AI: First New UI Paradigm in 60 Years: Building an Antilibrary for Knowledge Exploration
Hatched by Kazuki Nakayashiki
Aug 30, 2023
5 min read
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AI: First New UI Paradigm in 60 Years: Building an Antilibrary for Knowledge Exploration
Introduction:
In the ever-evolving world of technology, user interface (UI) paradigms have played a crucial role in shaping the way we interact with computers. From batch processing to command-based interactions, UI has come a long way. However, with the rise of artificial intelligence (AI), we are witnessing the emergence of a new UI paradigm that is set to revolutionize the way we communicate with machines. At the same time, there is a parallel concept of building an antilibrary, where the value of unread books is recognized. In this article, we will explore how these seemingly unrelated topics share common points and why they are significant in their respective domains.
The Evolution of UI Paradigms:
The first UI paradigm, batch processing, emerged around 1945. Users would specify a complete workflow for the computer without any back-and-forth interaction. This paradigm lacked user-computer engagement. Then, in 1964, command-based interaction took over with the advent of time-sharing. Users and computers would take turns, executing commands and modifying future ones based on the current state. This paradigm allowed users to reassess and progress towards desired goals. However, the graphical user interface (GUI) stole the show after the launch of the Macintosh in 1984, dominating the UX world for four decades. But now, AI is introducing the third UI paradigm, where users express their desired outcomes rather than providing step-by-step instructions.
The Emergence of AI in UI:
AI systems like ChatGPT are spearheading this new UI paradigm. Users no longer need to instruct computers on how to perform tasks. Instead, they communicate their desired outcomes. This shift in control reverses the locus of control, making AI the first new interaction model in over 60 years. Prompt engineers play a crucial role in guiding AI systems to produce desired results. Just as Google democratized information search, AI's usability must be improved to make it accessible to a wider audience. The current chat-based interaction style has limitations, requiring users to articulate their problems in prose text. Recent literacy research suggests that a significant portion of the population may struggle to effectively utilize AI bots due to this requirement.
The Hybrid UI Paradigm:
While AI ushers in the third UI paradigm, the second UI paradigm, represented by command-based interactions, will not fade away completely. Clicking or tapping on a screen remains an intuitive and essential aspect of user interaction. Thus, future AI systems are likely to adopt a hybrid UI approach, incorporating elements of both intent-based and command-based interfaces. This hybrid UI will retain GUI elements while embracing the new paradigm of expressing intent rather than specific instructions. This evolution allows for a more seamless and efficient user experience.
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