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Conveying Affect: Vocal vs Nonverbal Cues

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  • This study was interested in determining whether vocal communications or facial expressions and body language are more effective in communicating positive, neutral or negative affects when used in isolation and without deception. A sample of six male and six female (n = 12) students in Dr. Bernieri’s Winter term 2016 PSY 460 class were taken and randomly assigned to an audio (vocal) or visual (facial and body language) condition. A video of 189 communications was split into either only the audio or only the video, and played back to the audio and visual condition respectively. Participants were asked to judge what affect was being communicated for all 189 communications, and afterwards were given three personality tests measuring social skills and interpersonal sensitivity. It was found that the participants in the audio condition were able to decode messages more accurately than the visual condition, and that there was no significant difference in decoding accuracy between men and women across both conditions.
  • This report was written in Winter Term 2016 for PSY 460, Advanced Social Research Methods, instructed by Dr. Frank Bernieri. This report was nominated by Dr. Frank Bernieri for the 2016 OSU Culture of Writing Award in Psychology.
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  • description.provenance : Made available in DSpace on 2016-06-21T13:38:33Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) Zheng - OSUCWA 2016.pdf: 712463 bytes, checksum: 2be3add249d3a798e28d54c18f103211 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-06-21T13:38:33Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) Zheng - OSUCWA 2016.pdf: 712463 bytes, checksum: 2be3add249d3a798e28d54c18f103211 (MD5)
  • description.provenance : Submitted by Joshua Zheng (zhengjo@oregonstate.edu) on 2016-06-21T04:43:24Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) Zheng - OSUCWA 2016.pdf: 712463 bytes, checksum: 2be3add249d3a798e28d54c18f103211 (MD5)

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