The Role Of AI In UX Design: Computers Will Be Designers’ Apprentices
The aim of user experience (UX) designs is to create a smooth yet immersive digital experience for the user. Having an efficient and intuitive user interface (UI) filled with vibrant colors and features drives interactions that are more likely to positively impact conversions.
When your product interface starts generating more traffic, you need to develop a streamlined solution to continue to convert visitors.
Artificial Intelligence (AI) can be that solution if you have the foresight and determination to maintain a high standard of quality in your UX design. Without a human element to coach the AI through its phases of learning, its interactions will ultimately stray towards being cold and unappealing to the user.
Let’s take a deep dive into this topic to see how design teams can improve their product’s overall UX via collaborating with developers on constructing AI that makes them more productive.
Artificial Intelligence (AI)
AI may be slated to handle more than 85% of consumer correspondence by 2020, but for the moment, that seems to be the extent of their functionality. AI is learning to mimic what humans do, thus they are not yet able to become fully autonomous. AI’s are still not perceptive enough to handle complicated tasks where human input is necessary to properly function.
But don’t be mistaken; AI can still make the human element matter more if designers are prepared to collaborate with the technology to achieve the goal of optimizing the efficiencies inherent in their UX design.
Instead, AI is predominantly focused on optimizing “blue-collar” tasks in the same way that junior designers assist a senior designer with repetitive & mechanical work. The type of work that AI is currently learning to do is related to image resizing, color adjustments can be done by robots, which increase the designers’ productivity a lot.
Human/AI Collaboration in UX Design
The introduction of AI solutions to UX issues has a way of enriching the field of UX design. When AI automates repetitive tasks for designers, the ability of a designer to optimize their creativity is boosted exponentially. Designers are then free to focus on management, creative thinking, communication and other more advanced capabilities.
But simply engineering AI into processes and products without input from a design team will only exacerbate fears that AI is not appropriate for your organization. Your organization must approach AI as an opportunity for your design team to collaborate with data scientists to innovate and create exciting, meaningful experiences that will benefit your users and the future of UX.
Using clear-cut UX designs coupled with well-defined use-cases and UX-driven insights can train AI systems more effectively than an algorithm. In the end, a brilliant, data-driven algorithm is important, but not without the influence of a clear-cut, human-centric UX design.
When it comes to humanizing customer experience, AI is an indispensable tool in a UX designer’s kit. When designers work with software developers to formulate flexible, yet robust AI predictions, they can design UX that is memorable and uniquely appealing to the masses.
AI can provide designers with meaningful insights about human reactions and priorities that can prove to be incredibly advantageous to the long-term feasibility of your product’s UX design.
For AI to work, designers need to clearly communicate use cases to developers pertaining to user expectations to allow them to fine-tune AI algorithms to prevent negative responses.