Blog: Self-healing AI based User Experience
The advances in Artificial Intelligence has enabled “unprecedented automation of tasks long thought undo-able by machine” (Norman, 2017), unlocking new levels of productivity and innovation. While machines are doing mundane, repetitive or time-consuming tasks that can free up valuable human time for more complex or meaningful endeavors, smart assistants enhance human capabilities, making us able to make sense of large amounts of data and make better decisions.
Some tedious product design tasks can be automated quite easily. On the other hand, deep learning methods are introducing new possibilities of human-machine interaction, as well as open new opportunities for creating autonomous, self-learning products. Just like you spellcheck, keyboard autocomplete or Tesla Autopilot, new products using machine learning algorithms can learn on their own. Most contemporary products do it and this is an additional challenge for UX designers.
Auto-learning means the product can start working correctly after it’s fed enough amount of user’s data and will provide a quality experience in the long-term. Auto-learning, in the long run, reduce the development time and since the program is evolving autonomously, it has to reduce the number of manual updates by developers. This trend will also lead to strengthening the personalization of digital products. After being launched or sold, they will evolve and develop themselves based on user data.This self evolving user experience of products can take personalization to the next level which was unimaginable with today’s technology. This kind of personalization will create lot of challenges also to the designers. The major difference here will be the design process. while humans make use of a set of rules to improve the usability of a product, AI is dependent on a complex analysis of data.
User Experience AI tools
Until now, to improve user engagement in their products, UX teams have turned to tools and metrics such as usability tests, A/B tests, heat maps and usage data. However, these methods are soon to be eclipsed by AI which will make use of data for decision making. Using AI, an e commerce store can track user behavior across various platforms to provide the owner with tips on how they can improve their purchasing experience, eventually leading to more sales. AI can be used to tailor the design to each user’s specifications, based on the analysis of the collected data.By analyzing the vast amount of data collected, AI systems can create a deeper connection with humans, enhancing their relationship.
By using the function over and over, consumers end up establishing an interdependent relationship with the system. That’s exactly how AI is designed to work. You use the system; it collects data; it uses it to learn; it becomes more useful; gives better user experience; you use it more as it collects data, learns and becomes more useful; and the cycle continues. You don’t even see it coming — and before you know it, you’re deeply connected.
A common concern about the adoption of AI to everyday life is whether the machines might eventually rise and take over the world. As AI develops, users will gain more control over the system, gradually improving trust which will lead to more usage.This trust between robots and humans will pave the way for new collaborations in the future.So the fear of robots taking over the world will be replaced by human robot collaborations which will make human life better.