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Social Interaction with Real-time Facial Motion Capture
Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Context. Social interaction between player avatars is one of the fundamentals of online multiplayer games, where text- and voice chat is used as standard methods for communication. To express emotions, players have the option to use emotes, which are text-based commands to play animations of the player’s avatar.

Objectives. This study investigates if real-time facial capture could be preferred and more realistic, compared to typing emote commands to play facial animations when expressing emotions to other players.

Methods. By using two methods for social interaction between players, a user study with 24 participants was conducted in a private conference room. An experiment was created where each participant tested the two methods to perform facial expressions, one consisting of typing emote commands, the other by performing with the calibrated participant’s face in real-time, with a web camera. Each participant performed and ranked the realism of each facial expression, in a survey for each method. A final survey could then determine the method that each participant had greater performance with and the method that was preferred the most.

Results. The results showed that there was a difference of realism between facial expressions in both methods, where happiness was the most realistic. Disgust and sadness were however poorly rated when expressing these with the face. There was no difference of realism between the methods and which method participants preferred the most. There was however a difference in each participant’s performance with the two methods, where typing emote commands had higher performance.

Conclusions. The results show that there is no difference of realism and preference, in typing emote commands to play facial animations and performing facial expressions in real-time with the face. There was, however, a difference in performing each method, where performing facial expressions with the face was the lowest. This confirms that the real-time facial capture technology needs improvements, to fully recognize and track the facial features of the human face.

Place, publisher, year, edition, pages
2017. , 37 p.
Keyword [en]
Real-time Facial Capture, Social interaction, Emotes, Video Games
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:bth-14710OAI: oai:DiVA.org:bth-14710DiVA: diva2:1114918
Subject / course
UD1416 Bachelor's Thesis in Digital Game Development
Educational program
UDGTA Technical artist for games
Supervisors
Examiners
Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-06-27Bibliographically approved

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fulltext(22017 kB)67 downloads
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File name FULLTEXT02.pdfFile size 22017 kBChecksum SHA-512
c1720aac801301f8f88f82ad3b9833a54df1209370c64b78e0ecfc9bc41c4b917d9e7a78b92e78bc6c408f18a080744682d6a93bebf065af165b4a13cb1ed9d3
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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