Nonverbal cues in avatar-mediated virtual environments
Abstract/Contents
- Abstract
- This research focuses on the individual and joint contributions of two nonverbal channels (i.e., face and body) in avatar mediated-virtual environments. A total of 140 dyads (280 participants) were randomly assigned to communicate with each other via avatar-mediated platforms that varied in their capacity to deliver nonverbal cues (i.e., avatars that displayed both face and body cues, only face cues, only body cues, or avatars that were static). Dyads that were able to see their partner's facial movements being mapped on to their avatars reported higher levels of interpersonal attraction and were able to form more accurate impressions about their partners. Furthermore, dyads that had access to their partner's facial movements described their interaction experiences more positively, although this was only true when they could also see their partner's bodily gestures. Dyads that could only see their partner's bodily movements, but not their facial movements, described their experiences more negatively compared to those who interacted with a static avatar that did not portray any nonverbal cues. Behaviorally, dyads that were able to see their partner's bodily movements moved their bodies more, although this trend was only significant when they were also able to see their partner's facial movements. In contrast, the extent to which dyads exhibited facial movement was not influenced by the visibility of their partner's facial movements or bodily gestures. The current study also found that dyads showed higher levels of bodily and facial nonverbal synchrony when their partner's bodily movements and facial movements were available, respectively. Finally, the present study employed two machining learning algorithms to explore whether nonverbal cues that were automatically tracked during dyadic interactions would be able to predict interpersonal attraction through an inductive process. Results showed that (1) these classifiers could predict high and low interpersonal attraction individuals at an accuracy rate that was approximately 14-17% higher than the majority class baseline and that (2) the main features that predicted interpersonal attraction were related to synchrony of smiling behavior.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2019; ©2019 |
| Publication date | 2019; 2019 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Oh, Catherine Suyoun |
|---|---|
| Degree supervisor | Bailenson, Jeremy |
| Thesis advisor | Bailenson, Jeremy |
| Thesis advisor | Hancock, Jeff |
| Thesis advisor | Reeves, Byron, 1949- |
| Thesis advisor | Zaki, Jamil, 1980- |
| Degree committee member | Hancock, Jeff |
| Degree committee member | Reeves, Byron, 1949- |
| Degree committee member | Zaki, Jamil, 1980- |
| Associated with | Stanford University, Department of Communication. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Catherine Suyoun Oh. |
|---|---|
| Note | Submitted to the Department of Communication. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Catherine Suyoun Oh
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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