Unexamined Interaction Design Space for Egocentric Systems
Investigate the tasks that naturally arise in everyday settings and characterize how interaction patterns change over time for context-aware egocentric perception systems from a human–computer interaction perspective.
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These advances have expanded what egocentric systems can perceive and recognize, but the interaction design space—what tasks naturally arise in everyday settings and how interaction patterns change over time—remains largely unexamined from an HCI perspective. Our longitudinal deployment study provides empirical grounding for these open questions.
Since network size affects performance, denser or larger graphs would introduce more occlusion and clutter; Spherical, with its spacious arrangement, may better accommodate them, though this remains unverified. Real-world analysis also often involves multiple egocentric networks or temporal dynamics. Future work should test how our findings extend to larger, denser, and dynamic settings.
As users become more accustomed to conformal navigation guides, we hypothesize that these elements will require less explicit visual attention and can be monitored peripherally. The attention freed in this way would then be available for environmental monitoring, raising environmental SA. This is particularly crucial for real-world applications like search-and-rescue scenarios, where rigorous training with the AR interface can foster the necessary expertise for effective environmental awareness and successful HRC. Future work should investigate this hypothesis through longitudinal studies examining how gaze patterns and SA evolve with increased AR interface experience.