Artificial intelligence (AI) is now used in all business areas and industries to automate processes, increase efficiency, and reduce costs – including in the digital transformation industry, which explicitly employs AI to enhance user experience.

Artificial intelligence, often referred to as machine learning (ML), and UX designers perform somewhat similar tasks. Both collect data, analyse user interactions, and predict human behaviour. Chatbots, self-driving cars, delivery drones, Google Translate, Alexa, and Siri are examples of artificial intelligence utilizing historical data to provide better services. Advances in artificial intelligence and machine learning have enabled the development of improved user experiences. Let’s have a look at how artificial intelligence impacts the user experience of products.

Visual Effects

Many applications that use AI technology for facial recognition stem from the idea of an AI developer, including Autodraw, Artisto, and Prisma. Users can also apply visual effects to photos of human faces, such as blurring and shadows.

Automation

Many repetitive, monotonous tasks may not be particularly important, but still require human intervention to be successfully completed. Tasks such as resizing photos, making colour adjustments, and cropping images can be automated through artificial intelligence. AI developers have created intelligent technological solutions that handle all these tasks without human intervention, such as Adobe’s stitching functions, which recognize patterns in photos and assist designers in assembling them.

Smarter and More Efficient Modular Design Methods

A design system is a collection of patterns, modules, and components that together form a product’s or brand’s design language. Salesforce, GE, Airbnb, Google, and many other companies have developed design systems that UX designers can use to provide their customers or users with a consistent and well-thought-out user experience. By integrating artificial intelligence or machine learning into these systems, product teams can collect and analyse metrics that help them better understand how each user interacts with the user interface components. The better a design system understands what works and what doesn’t, the better it can optimize its modules to achieve better UX outcomes.

Artificial intelligence is frequently used to reduce the need for human attention. AI, often referred to as machine learning, can now also support UX processes, from data analysis to design. UX designers can leverage artificial intelligence to enhance user experience while simultaneously optimizing the design process.

• Artificial intelligence can analyse vast amounts of data to identify trends and deliver actionable insights for UX research. For instance, AI can generate surveys to collect data from people and then perform qualitative analysis on the results. (Users who need to conduct qualitative data analysis can employ AI to obtain appropriate responses.)
• AI can create wireframes from a flowchart with minimal data input. If AI understands the context and flow, it can easily generate comprehensive wireframes for an entire application. The UX designer only needs to adjust or modify the wireframes to align them with product requirements.
• AI can generate numerous variations of a UX design solution to prepare for A/B or multivariate testing, and then evaluate which option works best.

The future of artificial intelligence is promising. Unlocking the full potential of AI could open up a world of possibilities for companies that use it to enhance product user experiences and UX design processes. AI could help UX designers achieve their goal of personalizing the user experience for each customer or user, instead of producing generic products for an entire consumer group.

A potential future goal is the development of screenless devices, offering consumers secure, dematerialized objects.