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Using AI for Mobile App UX Design: Why Do It and How to Do It?

There is a lot of buzz about Artificial Intelligence (AI) and User Experience (UX) these days. While the first is a new technology adding value to the digital interactions of people, the second is more about making things easier for the users of digital applications and products. AI is now playing an active role in delivering better user experience to the users.

AI technology, in more than one way, is enhancing the user experience of applications. Thanks to AI, designers, and app developers in India and developers from across the world can offer audience-validated design and make it easier for the users to get things done with an app. To understand the real impact of AI on UX design, we are here. Let’s have a look at the precise ways AI is making a positive influence on the UI/UX design.

Delivering elaborate data-driven insights and analytical inputs 

Generally, UI/UX development teams carry out a variety of tests for validating their design decisions and the design output. Some of these tests include A/B tests, usability tests, data usage, and heat maps. These tests are carried out to ensure optimum user engagement with the app. AI at present is throwing tough competition to these testing methods. AI-based tools by collecting a large amount of user data can provide useful and relevant insights for data-driven design decisions.

For example, an e-commerce store simply by keeping track of user behavior data across multiple storefronts and platforms can deliver highly useful tips for improving the buyer experience. Such data-validated and practical tips can help the e-commerce store to improve the shopping experience at a faster pace.

Implementing AI in the UX 

Making use of AI for improved shopping experience is one thing, and implementing the AI right within the UX is another thing. Yes, at present, UI/UX designers are also utilizing the benefits of AI by applying AI right within the information architecture and design elements. This is creating another high possibility by cross-linking if data to deliver UX elements that can easily engage the users. Coupling information architecture with AI is the next big possibility for superior UX design.

Delivering more controls to the users 

Another great benefit of integrating AI with the user experience design comes through an increasing number of controls to the users. While the usual objection to the AI-based algorithms and controls is that they can snatch away human controls, AI can help users by delivering more controls. More importantly, AI will help users to access controls that they need in specific contexts.

Developing deeper human contact

Just because AI-based systems are capable of collecting and analyzing a huge amount of user data, a data-centric approach helps them to establish a deeper connection with the users in a more natural manner. The emergence of AI-based smart voice assistants is great examples of how such a deeper connection is being established through smart and intelligent interactions facilitated by AI-based systems. Whether it is Apple’s Siri or Amazon Alexa, all these smart assistants are helping the users to schedule meetings, book flights, play music, make web searches, and the multitude of actions throughout the day.

Key principles of integrating AI and Machine Learning (ML) with UX design 

Now that we have come to know about the principal benefits of AI and machine learning for UI/UX design let us understand some of the guiding principles of integrating AI and Machine Learning (ML) technology with UX design.

Working with a common and shared technology 

The most important aspect of integrating AI and ML with the user experience design process is using a common and shared programming language and technology understood by all the team members.

Keep the consistent focus on specific user context 

The biggest question that concerns the use of AI or ML technology in UX design is keeping a consistent and steady focus on the specific user context or use cases. With a consistent focus on specific use cases or user context, you can have a clear idea about the way AI and ML integration helps improve the user experience.

Take into consideration both quantitative and qualitative data 

To utilize machine learning technology for superior user experience design it is very important to consider both quantitative and qualitative data. While qualitative methods will help your ML algorithm deliver deeper insights about user behavior, the quantitative data insights will help you validate your design decisions with a large audience. By keeping both qualitative and quantitative data into consideration, an app can also deal with various unexpected factors in the development process.

Maintain optimum transparency about data collection 

To make AI-driven design decisions it is extremely important to maintain optimum transparency about data collection. When collecting data, it is important to keep the end-user cycle in mind. How collected data can be converted into information and design iteration can take place, should be considered with utmost seriousness. Apart from that, an AI-based system should also allow changing data collected by AI. This will help the app to meet user expectations with AI-powered predictions.

Conclusion

All these tips and principles explained above can help to maintain optimum transparency and charity about combining AI and UX design. To make things further easier while trying to integrate AI with UX design, app developers and designers should also choose the most relevant tools.

 

Author Bio:
Juned Ghanchi is the co-founder and CMO of IndianAppDevelopers, a site that helps tech startups and individuals to find app developers in India for mobile, blockchain, and IoT development. He develops marketing strategies that drive traffic, generate leads, and convert the lead into sales.

 

 

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