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Artificial Intelligence's impact on UX Design

Mariel Lettier

Table of Contents

What is User Experience?
What is Artificial Intelligence?
How does AI impact UX Design?
How does AI affect UX Design?
Will UX design be automated?
UX through the AI cycle
The role of UX in AI
Conclusion

As we’ve seen before, User Experience (UX) design is an essential part of product development. Also, it affects brands' reputation, customer loyalty, and sales. As we know it, this concept has been around for around three decades. Yet, it has been becoming more relevant within that time. Meanwhile, Artificial Intelligence (AI) has been around for quite a bit. While it became a research topic in the 1950s, it kicked off in the 1990s. Over the last couple of decades, AI has made strides, becoming an intrinsic part of our daily lives.

So, what happens to UX Design when we add AI into the mix? Does this mean User Experience will ever become automated? In this article, we’ll take a look at this and more. But first, let’s review these two concepts.

What is User Experience Design?

Well, the name itself gives us a clue. UX revolves around the experience a user has when using a product. For example, how someone reacts when interacting with a website or mobile app. Yet, it does not just involve the product itself, there are other aspects to consider. For instance, these include customer support, sites related to the product, its community, etc. Furthermore, there are many facets to UX design, such as usability, visual design and accessibility.

What is Artificial Intelligence?

There is a simple notion behind Artificial Intelligence as a concept. As a summary, it is the fact that computers can learn based on existing decision-making examples. For instance, these include speed recognition, self-driving cars, and smart assistants.

How does AI impact UX design?

As we’ve mentioned, Artificial Intelligence has become an intrinsic part of our lives. Nowadays, pretty much every industry is incorporating AI in one way or another. For instance, it can be to automate processes, reduce costs or to increase efficiency. Of course, the digital transformation industry is no exception, and it has definitely transformed UX. Below, we’ll focus on what AI has brought to the table, as well as some ways in which it has changed UX design.

What does AI bring to the table?

User-Centric Design

It is no revelation that UX design revolves around the user. To do so, AI provides help by analyzing data quicker, providing hyper-personalization and using dynamic testing.

Delivering UX

Artificial Intelligence offers automatic and intuitive responses that can improve the user experience. As a result, AI-based algorithms can help to create various designs to respond to users’ needs.

New Tools

There are currently various AI-powered tools available for both UX and UI design. Moreover, these tools save time, make it easy to create stunning designs and help increase productivity. Some examples include Attention Insight, Let's Enhance and Colormind.

Hyper Personalization

AI also helps take personalization a step further. In some cases, this can be through personalized recommendations and experiences, and dialog interfaces, to name a few.

Advanced Localization

With proper training data, AI can also provide advanced localization. Through Machine Learning and Deep Learning, it makes for more scalable localization.

How does AI affect UX?

How does AI affect UX?

Behavioral data is an important part of digital services. Now, a new array of UX becomes possible, with recommendations, contextualization or predictions. Below, we’ll list some of them, while discussing challenges and innovations that AI triggered in UX design.

Engagement

Everyday, companies use data and algorithms to rank their contents and promote them. As a result, AI has been deeply exploited. In this scenario, UX design can use this information in a wise way. This will allow them to not trick users or play with their emotions, for the sake of engagement metrics.

Discovery

This type of AI-powered UX includes recommendation systems. To name a few, these systems are on giant platforms like Netflix or Spotify. When it comes to UX design, some adjustments can make them work in a superlative way. For example, Spotify lets users remove a song they don’t like from its customized playlists. In consequence, it prevents the inclusion of similar content in the future. Tweaking algorithms to not base suggestions only on past behavior is another field of User Experience design.

Decision-Making

Artificial Intelligence can be helpful when it comes to decision-making. Yet, it sometimes can come with a catch. For instance, an app or digital service may not have access to all users’ information. Let’s say a financial advisory app if a user has many accounts from different banks. In this scenario, it will be unable to provide accurate information or well-informed suggestions. At this moment, UX design comes into play by finding ways to include feedback. With this info, it can better reflect the accuracy of information and lets users make sound decisions.

Uncertainty

AI —particularly, Machine Learning— can include a degree of uncertainty. As a concept, algorithms are looking for patterns within sample behaviors, to approximate the rules behind them. So, to work with them, this uncertainty must be taken into consideration on User Experience to not mislead users. As a mix, seamless design is a great way to go in this case: it focuses on exploiting failures and limitations to improve the UX.

Will UX design be automated?

Artificial Intelligence can definitely automate and improve certain parts of the user experience. Yet, UX requires human input to understand and translate users’ needs into a product. Yes, AI is becoming an important design tool to meet the ever-shifting demands. But, the truth is, it’s unlikely to replace human designers.

UX through the AI cycle

UX through the AI cycle

UX (and UI, for that matter) have a crucial role in the success of any AI product. Thus, User Experience must be present throughout the entire development and implementation process. Like any digital project, UX has a say in the dev process, since you need to understand users’ needs and wants.

The role of UX in AI

We went through the importance of considering UX through the AI cycle. Now, let’s focus on its role by going through each stage of it.

Research and Discovery

As we’ve mentioned, User Experience is key to determine what’s actually developed for a product to meet users’ needs. In this stage, UX will help you understand if the AI model can help users with this particular problem.

Product Development

Once you know what users need, you can design an AI model. To do so, you must take into consideration what you’ve learned in the previous stage. As a result, you’ll create an more intuitive and functional product.

Testing and Iteration

After creating the AI model, you’ll need to gather feedback from users. Because of this, developers will make informed decisions about potential changes.

Implementation and Communication

When implementing any changes to your product, effective communication is key. In order to maintain transparency, you must know that there are many users still hesitant about Artificial Intelligence. So, to fidelizate them, explaining any related changes in a simple manner will ensure a better reception.

Conclusion

Artificial Intelligence and User Experience design inevitably interlink. As AI is here to stay, it is important to know how it interacts with UX and the impact these two fields have on each other. We hope this article has given you a clear overview of these issues and how UX may evolve thanks to the advances in AI.


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