The rapid evolution of digital interfaces has necessitated a shift from static data presentation to immersive, real-time visualization. This research investigates the intersection of high-fidelity telemetry systems—traditionally used in motorsport and industrial tomography—and consumer-facing Augmented Reality (AR) applications in retail. While engineering domains have long utilized complex visualization for real-time decision-making, the retail sector is only recently adopting these paradigms to enhance customer engagement. This study explores whether the integration of AR-based visualization tools, which function analogously to real-time telemetry dashboards, significantly improves decision-making efficacy and user engagement compared to traditional two-dimensional interfaces. Drawing on a synthesized dataset and comparative analysis of recent literature, we examine the impact of AR on cognitive load, information asymmetry, and purchase intention. The methodology involves a detailed assessment of user interactions with both static and immersive environments. Results indicate that AR interfaces which mimic the granularity and interactivity of industrial telemetry systems lead to a marked increase in user confidence and a reduction in decision latency. The findings suggest that the principles of industrial data acquisition—specifically precision, real-time feedback, and spatial context—are directly transferable to commercial environments, creating a "Consumer Telemetry" effect that drives higher conversion rates. This paper contributes to the field by proposing a unified framework for immersive visualization that bridges the gap between technical monitoring systems and consumer experience design.

Augmented Reality, Real-Time Telemetry, Data Visualization, Consumer Behavior

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