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Deciphering conversationparticipants' uncertainty: A study using non-verbal cues
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The eld of human emotion expression has become increasingly important for engineers due to the potential of developing computors and robots that can interact naturally with humans. This study investigates uncertainty is manifested in facial expressions. We formulated the binary denition "A conversation participant is uncertain when they feel they do not understand what the counterpart is trying to communicate or that they do not know what to say". With regards to this denition, a corpus consisting of videos where people were playing a spot the dierence-game and participants could only communicate verbally was marked with uncertainty labels. Facial features were extracted using the computor vision software OpenFace. These features, along with the uncertainty markings were then used to train a neural network. The trained model was then used to predict whether a participant is uncertain or not at a given moment. To evaluate the model, it was tested on previously unseen data with an even distribution of certain and uncertain data points as well the actual data. For both of the cases, the best prediction model managed to perform only better than if the model would employ majority class prediction.

Place, publisher, year, edition, pages
2017. , 20 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-211564OAI: oai:DiVA.org:kth-211564DiVA: diva2:1130082
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Examiners
Available from: 2017-08-08 Created: 2017-08-08 Last updated: 2017-08-08Bibliographically approved

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CiteExportLink to record
Permanent link

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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