MetaPortal : business intelligence and machine learning approach for VR data
Kilinc, Murat ; Geris, Ali LU
; Teke, Orkun
and Cukurbasi, Baris
(2023)
2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023
In Innovations in Intelligent Systems and Applications Conference
- Abstract
Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study, an application called MetaPortal was developed, utilizing personal characteristics, activity, location, and interaction data of users in the immersive learning environment of Manisa Celal Bayar University (MetaCBU). By employing business intelligence techniques and machine learning algorithms, the application can analyze the vast amount of VR... (More)
Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study, an application called MetaPortal was developed, utilizing personal characteristics, activity, location, and interaction data of users in the immersive learning environment of Manisa Celal Bayar University (MetaCBU). By employing business intelligence techniques and machine learning algorithms, the application can analyze the vast amount of VR data and classify users in MetaCBU based on their characteristics, activities, and interactions. This paper proposes a combination of business intelligence and machine learning approaches for VR data analysis and provides detailed information about the MetaPortal application developed in this context.
(Less)
- author
- Kilinc, Murat
; Geris, Ali
LU
; Teke, Orkun
and Cukurbasi, Baris
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Business intelligence, Dashboard, Decision support system, Machine learning, Virtual reality, VR
- host publication
- 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) : 11-13 Oct. 2023 - 11-13 Oct. 2023
- series title
- Innovations in Intelligent Systems and Applications Conference
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023
- conference location
- Sivas, Turkey
- conference dates
- 2023-10-11 - 2023-10-13
- external identifiers
-
- scopus:85178304037
- ISSN
- 2770-7946
- ISBN
- 9798350306590
- DOI
- 10.1109/ASYU58738.2023.10296742
- language
- English
- LU publication?
- no
- id
- 89d79720-e9e3-4960-9bf9-5770b3d7448f
- date added to LUP
- 2025-06-05 21:18:59
- date last changed
- 2025-06-12 10:37:08
@inproceedings{89d79720-e9e3-4960-9bf9-5770b3d7448f,
abstract = {{<p>Virtual reality (VR) is a technology that offers near real-world experiences in various fields. With the widespread use of virtual environments designed to provide VR experiences, the amount of data collected from these environments has increased rapidly. However, as the volume of data grows, there is a need to develop analysis processes and advance the data-driven development model. In this study, an application called MetaPortal was developed, utilizing personal characteristics, activity, location, and interaction data of users in the immersive learning environment of Manisa Celal Bayar University (MetaCBU). By employing business intelligence techniques and machine learning algorithms, the application can analyze the vast amount of VR data and classify users in MetaCBU based on their characteristics, activities, and interactions. This paper proposes a combination of business intelligence and machine learning approaches for VR data analysis and provides detailed information about the MetaPortal application developed in this context.</p>}},
author = {{Kilinc, Murat and Geris, Ali and Teke, Orkun and Cukurbasi, Baris}},
booktitle = {{2023 Innovations in Intelligent Systems and Applications Conference (ASYU) : 11-13 Oct. 2023}},
isbn = {{9798350306590}},
issn = {{2770-7946}},
keywords = {{Business intelligence; Dashboard; Decision support system; Machine learning; Virtual reality; VR}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{Innovations in Intelligent Systems and Applications Conference}},
title = {{MetaPortal : business intelligence and machine learning approach for VR data}},
url = {{http://dx.doi.org/10.1109/ASYU58738.2023.10296742}},
doi = {{10.1109/ASYU58738.2023.10296742}},
year = {{2023}},
}