The third user-interface paradigm in computer history is about to be introduced by ChatGPT and AI systems. It’s going to be a considerable advancement in UI/UX design over the last 60 years.
Going back to the past, batch processing was the first user interface paradigm. It allowed people to give the computer instructions on finishing a task. There was no back-and-forth between the person and the machine during this overnight operation. The user interface (UI) was a single point of contact with poor usability; it took several days to get the batch just right.
In 1964, the second user interface paradigm—command-based interaction—emerged. In this paradigm, the user and computer executed command one at a time. This paradigm ruled the UI space for decades, because of:
- Command lines
- Full-screen text-based terminals
- Graphical user interfaces (GUI) ruling the user experience (UX) space
The graphical user interface will probably be replaced by artificial intelligence now. It is going to be the new paradigm that will take its place. Let’s find out how the AI-integrated third paradigm will revolutionize UI/UX design.
Third Paradigm of UI/UX Design For Improved Customer Satisfaction
This paradigm assumes that the computer is completely obedient and follows instructions to the letter. The drawback is that users of low-usability systems frequently give commands that do something other than what they intended.
With the new AI systems, the user no longer instructs the computer on what to do; instead, the user does not identify the actions that must be taken to achieve the desired result.
The “Do what I mean, not what I say” user interface paradigm is appealing because people frequently give computers incorrect instructions. But giving the computer total power over the point of control is not without its drawbacks, particularly given the state of AI today, which frequently produces inaccurate findings.
Fundamental usability issues with the current generation of generative AI technologies, like ChatGPT and Bard, prompted the creation of a new position known as “prompt engineer.” These engineers are supposed to precisely tickle ChatGPT so that it generates the desired outcomes.
This new position brings to mind the introduction of Google, which made it possible for anybody to look through vast databases containing court cases or medical studies. AI’s increased usability ought to be a key differentiator.
It is aimed to replace the present chat-based interaction style in that it requires users to write out their concerns in prose text, which is probably out of reach for half of the people in advanced countries.
Nevertheless, the AI user interface represents a new and very promising paradigm of human-computer interaction. When using command-based interaction, the user gives the computer commands one at a time, which causes the intended outcome to be progressively produced.
The Power of AI and CRO in UI/UX Design
AI and conversion rate optimization (CRO) are effective techniques for boosting app conversion rates and UI/UX design on websites. Artificial Intelligence (AI) offers data-driven insights into user behaviour, spotting trends and patterns that conventional approaches could overlook.
By customising content, product recommendations, or calls to action based on demographics and historical behaviour, it can customise user experiences. CRO teams may conduct experiments more effectively by using AI to automate and optimise A/B testing.
Additionally, it can forecast which visitors are most likely to convert, which enables them to focus their efforts and send offers and information that are pertinent to the correct users. Chatbots and virtual assistants with AI capabilities can assist with consumer inquiries, offer assistance, and direct users through the conversion funnel—all of which can enhance user experience and possibly boost conversion rates.
Strengths and Weakness of AI in UI/UX Design
When it comes to the personalisation of preferences, AI has now replaced human intelligence. It can analyse data at a scale that humans cannot, evaluate browsing histories, buying patterns, and other consumer data in real-time, and provide highly accurate and customised recommendations. Higher customer satisfaction and conversion rates may result from this.
Simultaneously, AI can learn from its recommendations and make them better over time—a capability that traditional UI/UX methods find difficult to match. But there are drawbacks as well, such as protecting user privacy, the possibility of unsuitable or inaccurate recommendations, and the absence of a human touch and emotional intelligence.
Lastly, artificial intelligence (AI) can be a very useful tool for making product recommendations, but to deliver a customised, user-friendly, and trustworthy buying experience, e-commerce store owners and marketers must balance this use with a solid UI/UX strategy.
Last Word
In short, the third UI paradigm—intent-based outcome specification—represents a distinct paradigm for human-computer interaction than the one represented by the existing generative AI user interface. This paradigm does not offer a turn-taking or progressive development experience; rather, it radically reverses the locus of control.
