building layouts, which led to manual on-site
measurements to accurately recreate interior spaces.
Future iterations would benefit from closer
coordination with campus facilities to access updated
structural data.
Next steps include extending the tour to cover
more campus areas and deploying mobile-ready
versions via Unity’s Android and iOS build targets.
Building on the current Docker-based SSH
deployment, future releases will incorporate
optimizations like texture compression, resolution
scaling, and simplified shaders. Multi-user
functionality will be explored through Photon Unity
Networking (Camarinha-Matos et al., 2001), and
learning modules will follow a mission-based
structure aligned with academic divisions. Planned
user experience assessments include surveys and
guided walkthroughs with prospective students.
Additionally, the NPC system will evolve from
static administrative support into an intelligent
network of academic mentors distributed across the
campus. While current NPCs in Building B deliver
answers to frequently asked student questions
(Dawley et al., 2014), future agents will leverage large
language models such as BERT or GPT, fine-tuned on
academic content, to offer interactive guidance about
programs, courses, and research areas. This opens a
new research line in AI-assisted education, where
LLMs complement—rather than replace—human
instructors by offering scalable, high-quality academic
support in immersive virtual environments.
The main scientific contributions of this work are:
(1) the structured application of Scrum in an immer-
sive academic development context, (2) a robust, web-
deployable architecture for virtual campus tours, and
(3) the design of an AI-integrated framework for
educational NPCs using large language models.
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