The Art Nouveau Path: Requirements Engineering and Traceability for City-Scale In-the-Wild Mobile Augmented Reality Games Learning Services

City-scale, in-the-wild Augmented Reality (AR) learning paths must remain operable under Bring Your Own Device (BYOD) heterogeneity, outdoor tracking degradation, public-space safety, and interruption recovery. This study conceptualizes the Art Nouveau Path as an AR learning service and makes a theoretical contribution by proposing a Determinant-driven Requirements traceability model that treats implementation Determinants as Requirements signals and links them to testable Requirements, transfer Artefacts, and evidence anchors for replication. Methods combined 8 Points of Interest (POIs) and 36 tasks profiling, group-session logs (118 sessions), and teacher-facing records from a validation workshop (T1-VAL, N=30) and in situ observation (T2-OBS, N=24). Teachers open-text fields were segmented into meaning units and coded with an eight-Determinant taxonomy, with intercoder reliability assessed on a stratified subset (Krippendorff’s alpha = 0.83). Logs and a post-path student questionnaire (S2-POST, N=439) bounded enactment feasibility and data integrity, without learning-outcome inference. Dominant determinants concerned onboarding and legibility, marker robustness and recovery, and curriculum framing, alongside safety and fallback constraints. These signals were translated into 18 “shall” Requirements with acceptance criteria and bidirectional trace links to transfer 6 Artefacts. The resulting transfer kit specifies routines, maintenance, incident handling, and fallback procedures to reduce replication fragility across teams.