Zhou J. Yu
Articles
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Jan 14, 2025 |
onlinelibrary.wiley.com | Qi Zhang |Zhou J. Yu |Yuchen Wang |Yitong Chen
Data Availability Statement The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
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Sep 26, 2024 |
arxiv.org | Zhou J. Yu
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Aug 19, 2024 |
dx.doi.org | Yu Wang |Ye Wang |Sheng Wang |Zhou J. Yu
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Aug 19, 2024 |
pubs.acs.org | Yu Wang |Ye Wang |Sheng Wang |Zhou J. Yu
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Jul 6, 2024 |
nature.com | Michelle Cohn |Santiago Barreda |Katharine Graf Estes |Zhou J. Yu |Georgia Zellou
This study compares how English-speaking adults and children from the United States adapt their speech when talking to a real person and a smart speaker (Amazon Alexa) in a psycholinguistic experiment. Overall, participants produced more effortful speech when talking to a device (longer duration and higher pitch). These differences also varied by age: children produced even higher pitch in device-directed speech, suggesting a stronger expectation to be misunderstood by the system. In support of this, we see that after a staged recognition error by the device, children increased pitch even more. Furthermore, both adults and children displayed the same degree of variation in their responses for whether “Alexa seems like a real person or not”, further indicating that children’s conceptualization of the system’s competence shaped their register adjustments, rather than an increased anthropomorphism response. This work speaks to models on the mechanisms underlying speech production, and human–computer interaction frameworks, providing support for routinized theories of spoken interaction with technology.
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