GENDER STEREOTYPES AND VOICE AI: AN APPLICATION TO PERCEPTIONS OF DIGITAL VOICE ASSISTANTS
Abstract/Contents
- Abstract
This thesis seeks to provide clarity around how gender impacts human perceptions of
VAs. The thesis consists of two parts: a scholarly literature review and an in-lab empirical study.
In the literature review, I review relevant work to show the importance of anthropomorphism in
HCI research and the specific importance of gender as a determinant for how humans interact
with and perceive digital technologies. In the second part, I present the results of an in-lab
empirical study that I conducted to understand whether interacting with gendered VAs has an
effect on attitudes towards VAs, focusing on warmth and competence, perceptions of
anthropomorphism, and mood.
Description
| Type of resource | text |
|---|---|
| Date created | June 2020 |
Creators/Contributors
| Author | Prstic, Tamara |
|---|
Subjects
| Subject | gender stereotypes |
|---|---|
| Subject | voice AI |
| Subject | anthropomorphism |
| Genre | Thesis |
Bibliographic information
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- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
Prstic, Tamara. (2020). GENDER STEREOTYPES AND VOICE AI:
AN APPLICATION TO PERCEPTIONS OF DIGITAL VOICE ASSISTANTS. Stanford Digital Repository. Available at: https://purl.stanford.edu/tc570hs7276
Collection
Master's Theses, Symbolic Systems Program, Stanford University
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- Contact
- amlevia@stanford.edu
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