umu.sePublications
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
Which mood describes your book?: Enhancing book-reviews with a mood-based rating tool.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2020 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Reviews are a way for a user to share their opinion and for others to find helpful information when deciding on which product to choose. When leaving a review, most websites use a star rating system and then a short text. But when it comes to books, is a star rating and text review enough? An area in need of further research is other parameters that could be helpful for customers when reading and leaving reviews. This study aimed to explore the possibility to review books by mood.

Five people who met the criteria, they should read or listen to books monthly, Preferably women within the age span 25-60, participated in a qualitative user test. During the test, they reviewed a book with the help of a mood rating system and then completed a questionnaire that included questions about their perceived experience. The mood rating system was created by following the Human-centred design process provided by IDEO. The concept is based on a literature review of earlier studies in the area of emotions/moods and interviews with users. The result from this test was that the mood options, derived in this study, were good but not perfect. When identifying mood options, illustrations of full-body characters were most helpful but they are time-consuming to create and smileys together with words are a good substitute. Although there is a need for more research in this area, this study showed that rating books by mood gave value to the users.

Place, publisher, year, edition, pages
2020. , p. 49
Keywords [en]
Interaction Technologies, UX, Emotion, Mood
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:umu:diva-167859OAI: oai:DiVA.org:umu-167859DiVA, id: diva2:1391687
External cooperation
Storytel
Subject / course
Examensarbete i Interaktionsteknik och design
Educational program
Master of Science Programme in Interaction Technology and Design - Engineering
Supervisors
Examiners
Available from: 2020-02-05 Created: 2020-02-05 Last updated: 2020-02-05Bibliographically approved

Open Access in DiVA

fulltext(5607 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 5607 kBChecksum SHA-512
33e4208dac1e4dbd2f0e10d7aacda1c7baaaf0a9e215434e2a07bd31817bf34fbb498ce2cda07d759c2acdaabb7ad98e7b30ee0a1e7824050aeb3cf7fcab468d
Type fulltextMimetype application/pdf

By organisation
Department of Applied Physics and Electronics
Interaction Technologies

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 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: 16 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