| 研究課題/領域番号 |
21K18005
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分90010:デザイン学関連
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| 研究機関 | 東京工業大学 |
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研究代表者 |
シーボーン ケイティー 東京工業大学, 工学院, 准教授 (70831262)
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| 研究期間 (年度) |
2021-04-01 – 2024-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2023年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2022年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
2021年度: 1,950千円 (直接経費: 1,500千円、間接経費: 450千円)
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| キーワード | HCI / voice assistant / implicit bias / ageism / older adults / voice ux / user experience / usability / intergenerational / Computer voice / Voice asssistants / Inclusive design / Implicit bias / Older adults |
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| 研究開始時の研究の概要 |
"Older adult" voice assistants will be explored as a novel method of reducing the cognitive bias of implicit ageism. To this end, three longitudinal experimental studies will be conducted on: (1) voice assistants that use "aged" voices with older adults; (2) voice assistants that use the older adult participant's own voice; and (3) voice assistants with "aged" voices used by younger age groups. Outcomes will include empirical evidence of attitude change and debiasing, a psychosocial model of impact, and design knowledge on "aged" machine voices for intergenerational populations.
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| 研究実績の概要 |
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).
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
4: 遅れている
理由
We are still severely delayed due to COVID-19 in FY21, which continued into FY22. For the most part, we had to rely on virtual participation. However, after COVID-19 restrictions were eased at the university, we were able to recruit older and younger adults for face-to-face studies. Even so, we are delayed. Additionally, the results of the design studies made it clear that the current TTS's are too machinelike. Unfortunately, the original voice actors could not participate again. We therefore recruited new voice actors. We completed recording in early May and are processing the voice recordings for machine learning, which will take about two months. We are currently developing the system for in-home use; however, we may need to scale back on the activity to enable this field study.
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| 今後の研究の推進方策 |
We will adjust the plan to accommodate the delays due to COVID-19 and the need to improve the TTS's and system. Experiments 1 and 2 will be combined, i.e., we will recruit young and older people at the same time, and is planned to start in the summer.
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