umu.sePublications
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
Shopping for emotion - Evaluating the usefulness of emotion recognition data from a retail perspective
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This study researches the usefulness of emotion recognition technology and respective data within the retail space. Emotion recognition is a relatively novel technology that promises to pinpoint a subjects emotional state. While the use cases could be many for a retailer there is still little available research on how to implement these tools and how to interpret their data. This study aims to provide an answer to those questions by reviewing current studies in emotion recognition and by setting up a rudimentary field test to compare data gathered by the Microsoft Emotion Recognition service with standard user satisfaction measurements. The responses are examined to determine if a subjects’ identified emotion has any connection to their perceived satisfaction with an experience. No such connection is found within the gathered data however, but several other points of interest are discovered. The study concludes that current emotion recognition tools may not live up to their hype and offer little in terms of useful data. They tend to require exaggerated emotional expressions and perform subpar to humans in many cases. The reasons for this, and possible improvements to these tools are also discussed.

Place, publisher, year, edition, pages
2017. , p. 40
Series
UMNAD ; 1113
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-138270OAI: oai:DiVA.org:umu-138270DiVA, id: diva2:1133512
External cooperation
Valtech AB
Educational program
Master of Science Programme in Interaction Technology and Design - Engineering
Supervisors
Examiners
Available from: 2017-08-16 Created: 2017-08-16 Last updated: 2017-08-16Bibliographically approved

Open Access in DiVA

fulltext(6527 kB)350 downloads
File information
File name FULLTEXT01.pdfFile size 6527 kBChecksum SHA-512
65c26eadbee2ecba25081816d15c8c7a699de324eaeeb5d5a564332b0c75f7ce3fcb25f97df9a1305f17320b6df6280de3035933e68db900bc248fa3d179f027
Type fulltextMimetype application/pdf

By organisation
Department of Computing Science
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 350 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: 724 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