Comparing Command Construction in Native and Non-Native Speaker IPA Interaction through Conversation Analysis
Comparing Command Construction in Native and Non-Native Speaker IPA Interaction through Conversation Analysis
复制标题
通过对话分析比较母语和非母语 IPA 交互中的命令结构
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Benjamin R. Cowan
中科院分区：
文献类型：
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作者：
Yunhan Wu;Martin Porcheron;Philip R. Doyle;Justin Edwards;D. Rough;Orla Cooney;Anna Bleakley;L. Clark;Benjamin R. Cowan
智能个人助理（IPAs）支持的语言有限，这意味着许多人只能使用非母语进行交互。然而，我们对人们如何以这种方式与IPAs相互作用知之甚少。通过会话分析（CA）的角度，我们研究了母语（L1）和非母语（L2）英语使用者与b谷歌Assistant的交互，比较了这两个用户组如何生成IPA命令。我们的研究表明，在构建命令时，第一语言和第二语言的说话者相似地使用停顿、部分或完全重复以及超发音。然而，第二语言使用者往往在词汇获取、句法结构和发音方面遇到问题，导致使用代码混合、增加暂停长度和任务外排练来帮助生成命令。我们考虑了这些影响的原因，同时探索了设计IPA交互的方法，以确保它对命令生产中的L2挑战敏感。
Intelligent Personal Assistants (IPAs) are limited in the languages they support, meaning many people are left to interact using a non-native language. Yet, we know little about how people interact with IPAs in this way. Through a conversation analysis (CA) perspective, we examine native (L1) and non-native (L2) English speaker interactions with Google Assistant, comparing how both user groups produce IPA commands. Our work shows that L1 and L2 speakers similarly used pauses, partial or complete repetition, and hyper-articulation when constructing commands. However, L2 speakers tended to experience issues in lexical access, syntactic construction and pronunciation, resulting in the use of code-mixing, increased pause lengths and off-task rehearsal to help generate commands. We consider reasons for such effects, whilst exploring ways to design IPA interaction to ensure it is sensitive to L2 challenges in command production.
语音拟人化、对话者建模和对齐对人机对话句法选择的影响
影响因子：
5.4
作者：
Cowan B
通讯作者：
Cowan B