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Big Data Visualization in Extended Reality

Litchmore, Trevina LU and Taher Ahmad, Mahnaz Wahidi LU (2023) MAMM15 20231
Department 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:
author
Litchmore, Trevina LU and Taher Ahmad, Mahnaz Wahidi LU
supervisor
organization
course
MAMM15 20231
year
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}},
}