Optimizing university path navigation : A statistical and decision sciences approach using augmented reality

Deepak, Satujoda Sai; Kanth, G. Shiva; Kumar, Pentakota Pavan; Sai, Ramineni Siva Naga; Reddy, Chetan Kumar; Sasank, V. V. S.; Vakkalanka, Sairam; Macherla, Sivudu

doi:10.47974/JSMS-1443

Open Access Research Article

Optimizing university path navigation : A statistical and decision sciences approach using augmented reality

Satujoda Sai Deepak2100090155csit@gmail.comDepartment of Computer Science and Information Technology Koneru Lakshmaiah Education Foundation VaddeswaramGuntur, Andhra Pradesh, 522302, IndiaView full profile → , ^*G. Shiva KanthCorresponding authorshvkanth0@gmail.comDepartment of Computer Science and Engineering Koneru Lakshmaiah Education FoundationDepartment of CSE Koneru Lakshmaiah Education Foundation(KLEF)-KL UniversityVaddeswaram, Andhra Pradesh, 500075, IndiaView full profile → , Pentakota Pavan Kumar2100090167csit@gmail.comDepartment of Computer Science and Information Technology Koneru Lakshmaiah Education Foundation VaddeswaramGuntur, Andhra Pradesh, 522302, IndiaView full profile → , Ramineni Siva Naga Sai2100090091csit@gmail.comDepartment of Computer Science and Information Technology Koneru Lakshmaiah Education Foundation VaddeswaramGuntur, Andhra Pradesh, 522302, IndiaView full profile → , Chetan Kumar Reddy2100090084csit@gmail.comDepartment of Computer Science and Information Technology Koneru Lakshmaiah Education Foundation VaddeswaramGuntur, Andhra Pradesh, 522302, IndiaView full profile → , V. V. S. Sasanksasank64@gmail.comDepartment of Computer Science & Engineering Koneru Lakshmaiah Education Foundation VaddeswaramGuntur Dist., Andhra Pradesh, 522502, IndiaView full profile → , Sairam VakkalankaSairam.Vakkalanka@gmail.comDepartment of Computer Science and Engineering Anil Neerukonda Institute of Technology and Sciences SangivalasaVisakhapatnam, Andhra Pradesh, 531162, IndiaView full profile → , Sivudu Macherlamsivudu@kluniversity.inDepartment of Computer Science and Engineering Koneru Lakshmaiah Education Foundation VaddeswaramDepartment of CSIT PACE Institute of Technology and SciencesOngole, Andhra Pradesh, 522502, IndiaView full profile →

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pp. 387–397Vol. 28Issue 2March 2025DOI: 10.47974/JSMS-1443XML

Received:: 08 Jan 2025
Published Online:: 01 Mar 2025
Article type:: Research Article
Language:: EN
Article no.:: JSMS-1443
Pages:: 387–397

Abstract

This study focuses on the interaction of AR for the navigation of paths in the university setting. Statistical analysis and decision sciences are used in assessing the performance of such a system. The innovative AR framework offers users real-time personalized route assistance, thereby improving user experience in navigating these complex environments in universities. The system uses GPS along with advanced camera technologies, providing real-time information to the user on smart devices, merging physical and digital into the same spatial context. 150 sample participants tested the application, with 92% having succeeded in reaching their destination. Key metrics analyzed include navigation accuracy, time efficiency, and user satisfaction. This study applies statistical methods to assess the performance of the system by highlighting its potential for making optimization decisions in educational environments, thereby transforming the potential of AR in enhancing the management of spatial environments and user interactions.

Keywords

University way AR GPS tracking Camera tracking Navigation

Subject Classifications

86A3068U35

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