Voice Against Bias: Exploring Voice Assistants as a Method of Countering Implicit Bias

语音对抗偏见：探索语音助手作为对抗隐性偏见的方法

• 批准号: 21K18005
• 负责人: シーボーン ケイティー
• 金额: $ 3万
• 依托单位: Tokyo Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K18005/
• 关键词: HCI; voice assistant; implicit bias; ageism; older adults; voice ux; user experience; usability; intergenerational; Computer voice; Voice asssistants; Inclusive design; Implicit bias; Older adults

The ongoing COVID-19 pandemic created severe delays for this project. Even so, we developed three preliminary older adult text-to-speech (TTS) systems using the three recorded older adult voices using machine learning. We then created a preliminary voice assistant (VA) with a storytelling activity.All design studies were completed. An online survey was conducted with older adults to gather ideas for a story-based activity with the VA. We used the top ideas for the system design. Three systematic reviews on data collection were conducted; two were published. An online study was conducted to assess the qualities of the three TTS's in comparison to other TTS's. This led to one side project (kawaii vocalics) and confirmed the "agedness" of the TTS's. A face-to-face drawing study was conducted with younger and older adults. This also confirmed the "agedness" of the TTS's. Both studies raised the problem of the "mechanical" nature of the TTS's. A usability study of the storytelling system with the best TTS (old woman) was conducted; however, no results for ageism were found, and while the younger, professional TTS's were preferred, the older adult TTS's were deemed most suitable for storytelling. Finally, a face-to-face study on an alternative activity, mindfulness meditation, was conducted; however, the storytelling activity was preferred.One master's thesis, two bachelor's theses, and two student exchange projects were completed. Three short papers were published at the top international peer-reviewed conferences in the field of human-computer interaction (ACM CHI and DIS).

持续的COVID-19大流行导致该项目严重延误。即便如此，我们还是利用机器学习技术，利用这三种录制的老年人声音，开发了三个初步的老年人文本到语音（TTS）系统。然后，我们创建了一个具有讲故事活动的初步语音助手（VA）。所有设计研究均已完成。我们对老年人进行了一项在线调查，为退伍军人事务部的一个以故事为基础的活动收集想法。我们将最受欢迎的想法用于系统设计。对数据收集进行了三次系统评价；两篇发表。进行了一项在线研究，以评估三个TTS的质量与其他TTS的比较。这导致了一个副项目（卡哇伊声乐），并证实了TTS的“衰老”。对年轻人和老年人进行了面对面的绘画研究。这也证实了TTS的“衰老”。这两项研究都提出了TTS的“机械”性质的问题。对最佳TTS （old woman）叙事系统进行可用性研究；然而，没有发现年龄歧视的结果，虽然年轻的专业TTS更受欢迎，但年长的成年TTS被认为最适合讲故事。最后，对另一种活动——正念冥想——进行了面对面的研究；然而，讲故事的活动更受欢迎。完成硕士论文1篇，学士论文2篇，学生交换项目2项。在人机交互领域的国际顶级同行评议会议（ACM CHI和DIS）上发表了三篇短文。

项目成果

Voice Against Bias @ OSF

反对偏见的声音@OSF

Can Voice Assistants Sound Cute? Towards a Model of Kawaii Vocalics

• DOI: 10.1145/3544549.3585656
• 发表时间: 2023-04
• 期刊: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Katie Seaborn;Somang Nam;Julia Keckeis;Tatsuya Itagaki

Right for the Job or Opposites Attract? Exploring Cross-Generational User Experiences with “Younger” and “Older” Voice Assistants

适合工作还是相反吸引？探索“年轻”和“年长”语音助手的跨代用户体验

• 发表时间: 2023
• 期刊: 2023 DIS Conference on Designing Interactive Systems
• 作者: Yuto Sawa;Julia Keckeis;Katie Seaborn
• 通讯作者: Katie Seaborn

Dis/immersion in mindfulness meditation with a wandering voice assistant

通过徘徊的语音助手让您沉浸在正念冥想中

• DOI: 10.1145/3544549.3585627
• 发表时间: 2023
• 期刊: 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Bonhee Ku;Tatsuya Itagaki;Katie Seaborn
• 通讯作者: Katie Seaborn

Localizing the Ambivalent Ageism Scale for Japan

日本矛盾的年龄歧视量表本地化

• 发表时间: 2022
• 作者: Sawa;Y.;& Seaborn;K.
• 通讯作者: K.