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Data Visualization Of Product Relations

Goksör, Nils LU and Kemvik, Anton LU (2019) MAMM01 20191
Ergonomics and Aerosol Technology
Abstract
Thanks to the rapid development in areas such as artificial intelligence companies now have the possibility to collect and analyze data to improve their
business.
These algorithms quickly result in large volumes of data, which are to be
processed and understood by humans. The stakeholder for this project, IKEA,
cannot keep track of all data relations in their sales patterns by using regular
tables or graphs.
Data visualization has always been a great tool to understand and communicate data. The purpose of data visualization is to convert slow reasoning
tasks into into fast perception tasks.
The hypothesis of this project is that the third dimension available in Virtual Reality (VR) can simplify this for big data. We have created a... (More)
Thanks to the rapid development in areas such as artificial intelligence companies now have the possibility to collect and analyze data to improve their
business.
These algorithms quickly result in large volumes of data, which are to be
processed and understood by humans. The stakeholder for this project, IKEA,
cannot keep track of all data relations in their sales patterns by using regular
tables or graphs.
Data visualization has always been a great tool to understand and communicate data. The purpose of data visualization is to convert slow reasoning
tasks into into fast perception tasks.
The hypothesis of this project is that the third dimension available in Virtual Reality (VR) can simplify this for big data. We have created a VR application to visualize product relations within the product range at IKEA. The
application combines known research in data visualization, such as visual encodings and gestalt principles, with the advantages of 3D visualization and
VR.
Our conclusion is that the VR application provides a great overview of big
data, and that tasks such as finding data relations in a big data set are greatly
simplified. The testing sessions with the end users at IKEA confirms this.
Furthermore, they believe that the application is a great tool for discovering
patterns and relations within the data that was not possible before, and that it
can be used to present research findings in an intuitive way. (Less)
Popular Abstract
Advancements in fields such as machine learning have made it increasingly popular to store data from customer purchases and apply algorithms on it to extract useful information. Understanding the relations within products in a product range can be useful for many things, however, the amount of data is often too big and complex to visualize in an intuitive way. This thesis analyses whether Virtual Reality can make relations within the data more comprehensive and provide a good overview of big data.
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author
Goksör, Nils LU and Kemvik, Anton LU
supervisor
organization
course
MAMM01 20191
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Virtual Reality, 3D, Data visualization, Data relations, Big data
language
English
id
8985184
date added to LUP
2019-06-19 09:33:38
date last changed
2019-06-19 09:33:38
@misc{8985184,
  abstract     = {{Thanks to the rapid development in areas such as artificial intelligence companies now have the possibility to collect and analyze data to improve their
business.
These algorithms quickly result in large volumes of data, which are to be
processed and understood by humans. The stakeholder for this project, IKEA,
cannot keep track of all data relations in their sales patterns by using regular
tables or graphs.
Data visualization has always been a great tool to understand and communicate data. The purpose of data visualization is to convert slow reasoning
tasks into into fast perception tasks.
The hypothesis of this project is that the third dimension available in Virtual Reality (VR) can simplify this for big data. We have created a VR application to visualize product relations within the product range at IKEA. The
application combines known research in data visualization, such as visual encodings and gestalt principles, with the advantages of 3D visualization and
VR.
Our conclusion is that the VR application provides a great overview of big
data, and that tasks such as finding data relations in a big data set are greatly
simplified. The testing sessions with the end users at IKEA confirms this.
Furthermore, they believe that the application is a great tool for discovering
patterns and relations within the data that was not possible before, and that it
can be used to present research findings in an intuitive way.}},
  author       = {{Goksör, Nils and Kemvik, Anton}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Data Visualization Of Product Relations}},
  year         = {{2019}},
}