits of artificial intelligence. A user experience expert must also have the art of collecting and interpreting information. This is where AI comes in to help UX experts. Collecting and interpreting the information obtained from the users of a digital product may not be a difficult task, but it is very, very time-consuming.

A design and development team must spend hours adapting various issues and foundations to the information they have obtained. Artificial intelligence or machine learning can advance the process of interpreting this information and collecting it better, faster, and more accurately.

By specifying different protocols for a robot or search engine, you can easily get the most comprehensive information, categorize them and draw conclusions. For example, look at Google Analytics. It sends you monthly or weekly text reports instead of numbers. Naturally, you should not expect their employees to write these reports.

The role of user experience specialist in artificial intelligence-based products

So far we have talked about artificial intelligence as a support for user experience expertise. Artificial intelligence helps you in projects like a tool that can check and monitor all parts of a product. Now think about it, you are facing a product that uses artificial intelligence in its services. For example, instead of a support force, there is a chatbot. As a user experience specialist, a different task awaits you, which we will discuss in this section.

Build trust

When faced with such projects, the most important task of a user experience specialist is to build trust between the user and the product. The user must be able to trust the artificial intelligence used in this product, otherwise, the brand is useless. Trust is an integral part of products based on artificial intelligence, which can be created by training the user, transparency in performance, flexibility, and integrity.

Building trust between a user and an AI-based service may be a bit difficult, as it is a bit hard to predict the user’s behavior after experiencing the product’s performance. However, some methods will help you in this process.

In general, trust building is divided into four stages or sections:

  • Competence
  • Benevolence and openness
  • Integrity
  • Charisma

A product based on artificial intelligence, considering these four pillars, should be able to communicate well with the user and display its capabilities.

In general, AI empowers designers and developers to create great and often dangerous tools. Of course, danger does not mean making bombs here, but services based on artificial intelligence store and data mine users’ information more than before, so you must be careful about its operation so that it does not store and check different user information from an ethical point of view.

Product usability testing

As mentioned, the behavior of products based on artificial intelligence or machine learning with live users cannot be predicted very much. One side of the story is predictable and the other side is unpredictable, and this issue can end in the destruction of the product. To prevent behavioral or software bugs, user experience experts get to work and check the functionality and usability of the product in different ways.

For example, a specific community that does not know the product is chosen to test and work with the product and examine the problems and wrong answers of artificial intelligence.

The thing you should pay attention to is that you should never be aimless with product testing and test even the smallest movements of artificial intelligence, because when the users of the product go up, a small problem may be seen by thousands of people and a bad experience using your product will be registered in their mind.

Explanation to users

Explain to your users exactly what the AI in your product is, what it does, and what it doesn’t do. For example, if the information is shown to the user or a prediction is sent to him from the product side, be sure to explain to them how to function and obtain this information. I recommend making sure the user understands your explanation.

Artificial intelligence and user experience design

Now it’s time to summarize what we said about the role of the user experience specialist in artificial intelligence-based products and the role of artificial intelligence in helping experts in this field.

In general, there are 2 main ways that artificial intelligence can help professionals:

  • Automate daily tasks

If you have a system, tool or platform, etc. that relies on artificial intelligence, I suggest that you leave the burden of routine and daily user experience tasks on them and engage in technical analysis and more important work yourself.

For example, many tools create product wireframes after collecting information and creating user movement flowcharts. You can leave such tasks to artificial intelligence and simply wait for them to finish.

  • Collect and interpret information

When it comes to post-launch product reviews, gathering and interpreting data is the most important job of a user experience specialist. You can leave such work to artificial intelligence algorithms. When they collect and categorize the information well, why should a team of several people do it?

Although this article was more about artificial intelligence and its effect on the user experience, we suggest you follow both specializations so that you can know the relationship between these two specializations and the help they can give each other.

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