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User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants./
作者:
Watkins, Heather.
面頁冊數:
1 online resource (49 pages)
附註:
Source: Masters Abstracts International, Volume: 83-07.
Contained By:
Masters Abstracts International83-07.
標題:
Psychology. -
電子資源:
click for full text (PQDT)
ISBN:
9798762184618
User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants.
Watkins, Heather.
User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants.
- 1 online resource (49 pages)
Source: Masters Abstracts International, Volume: 83-07.
Thesis (M.S.)--Clemson University, 2021.
Includes bibliographical references
Technologies such as voiced automation can aid older adults aging in place by assisting with basic home and health tasks in daily routines. However, currently available voice assistants have a common design - they are vastly represented as young and female. Prior work has shown that humans apply stereotypes to human-computer interactions similarly to human-human interactions. When these stereotypes are activated, users may lose trust or confidence in the device or stop using it all together. The purpose of this study was to investigate if users can detect age and gender cues of voiced automation and to understand the extent to which gender, age, and reliability elicit stereotypic responses which were assessed using history-based trust. A series of health-related voice automation scenarios presented users with voice assistants varying in gender, age, and reliability. Results showed differences in age and gender perceptions across participant age groups but no differences for overall trust. A three-way interaction showed that when voiced automation reliability was low, participants rated the young female voice assistant as significantly more trustworthy than all other voice assistants. This work contributes to our understanding of how anthropomorphic characteristics like age and gender in emerging technologies can elicit varied trust responses from younger and older adults.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798762184618Subjects--Topical Terms:
555998
Psychology.
Subjects--Index Terms:
Voice assistantsIndex Terms--Genre/Form:
554714
Electronic books.
User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants.
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Source: Masters Abstracts International, Volume: 83-07.
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Includes bibliographical references
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Technologies such as voiced automation can aid older adults aging in place by assisting with basic home and health tasks in daily routines. However, currently available voice assistants have a common design - they are vastly represented as young and female. Prior work has shown that humans apply stereotypes to human-computer interactions similarly to human-human interactions. When these stereotypes are activated, users may lose trust or confidence in the device or stop using it all together. The purpose of this study was to investigate if users can detect age and gender cues of voiced automation and to understand the extent to which gender, age, and reliability elicit stereotypic responses which were assessed using history-based trust. A series of health-related voice automation scenarios presented users with voice assistants varying in gender, age, and reliability. Results showed differences in age and gender perceptions across participant age groups but no differences for overall trust. A three-way interaction showed that when voiced automation reliability was low, participants rated the young female voice assistant as significantly more trustworthy than all other voice assistants. This work contributes to our understanding of how anthropomorphic characteristics like age and gender in emerging technologies can elicit varied trust responses from younger and older adults.
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