Emotion Stroop task: Recognizing emotions from face and voice

Simple item page
dc.contributor.advisorSadakata, M.
dc.contributor.advisorSprinkhuizen-Kuyper, I.G.
dc.contributor.authorWeijkamp, J.
dc.date.issued2013-08-28
dc.description.abstractTo get insights into recognition of emotions from face and voice, we developed a special form of the Stroop task (the Emotion Stroop task). Instead of reading words and naming colors, the tasks are to recognize emotions either from faces (visual) or voices (auditory). Because musical expertise has been shown to positively correlate with recognition of emotion in speech prosody, we examined the difference in performance on the Emotion Stroop task between musicians and non-musicians. We found the Stroop effect on the Emotion Stroop task, as well as the Interference effect. Furthermore, people were faster and more correct on recognizing emotions from face than from voice. Results also showed that when participants had to ignore the face and judge emotion in the voice, musicians were more correct than non-musicians.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/139
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleEmotion Stroop task: Recognizing emotions from face and voiceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Weijkamp, J._BA_Th._2013.pdf
Size:
2.28 MB
Format:
Adobe Portable Document Format
Description:
Scriptietekst
Download
Collections
Faculteit der Sociale Wetenschappen