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Will AI Replace UX Designers?
Over the past few years, artificial intelligence (AI) has graduated from being on the fringe of economic enterprise to being the backbone of corporate plans in any conceivable market. From fitness and retail to oil and engineering, AI has most definitely burst into the mainstream.
The potential of AI is constrained only by intuition, but regardless of how it is used, it is used almost any time to simplify operations, increase performance and reduce costs. This left many citizens questioning if it might affect them, and it caused uncertainty about job security.
With no industry left untapped, not just managerial, process-based and redundant tasks are changed by artificial intelligence. If you are interested in entering the field of graphic, web or UX UI design, you can take our graphic design course online at Blue Sky Graphics.
UX Designers will not be substituted by robotics
The position of UX Designer will not become redundant in the hands of advanced technology. AI poses a tremendous opportunity, not a challenge. It may be proposed, though, that artificial intelligence will overtake today’s designers and transform the position as we know it. If that is the case, what would tomorrow’s designers appear like?
How the position of UX designers has changed and will change
Until the role of customer interface design first emerged in the early 1990s, designers had specialised and well specified positions such as Graphic Designer, Web Designer and Industrial Designer. Since then, the boundaries have become blurred and we now have multi-skilled designers with a wealth of expertise in product strategy, UX and UI architecture, with engagement, knowledge and end-user in mind.
In the not too far future, it is expected that UX Designers will become ‘Systems Designers’ or ‘Behaviour Designers’ and feed input, data and instructions to AI algorithms via a series of criteria, constraints and objectives to decide the behaviour of automated systems.
Is AI really going to alter the position of UX designers so much? Are we at danger of wasting raw manufacturing and automation skills and talent?
How Artificial Intelligence Helps UX Designers
A Pfeiffer study found that 62 per cent of design professionals agree that artificial intelligence and machine learning would be really relevant to their artistic roles. In addition, 76% of survey respondents believe that their artistic potential has improved over the last few years.
AI and customer interface design go hand in hand in several respects. For eg, artificial intelligence is reliant on continuous learning through exploiting data, the same can be said for UX design; it is a continuous process of testing and optimization based on user feedback.
When added to the UX architecture, AI will apply the optimization procedure. Technology is capable of gathering and processing vast volumes of data quite rapidly, much faster than humans. This knowledge can be used to run A/B experiments automatically, to understand the test findings and to change the product or design appropriately. It will then restart the procedure by checking other design components.
It may sound like artificial intelligence does all the work; nevertheless, it also needs feedback from the designer. In essence, AI systems and programmers will operate side by side. The designers will be the decision-makers and will feed facts, rules and conditions to the algorithms that will then perform the tasks.
With this illustration in mind, there are many ways that AI can improve the capabilities of designers, including:
Reduce physical labour by eliminating routine and mundane jobs, thereby growing efficiency.
Empower creators to make more educated product decisions based on a wide range of data points
Enhance data collection and optimization capability
Make design frameworks more stable And for their customers and end users:
Promote a more customised user interface
Increase conversion rates attributable to hyper-personalization and importance to specific users
So, in fact, what does this look like?
AI resources that help UX designers
You could even be utilising artificial intelligence for the design work without understanding it. For eg, whether you use Adobe apps, you are likely to use Adobe Sensei – a layer of knowledge that empowers features that use AI and machine learning to improve user experience.
Such Adobe AI-powered features include:
Deep learning to help you discover the most appropriate assets for your project more easily.
Machine learning to help you grasp how consumers act and predict what they need.
Uizard is another example of a platform that uses AI to speed up the design process. It instantly transforms hand-drawn wireframes to digital sketches, sketch files and front-end javascript, saving UX Designers bundles of time.
Uizards
Figma recently released more than 40 extensions, some of which utilise deep learning to simplify routine activities. For eg, Similayer enables you to choose several layers at a time that share the same properties or components. This allows artists to adjust text, colours and other design features more effectively.
However, the usage of AI to accelerate or automate the UX design does not always have the desired result. Take The Grid, for example; a web design firm that tried to use artificial intelligence and a bot named Molly to ‘help websites create themselves.’ After years of making and millions of dollars worth of spending, The Grid struggled to deliver on its pledge. Here’s the reason…
To enable The Grid or Molly to create a website, users were asked to choose a colour palette, font and interface design. Then they would incorporate any material and, with these very small design preferences, The Grid would create a website.
However, if consumers are disappointed with the result, there is little they can do to alter Molly’s artificial mind, because they are powerless to modify the design themselves. The prototypes were unimaginative and very close. By the end of the day, the loss of choice and power left consumers unaffected.
Judgment
In the light of the explanations of how artificial intelligence is used in architecture, it is obvious that it would help artists and not steal their work, counter to the inevitable scarecrow.
Business has and will continue to grow as a consequence of innovative and advanced technology, and we need to respond to the environment around us in order to stay successful.
This suggests that the shades are relative—we do not perceive them individually, we see them as a whole. A colour is red when it is “redder” than its neighbour, and white when it is lighter than its neighbour. Check out this helpful guide to learning colour theory for more tips on incorporating colour in your artwork.
Doing Digital Shading
As a novice, the period will arrive when you advance to a stage where you want to add complexity and scope to your artwork. If you are planning on mixing, hatching, or stippling, digital shading can be pretty soothing.
Check out our digital shading tutorial for beginners, where we are walking you through the basic steps of digital shading with the ribbon example. Why is there a ribbon, you ask? If you learn the ribbon, you will be set up to deal with more difficult textures and forms. Understanding the fundamentals of ribbon shading is going a long way in your practise.
Grayscale painting
Now, what if you are dealing with a grayscale or a minimal colour? In this digital painting tutorial, we are going to instruct you on how to easily make your own digital portraits in monochrome using techniques that are reasonably simple to understand. You start by starting with layers, building up tones, highlights and textures to establish complexity and detail for illustrating eyes, hair, face and skin.
