Big Data Visualization in Extended Reality
(2023) MAMM15 20231Department of Design Sciences
- Abstract
- Effectively utilizing Big Data can be a challenge for many companies. Due to its volume, many aspects of the data processing pipeline such as storage, retrieval and usage may quickly become problematic. For example, it could be difficult identifying the relevant metrics when analyzing a service failure. Visualizing and
deriving insights from the data could also prove to be quite onerous. Immersive analytics is one field that aims to solve some of the issues around Big Data by using technologies such as virtual reality, augmented reality and mixed reality.
For our thesis project, we have worked with Axis Communications, a Swedish multinational company within the video surveillance industry to design an immersive analytics application... (More) - Effectively utilizing Big Data can be a challenge for many companies. Due to its volume, many aspects of the data processing pipeline such as storage, retrieval and usage may quickly become problematic. For example, it could be difficult identifying the relevant metrics when analyzing a service failure. Visualizing and
deriving insights from the data could also prove to be quite onerous. Immersive analytics is one field that aims to solve some of the issues around Big Data by using technologies such as virtual reality, augmented reality and mixed reality.
For our thesis project, we have worked with Axis Communications, a Swedish multinational company within the video surveillance industry to design an immersive analytics application for their R&D Tools department. To define our scope, we employed a co-design approach together with an iterative Double Diamond design process. As a result of academic and user research, concept development and iterative lo-fi prototyping, we decided to implement a hi-fi prototype of an application that would help engineers physically navigate their data. In an extrema identification task, our prototype allowed users to navigate the data more quickly, but in terms of accuracy, users performed roughly the same across both tools. Given that this was a relatively simple task, more research would be needed to investigate the performance of immersive analytics applications in complex data analysis operations. (Less) - Popular Abstract
- In this project, we decided to design and prototype an immersive analytics application that could be feasibly used in a software tools department.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9130204
- author
- Litchmore, Trevina LU and Taher Ahmad, Mahnaz Wahidi LU
- supervisor
- organization
- course
- MAMM15 20231
- year
- 2023
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Immersive Analytics, Big Data, Virtual Reality, Co-design, Participatory Design, Data Visualization
- language
- English
- id
- 9130204
- date added to LUP
- 2024-03-28 08:45:52
- date last changed
- 2024-03-28 08:45:52
@misc{9130204, abstract = {{Effectively utilizing Big Data can be a challenge for many companies. Due to its volume, many aspects of the data processing pipeline such as storage, retrieval and usage may quickly become problematic. For example, it could be difficult identifying the relevant metrics when analyzing a service failure. Visualizing and deriving insights from the data could also prove to be quite onerous. Immersive analytics is one field that aims to solve some of the issues around Big Data by using technologies such as virtual reality, augmented reality and mixed reality. For our thesis project, we have worked with Axis Communications, a Swedish multinational company within the video surveillance industry to design an immersive analytics application for their R&D Tools department. To define our scope, we employed a co-design approach together with an iterative Double Diamond design process. As a result of academic and user research, concept development and iterative lo-fi prototyping, we decided to implement a hi-fi prototype of an application that would help engineers physically navigate their data. In an extrema identification task, our prototype allowed users to navigate the data more quickly, but in terms of accuracy, users performed roughly the same across both tools. Given that this was a relatively simple task, more research would be needed to investigate the performance of immersive analytics applications in complex data analysis operations.}}, author = {{Litchmore, Trevina and Taher Ahmad, Mahnaz Wahidi}}, language = {{eng}}, note = {{Student Paper}}, title = {{Big Data Visualization in Extended Reality}}, year = {{2023}}, }