Reimagining Computing

The Experience-Future-Output (XFO) framework proposes a transformative shift in Human-Computer Interaction (HCI), addressing the limitations of traditional graphical user interfaces (GUIs) through the application of Large Language Models (LLMs) and generative AI. Traditional interfaces often impose a high cognitive load, hindering task performance and failing to adapt to diverse user needs. In contrast, the XFO framework dynamically generates task-oriented, user-specific interfaces from natural language inputs, potentially enhancing usability and efficiency. Central to XFO is 'Command Generation' which integrates generative AI with natural language processing to tailor interfaces directly to user commands. This approach facilitates intuitive interaction, allowing users to engage directly with their desired tasks. The system not only responds to explicit commands but also anticipates user needs based on their interaction history and preferences, minimizing cognitive strain and streamlining digital interactions. Employing a speculative design methodology, this study uses operating systems as a test case to demonstrate the XFO framework's potential. Speculative design explores possible futures by creating provocative scenarios, ideal for critiquing and envisioning the impacts of this new technology. By comparing traditional GUI tasks in Ubuntu with those managed through dynamic, LLM-generated interfaces, the study highlights improvements in task efficiency, accessibility, and overall user experience. Additionally, it discusses the broader implications of deploying the XFO framework in HCI, critically examining how the framework can be adapted to meet the needs of a diverse user base. These discussions are crucial for ensuring that the framework employs inclusive design principles to cater to the specific needs and accessibility requirements of all user segments. The XFO framework aims to create a universally accessible and equitable digital environment. The research invites further investigation into how such innovative technologies might influence future digital interactions, emphasizing the need for critical examination of their development and implementation. Keywords: Human-Computer Interaction, Large Language Models, Generative AI, User Interface Design, Cognitive Load, Speculative Design, Accessibility, Personalization, Dynamic Interfaces, Command Generation, Task Efficiency, Inclusive Design, Anticipatory Interfaces, Digital Accessibility