Hey Alexa … Examining Factors Influencing the Educational Use of AI-Enabled Voice Assistants During the COVID-19 Pandemic

Rohani Rohan, Debajyoti Pal, Suree Funilkul
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引用次数: 1

Abstract

The COVID-19 pandemic has resulted in a rapid growth of online learning. While majority of the current research focus on different learning management systems, massive open online courses, or even specific softwares like Zoom and Microsoft Teams, the use of artificial-intelligence (AI) based voice assistants (VAs) for the purpose of online education is very rare. In this work we propose, validate, and test a research model that explains the continuance usage of VAs by students for learning purpose during their home quarantine period. We consider novel pandemic-specific psychological factors like loneliness and self-quarantine, together with anthropomorphic factors like voice attractiveness of the VAs for proposing the research model. The factors of satisfaction and continuance usage are borrowed from Expectation Confirmation Theory. Partial Least Squares Structural Equation Modelling is used for testing the proposed model.
嘿,Alexa,在COVID-19大流行期间,研究影响人工智能语音助手教育使用的因素
2019冠状病毒病大流行导致在线学习快速增长。虽然目前大多数研究都集中在不同的学习管理系统,大规模开放在线课程,甚至是特定的软件,如Zoom和Microsoft Teams,但将基于人工智能(AI)的语音助手(VAs)用于在线教育的情况非常罕见。在这项工作中,我们提出,验证并测试了一个研究模型,该模型解释了学生在家庭隔离期间为学习目的而继续使用VAs。我们考虑了新的流行病特异性心理因素,如孤独和自我隔离,以及拟人化因素,如VAs的声音吸引力,以提出研究模型。满意和持续使用的因素借用了期望确认理论。采用偏最小二乘结构方程模型对模型进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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