As we’ve seen before, User Experience (UX) Design is essential to Product Development, affecting companies’ reputation, loyalty and revenue.
The concept of UX Design has been around for decades, yet it’s becoming increasingly more relevant as Digital Product Development evolves to cater to user needs.
Likewise, while it’s been a research topic since the 1950s and an application field since the 1990s, Artificial Intelligence (AI) recently became a core edge of our daily lives.
What happens to UX Design when we add AI into the mix? How has AI been affecting UX Design? Does this blend mean that User Experience will become automated? Let’s find out!
What is User Experience Design?
User Experience, also known as UX, focuses on users’ reactions and interactions with a digital product or service, guaranteeing it meets needs and desires.
What’s more, beyond physical elements, UX Design aims to provide meaningful experiences, which is a key aspect when considering business success.
The concept of User Experience design encompasses aspects such as usability, usefulness and accessibility to ensure that all users enjoy all interactions with a digital product.
What is Artificial Intelligence?
There is a simple notion behind Artificial Intelligence (AI)— the idea that computers can learn based on existing human-made decision-making examples.
Some known applications of Artificial Intelligence include Smart Cities, the Internet of Things (IoT) and intelligent assistants like our beloved Alexa and Siri.
Artificial Intelligence and User Experience
As mentioned, Artificial Intelligence has become an integral part of our lives, with pretty much every industry incorporating AI in one way or another.
The IT industry and its focus on Digital Transformation are no exceptions! AI helps companies automate processes, reduce costs and increase efficiency.
But let’s go a little deeper into brought by Artificial Intelligence in UX Design.
Features of AI User Experience
- User-Centric Design: As UX Design revolves around users and audiences, AI allows teams and companies to analyze data more quickly and enhance hyper-personalization. UX for AI also allows harnessing user-driven, dynamic testing through personalized recommendations and dialog interfaces, among other examples.
- Advanced Localization: By leveraging Machine Learning and Deep Learning training procedures, AI allows teams to offer advanced localization to users to guarantee efficient Product Development scalability for businesses.
- AI Tools for UX Design: With the fast-paced nature of AI, there are already several AI-powered tools to improve both UX and UI Design processes, which save time, ease creative procedures and increase productivity.
What To Consider in UX for AI
UX (and UI, for that matter) have a crucial role in the success of any digital product and this affirmation includes AI-based products as well.
Just like we mentioned the benefits of considering AI for UX, let’s check out how UX for AI works through each lifecycle stage!
- Research and Discovery: As User Experience is vital to know what's needed to meet and please user needs, UX is key in understanding if an AI product can help users achieve their goals and ease the steps it takes to complete tasks.
- Product Development: With a thorough understanding of user needs and goals, you can start developing the integrations of AI in your product, considering UX principles and best practices to guarantee the final product is both functional and intuitive.
- Testing and Iteration: After developing your product, it’s vital to know that final users will find it easy to use, so don’t hesitate to test it! With the gathered conclusions, you can make informed decisions to iterate until the product meets user needs.
How Has AI Been Affecting UX Design?
With Artificial Intelligence, a new array of UX features has become possible, including recommendations, contextualization and predictions.
Let’s list some innovations that AI User Experience brings to the table!
- Discovery: A great example of AI and UX is recommendation systems, widely used by renowned companies like Netflix or Spotify. Think of how your favorite platform lets you know an algorithm-based action, like suggesting a song or movie, works with the User Experience of letting you know that removing that suggestion was successful.
- Engagement: With the rise of data-driven development, companies are harnessing data and algorithms daily to rank and promote content. In this context, UX Design is vital to use this data wisely, avoiding overwhelming or confusing users.
- Decision-Making: It’s no surprise AI is quite helpful when it comes to decision-making, yet it’s key to consider that, even based on legal regulations, companies may not have access to all user information. So, teams should consider the scope of data they count on to ensure an end-to-end AI User Experience. UX comes into play by allowing user feedback to reflect the accuracy of the data.
Conclusion
Artificial Intelligence and UX Design inevitably interlink— as AI is here to stay, it‘s fundamental to know these edges intertwined to guarantee thriving products and services.
We hope this article has given you a clear overview of these issues! Feel free to check out the following article to get a deeper understanding of how AI can help improve UX.
