Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring design and product development data in high-tech companies using data visualization
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media, Human-Computer Interaction.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In high-tech companies, user experience has become an important part of data-driven product development, but unfortunately the artifacts created by user experience work are often stored in disparate documents and databases, and it is difficult to get a big picture of all the artifacts that have been created and how they relate to each other and to other product development data. Data visualization is one way to approach solving these issues, but how can this data be presented to users in a meaningful way such that both the artifacts and the relationships between them are understood? Three hierarchical data visualizations - partition, sunburst, and zoomable treemap - were built around some early product development data. These visualizations were tested in a comparative exploratory usability test with six users to find how well users understood the data and the relationships between the data. The most significant results were that most users did not know how to interact with the partition and sunburst visualizations until prompted to do so, users had a difference in understanding the data between the sunburst and partition visualization, and some techniques worked very well to keep users oriented while others did not. Future work should first focus on adding a creative element to the tool, where data can be added and relationships can be built in the visualization itself, and then focus on testing the tool again with a more specific audience of strategic planners, UX designers, and requirements engineers. 

Place, publisher, year, edition, pages
2013. , 41 p.
Keyword [en]
data visualization, product development, user experience, usability
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-206685OAI: oai:DiVA.org:uu-206685DiVA: diva2:644993
External cooperation
Intel
Subject / course
Human-Computer Interaction
Educational program
Master Programme in Human-Computer Interaction
Presentation
2013-06-18, Uppsala, 17:15 (English)
Supervisors
Examiners
Available from: 2013-09-03 Created: 2013-09-02 Last updated: 2013-09-03Bibliographically approved

Open Access in DiVA

Thesis_ValjeanClark_final(2392 kB)293 downloads
File information
File name FULLTEXT01.pdfFile size 2392 kBChecksum SHA-512
6c8ef543e4edbe41616e835be146a6ce0a838be3e19c3359d9f14f78bb4709bcd8d0f19c27fc8b15dce5a86789608d7b085e3df33fa9282e595618be18784e23
Type fulltextMimetype application/pdf

By organisation
Human-Computer Interaction
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 293 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 663 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf