Last updated on November 17th, 2021 at 04:46 pm.
Description: Technology is advancing at an amazing pace. Just a decade ago, AI was a fairly novel concept to most common people. Nowadays, it helps us with self-driving cars, content personalization, and it even plays its part as a home assistant. However, AI can also aid with being creative and solving design challenges. We will tell you how that relates to UX/UI development.
In most industries, being as efficient as possible is key. It saves time, resources, and streamlines the process of coming up with a product. When it comes to creativity, it may seem that becoming super-efficient is not as simple as it sounds. After all, solving design problems depends on creative thinking, which requires a very specific type of concentration. It is a common conception that AI and machine learning processes are great at tasks that are on the rational side of things. When it comes to producing intriguing aesthetic solutions, that is a different ball game. Coming up with beautiful and engaging designs, such as found in Novoline, takes inspiration coupled with a delicate approach. Creative qualities are not commonly associated with machines, but rather with artists dedicated to their craft. Well, let us tell you that AI is a gift that keeps on giving, and it will surprise you with its many talents. Actually, it is very effective in helping with the strategic decisions of design development. A big part of the design process is the implementation, at which AI excels. Not only can AI churn out numerous variations of design ideas, but it can also help in making them functional. If you think that this sounds far-fetched, allow us to lay out the strengths of AI.
UI/UX Designs and AI Technology
Analyzing User Behavior
UI stands for the user interface. Naturally, a smart UI design should be pleasing to the eye and easy to operate. What people like can vary, and it takes market research to understand the specifics. AI can simplify the research process by utilizing past data, revising behavioral trends, and running user simulations. Algorithms can employ historical data for advancing current designs, and they can also help create flow diagrams from the information. That helps design teams to create functional solutions which will be able to translate in the real world.
UI/UX design is not entirely about being creatively minded. The mechanics of the development process also involve a lot of mundane and repetitive tasks. While a portion of such things is simple to do, the tasks still require time and focus. Actions such as cropping images, resizing them, and applying color correction can all be done instantly by AI. Some smart development solutions of this nature include the stitch option by the company Adobe. This function can seek out patterns in a given image, and then help to repurpose them for whatever is needed.
Design Process Optimization
Machine learning and AI are meant to reduce the need for attention in the development stage. When applied to UX design, the technology can achieve this by helping to generate design variations. Smart algorithms are capable of taking one idea and then coming up with numerous designs that are based on the initial notion. That is incredibly useful for the initial stages of brainstorming. Having a hundred options laid out in front of you makes choosing the ideal design a lot easier.
AI and personalization are a mighty combo. We use it daily on platforms such as YouTube and Spotify to get content tailored specifically to our liking. That can also apply to UI. For one thing, AI can help designers to collect very intricate data reports on how people use a given app, where they press most, and how much time they spend on a specific region. AI can also enhance the user experience by tailoring it to a user’s type of treatment. That is where personalized designs come into play. Programs like Einstein Design use the power of AI to allow tailored, customized design options for UI/UX in real-time. That opens up the opportunity for every person who visits the same website to get a custom UI experience that fits them best.
AI has the ability to create wireframes from pre-created flowcharts, even with minimal amounts of data available. After AI understands the context and flow of a design, creating the full wireframe for an app becomes a nearly instantaneous process. Once that is done, the UX designer only has to edit and customize the wireframes in order for them to meet the determined product requirements. That is an incredible boost of efficiency when it comes to the process of getting an initial design idea to its fruition.
A/B Functionality Tests
Most design solutions undergo a process of A/B testing. Rarely does a design hit the mark on the first attempt. AI can help to make this process faster. That is due to its ability to create multiple variants before the A/B tests begin. Once the tests start, AI can calculate which solution performed the best by calculating the outcomes. This saves a lot of time in the development process, and it is a more detail-oriented approach overall.
The Future of AI and UX/UI Design
Undoubtedly, the future of AI is very bright. We have to consider that the technology is still in its beginning stages, yet the possibilities are already incredible. AI can enhance the user experience and the design process of UX/UI applications to a tremendous degree. The ideal future goal would be to get AI to a point so that designers would not have to design generic products for an entire demographic, but that they could put all their focus on customizing and personalizing the experience for everyone who uses the product. Personalized navigation of apps and websites coupled with augmented reality, virtual reality, or holographic screen devices could result in a technological golden age. What seemed like sci-fi talk just a few decades ago is becoming increasingly more attainable. According to experts, in the next few years, we could see AI and VR become implemented in a wide variety of industries.
As you can see, AI is a limitless powerhouse. It can greatly help creators to streamline the process of UI/UX design in many ways. That includes precise multivariate testing, generating numerous designs for consideration, analyzing past design trends, and personalizing the product for the end-user. It surely is exciting to think about what capabilities AI will be able to reach in the next decade. What do you think of AI? Do you use it in any of your development processes? We would love to hear your opinions on the topic. Please leave your comment in the section down below!
Bio: Thomas Glare is a web designer with a whole wealth of experience running into decades. He has practiced both as an IT expert and currently works as a freelancer. He shares his knowledge through books, journals, and blogs.
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