Image and face recognition, chatbots, and voice assistants: artificial intelligence has long become a vital part of mobile apps. Skepticism about its capacities and distrust are gradually vanishing. According to Statista, 62% of users are willing to work with AI to improve CX. Society is open to change, which stimulates the development of AI-based software, including mobile apps. Can AI perform the creative and analytical task of implementing mobile UX design?
UX design determines the goals of using AI
Designing user interfaces for AI-powered mobile apps is a complex process. As a rule, a UI/UX designer considers and understands the purpose of a software product and business requirements and knows how to balance the potential of AI and the interests of users. Even though there are smart algorithms facilitating work, such a specialist needs to think over a clear intuitive user interface.
With the right design, AI will make the interaction with an app convenient and personalized. At the same time, it will collect important user information that can help improve a marketing strategy, increase sales, and grow a business. The purpose of introducing AI in a mobile app determines UX design steps.
AI and user experience in a mobile app
Accenture mentions three main AI roles in mobile user experience:
- Curator. A smart algorithm suggests content for users. For example, it offers musical tracks (Spotify) or recommends a selection of films based on previously watched movies (Netflix).
- Advisor. Having learned from large amounts of data, AI makes instructions for users. This is how the smart algorithm implemented in the Plantix app functions. AI advises farmers on crop diseases, treatment, and care.
- Orchestrator. AI performs complex intellectual tasks on a large scale. Alexa is already demonstrating this capacity of AI in practice. The smart assistant arranges and manages home devices and equipment thus creating a personalized environment. It helps to find a lost smartphone, turn on the light and TV, and close the front door. It also performs other useful functions in a household.
AI is responsible for the user experience in a mobile app. It creates an intelligent interface that personalizes customer experience, making it more powerful and natural.
AI-driven UI design principles
To create a smart mobile interface, UI/UX designers, for example in Andersen, need to optimize the user experience first. They need to understand the data context for AI and see how it will affect the actions of mobile app users. Here are some basic principles for designing an intelligent UI:
AI capabilities are in accord with the purpose of a mobile app
A UI/UX specialist needs to make sure that there is no conflict between the purpose of an app and AI capacities. For example, users download the Spotify app to have constant access to music tracks. AI examines user tastes, finds out their preferences, and, based on this information, suggests relevant songs. This AI mechanism increases the value of the app, meets its key goal, and attracts more loyal customers.
AI should not complicate user interface design
Once developers train AI and implement it into a mobile app, UX designers need to let it learn user expectations. As consumers interact with a platform, AI will track their preferences to offer relevant content.
Even though an app has an embedded complex smart algorithm, it should not violate the main principles of UI/UX design which are simplicity and convenience. Thus, users will easily reach their goals with minimal data entry.
Response to incorrect content recommendations
But what if a client wants to try something new? For example, when registering on a digital music streaming platform, users indicate their preferences. But from time to time they would like to listen to something completely different.
In this case, it is necessary to create a UI design that will allow visitors to flexibly change settings. Accordingly, a smart algorithm must also respond to changes, otherwise, its advantages will turn into disadvantages.
AI-powered UX design should not violate user privacy
Recent surveys show that privacy is a major concern for consumers. Trusting personal information to a mobile or web app, users are afraid that it may be declassified. Therefore, when building a UI, designers and developers must provide strong privacy protection options. For example, a two-step authentication process can strengthen customer confidence in AI. In addition, a user interface should include features that allow visitors to control personal data.
Conclusion
AI in UX design can be a reliable “adviser” for designers and support the user interfaces of mobile apps. The technology can provide the missing UX personalization in a mobile solution. This is something that businessmen are striving to achieve and 80% of consumers want to have. In addition, 91% of Accenture survey participants confirmed that they are more willing to buy from a brand that knows customers well and offers relevant recommendations. Therefore, AI-powered UI/UX design is a great option for organizations looking to become leaders.
