Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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
ANIMALS IN ANIMATION: DEEPENED ANALYSIS ON ANTHROPOMORPHIZATION AND THE UNCANNY VALLEY: A continuation and improvement upon previous study of realistic 3D animal anthropomorphization triggering the uncanny valley effect
University of Skövde, School of Informatics.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

This study investigates the relationship between the uncanny valley effect and perceived facial expressions in anthropomorphized virtual animals. This thesis builds upon previous research by the author in the hopes of addressing previously identified limitations and reinforcing the data of the earlier study. The aim is to examine whether the uncanny valley effect can be triggered by a mismatch between realistic and stylized facial animations applied to a realistic or stylized 3D animal, and if this effect varies depending on the expression portrayed. A research questionnaire was used to assess whether participants experience uncanniness when there is a discrepancy between the level of realism and stylization in the animation of virtual animals. The findings of the study indicated that the hypothesis is true even with the additional improvements and greater scrutiny concluding that the study will contribute to the understanding of the uncanny valley effect in relation to anthropomorphized virtual animals.

Place, publisher, year, edition, pages
2023. , p. 32
Keywords [en]
Uncanny Valley, Animation, Anthropomorphisation, Virtual Animals, Facial Expressions, Animal Facial Expressions.
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:his:diva-23121OAI: oai:DiVA.org:his-23121DiVA, id: diva2:1790607
Subject / course
Informationsteknologi
Educational program
Serious Games - Master's Programme
Supervisors
Examiners
Available from: 2023-08-23 Created: 2023-08-23 Last updated: 2023-08-23Bibliographically approved

Open Access in DiVA

fulltext(1201 kB)269 downloads
File information
File name FULLTEXT01.pdfFile size 1201 kBChecksum SHA-512
dcf93aab4485a64de14b0a23442f0b75c79c3ece301a8985d31727034935404d6c576cc6583fdfa5c6f9fdf520e841b1802f0654555b5b3a8037d5ec09046b4d
Type fulltextMimetype application/pdf

By organisation
School of Informatics
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 272 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: 466 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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