How to Enhance UX/UI with Artificial Intelligence and Machine Learning
Artificial Intelligence is widely used in various industries to automate routine tasks and increase the productivity and efficiency of business strategies. One more area where AI is becoming extremely useful is user experience and user interface (UX/UI) design. While AI can save designers time and perform routine tasks, such as image cropping, designers can focus on more complex tasks that require a high level of creativity. However, this is not the only advantage of Artificial Intelligence. ML models get “smarter” and can drive better UI/UX design. On that note, let’s dig deeper.
The Role of AI in UX/UI
Before we look at the importance of artificial intelligence in design, let’s briefly recap what UX/UI design is. User experience design (UX) is the creation of a product or service that meets users’ needs and expectations. How does the user interact with the product? How does the user feel after the interaction? These and other questions are key to UX design.
UX designers’ responsibilities are to analyze important product elements, create product schematics and prototypes, conduct user testing, and more. The primary goal of a UX designer is to make a product or service convenient, enjoyable, and accessible to the end user.
User interface design involves creating the interface’s appearance and functionality. UI designers strive to make the design clear, accessible, and inclusive, which helps the user navigate the interface. UI designers are also responsible for choosing the correct color palette, fonts, layout, and other elements. Overall, the work of a UX/UI designer requires creativity and flexibility in many tasks. So, there are certain tasks that AI can help designers with:
- Automate time-consuming manual work (image resizing);
- Perform localization of designs through AI-powered translation;
- Segment audiences and provide the right product with an interface;
- Give insight into what elements users interact with the most and which require the most attention;
- Provide system consistency between users and products by using wireframing and prototyping tools.
Thus, AI helps designers improve the user experience and reduces the need for human labor in various ways (data analysis, creation of design documentation). The interaction between AI and designers leads to increased productivity and efficiency, as well as increased customer satisfaction, which affects brand loyalty.
How does Artificial Intelligence enhance UI/UX design?
Now that you have an overview of the value of AI in design let’s shift the focus to specific examples. Here are some important use cases of how AI can improve UX/UI design.
Automation of routine tasks
Often a designer’s job involves routine tasks that can be time-consuming. Image cropping, resizing, and color correction of photos are some examples of how designers spend their time. Designers can’t automate simple tasks in Photoshop because the tasks require human curation and the ability to make quick decisions. What if artificial intelligence could do the job instead of designers?
Artificial Intelligence can relieve designers of time-consuming tasks, thereby increasing efficiency. There are many solutions offered by AI, such as Adobe Scene Stitch technology, which identifies patterns in an image, helping designers correct, edit, or reimagine a particular scene. In this way, optimizing repetitive, routine tasks with AI can free up designers’ time to think about other strategic product design decisions.
In the digital world, chatbots are a great way for UX/UI designers to improve the customer experience and attract new audiences. AI-based chatbots improve user experience using natural language processing. Machine-learning-based chatbots are programmed to self-learn as they become familiar with new dialogues and words. In fact, if a chatbot receives unfamiliar voice or text dialogues, the number and accuracy of their responses increase. AI helps make interactions with UX/UI chatbots more comfortable and human-like, improving the user experience.
Efficient data analysis
Machine learning does, thanks to advances in technology and most of the data collection. But that doesn’t mean a company will need fewer analytics specialists. More analysts can perform a more accurate and in-depth analysis of user interactions with the brand by using the conduct of UI/UX testing, such as A/B tests or usability tests, to increase user engagement with their products. With AI, designers can track many critical UX metrics, such as:
- Pages visited;
- Session time;
- Products viewed;
- Bounce rates;
- Exit pages.
Collecting a huge amount of data allows designers to create a user-centered design. User-centered design, UCD, is a design process that focuses on the needs (behaviors, values, expectations) of users at every stage of brand interaction. Artificial intelligence models collect data about the target audience and identify user requirements and goals from different channels. In addition, AI tools allow designers to experiment with new ideas and concepts.
Information Architecture (IA)
In the world of UX design, users use digital products that are well-structured and easy to use. This is not unintentional but the result of a good Information Architecture. Information Architecture helps organize and structure information or content, including text, photos, and videos, in a digital product according to user requirements. For example, when designers create apps and websites, they plan the screen so that the user can easily find the information they want and navigate between screens.
Designers use information architecture to plan the navigation system to make users comfortable using the product. AI can help an AI model better interpret data, find patterns, and ultimately provide a user-centered approach to design. Without a good information structure, a machine learning model does not succeed because there will be no data to learn. Thus, combining AI and information architecture helps organizations focus on customer requirements by providing more structured content and an easy-to-understand interface.
Accessibility of the prototyping tools and wireframing
Communicating the value of an idea to those interested before designers create a product or design can be difficult. That’s why designers use rapid and advanced prototyping tools, which are used to evaluate a new product or design for further improvement. Designers only need a few sketches so that the artificial intelligence system can quickly transfer ideas from sketches to real life.
In this way, AI-powered prototyping tools help designers:
- Provide the intent of the ultimate design;
- Provide a user-centric design;
- Protect design solutions to customer feedback;
- Save time and money by making changes early on.
However, designers can use AI not only as a tool to turn raw drawings into highly accurate prototypes but also as a tool to explore wireframe ideas. User experience designers often use wireframes to provide clients with how a user interface will look and work in advance if it’s realized. By using artificial intelligence to create an interface, designers can set design direction, and machines learn possible design choices and then suggest the best solutions. Thus, prototyping tools’ and wireframing simplify the UX design process, reduce time, and allow designers to focus on the more important aspects of the project.
Can artificial intelligence take over the work of UX/UI design?
Artificial Intelligence helps UX/UI designers create and improve user-centric products, saving time and energy. While AI can learn from human experience, improve and produce better results, the ability to bring in creative alternatives, machines still can’t. Therefore, the lion’s share of product design work still falls on the shoulders of designers.
Understanding human needs and applying them to design is the key to success for UX/UI designers. Will AI replace designers? Share in the comments your personal thoughts about it.
Featured Image Credit: Picjumbocom; Pexels; Thank you!