Abstract
High cognitive load and retrieval inefficiency occur when target data points are extracted from unstructured web pages, linear media streams, or spatial viewports. Query context is frequently lost upon redirection, while spatial computing displays present environmental data without contextual prioritization. Intent data is captured via user interface elements or behavioral interaction signals, including scroll positioning and viewport dwell duration. Multidimensional intent objects are synthesized to generate gradient-based visual indicators on web content, scrub-bar overlays on linear media timelines, and spatial filters in immersive displays. Collaborative intent synchronization enables secure background processing of authenticated databases, where notifications regarding relevant content are provided without revealing user identities. The visual indicators guide attention directly to target information across digital viewports, reducing manual effort and sensory noise.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Khan, Gulmohar, "Intent-Based Content Filtering and Visual Augmentation Across Web, Linear Media, and Spatial Computing Environments", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12885