AUGMENTED REALITY WAYFINDING FOR SMART CAMPUSES: A CONCEPTUAL INFORMATION SYSTEM ARCHITECTURE

Authors

  • Marian Vladut Toma Universitatea Stefan cel Mare

Abstract

This paper proposes an information system architecture for augmented reality (AR)-based wayfinding in smart campuses. It addresses a practical problem in university environments: users navigate between buildings, floors, rooms, services, and temporary event locations, while relevant institutional data remain distributed across separate systems and disconnected from spatial guidance. Using a conceptual design approach, the study integrates AR guidance with campus spatial data, routing services, accessibility constraints, dynamic institutional information, and anonymized operational indicators. The architecture comprises a mobile AR client, application and integration services, institutional data sources, a simplified data model, a constraint-aware route-computation procedure, a navigation workflow, data-governance rules, and an evaluation framework. It is derived from requirements identified in the literature on smart campuses, indoor positioning, AR interaction, and information systems design. The paper treats AR wayfinding as an institutional information system rather than a stand-alone mobile interface. Its operation depends on data quality, interoperability, privacy safeguards, maintenance procedures, and organizational responsibility. The proposed model can support indoor-outdoor navigation, accessible route selection, route maintenance, spatial planning, and service-quality analysis, provided that location data are minimized, anonymized, and used mainly in aggregated form. The paper does not report empirical user-testing results; systematic evaluation is reserved for future implementation.

Author Biography

Marian Vladut Toma, Universitatea Stefan cel Mare

PhD Student in Computers science
System Engineer - Facultatea de Litere si Stiinte ale Comunicarii/Centrul de cercetare MANSiD
Universitatea Stefan cel Mare Suceava 
vlad.toma@usm.ro
Corp A - sala A017
office:     int 289 

Published

2026-06-30

Issue

Section

Statistics, economic informatics and mathematics