Practical Applications

Rather than approach the MOS conceptualization from a new UI design perspective, let us consider this from a modular addition or App lens. Creating an alternative view where the user can explore the data through movement while retaining the traditional, if less complementary, views of current dashboards may alleviate some of the cognitive load from having to learn new data exploration methods. Switching between conventional dashboards and dynamic constructions of overlapping data and information structures through movement by the user is anticipated to enable abstraction and visual mapping through unique human/AI pairing as never before. Identifying current use cases in tandem with the conceptualization of what moving through data will look like is essential to creating value for the user.

A UI built on embodied complementarity could benefit innumerable areas, two prominent domains that could provide the greatest return on investment are sales and cyber security. These two domains are data-rich and utilize multiple data types, from data tables to telemetry to video. Their use of time and geolocation also makes them excellent choices for immersive data experiences that reveal opportunities, be it to close sales or secure the enterprise. We can easily envision space-time cubes representing objects and alterations to those objects in three- and four-dimensional space. Visualizations based on any of several factors with possible geometry created could reveal entirely new prioritization schemas; think of a geometric threat rating or a geometric prioritization of sales targets as examples. In either of these use cases, the ability to create an accurate and robust link between events and the environment could be game-changing. Especially if trajectories, time, and spatial data can be overlayed with metrics, measures, and contextual information of varying degrees of separation to be selected by the user. Today this is often done ad-hoc through different systems and left to the brain to formulate a mental model, but we can do better. Think of the ability to move through a cyber security device environment by cluster, correlated to other devices by density stack, geo-location, with currently applied patches, and related to the shifting threat environment. This view would be shifted with a single click to a trajectory-based view, accompanied by line and time charts and heat maps, all explorable by moving through the data and augmented by the standard 2-D charts. This would open the door to dedicated forms of Artificial Intelligence (AI) to augment the human analyst and decision-maker in ways currently not being performed. This would also create a degree of complementarity to the brain not seen before in analytics and UI development, possibly shifting the paradigm in organizational disciplines.

Conclusion

In conclusion, this is a conceptual/theoretical article on an evolving line of thinking intended to radically improve how the human brain interacts with data through devices. The intent is to alter the user's sensory experience by enabling movement through data as a form of complementarity to the way the brain learns, creates, and updates mental models. This line of thinking is predicated on deepening cognitive neuroscience understanding while leveraging technology and UX/UI design principles. This novel form of data interaction and display will open the door to focused forms of AI that will range from convolutional neural nets to large language models to answer general questions. This form of data interaction will also open the door to new forms of display, ranging from touch to full holograms to walk-throughs, using touch and voice interaction with the AI. Significant more thought and exploration of this concept has been carried out, but which is impossible to discuss in a brief paper. Still, this is a call to action to develop this concept into a working technology that will elevate existing business intelligence systems and significantly augment dedicated ones in sales, cyber marketing, operations, and more. The author sees the potential of this new form of data interaction as assisting senior decision-makers in domains that require high degrees of complex reasoning and abstract thought, such as strategy and mergers and acquisitions. Due to the nature of decision-making in the brain, these domains often resist data and AI to the detriment of the decision-makers. This inflection point will require leaders and technical experts willing to explore the art of the possible to advance the art of the possible.