Comparison of Voice Based Virtual Assistants fostering Indian Higher Education – A Technical Perspective

Silky Sharma, Gurinder Singh
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Abstract

To meet expectations of stakeholders in Education 4.0, the inclination towards acceptance, testing, and implementation of Voice Assistants has increased at a faster pace in western universities. This study has been done to understand the present level of performance and capability of voice assistants in answering the basic queries of users from Indian Higher education sector. Three voice assistants namely Amazon Alexa, Microsoft Cortana, and Google Assistant have been considered for a survey in which 100 students participated and tested the performance of these three voice assistants by asking basic questions related to admission and examination. A set of total 14 questions has been selected to be asked by user in both the categories. Category 1 related to Admissions contained 7 little complex questions while category 2 related to Examination had 7 direct and simpler questions. Responses of the users were noted down and after careful analysis, the explanations have been deduced about performance of these voice assistants in factors considered: understanding of voice and language of user, understanding of basic meaning of the question, request to repeat the question, whether the answer was given by voice assistants and quality of the answer received. As per the results, various observations have been noted that may further help Artificial Intelligence developers and programmers to understand the success and failure of voice assistants and accordingly bring improvements in their performance level. This study also helps in knowing about huge applications, contributions and benefits these voice assistants offer to the stakeholders. Once the improvements are incorporated by the developers, marketing professionals can boost the absorption and use of voice assistants in massive higher education sector of India by convincing the important stakeholders that also paves a way to tap into more undiscovered possibilities about use of Artificial Intelligence in higher education system at global level.
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基于语音的虚拟助手促进印度高等教育的比较——技术视角
为了满足教育4.0中利益相关者的期望,西方大学对语音助手的接受、测试和实施的倾向以更快的速度增长。这项研究是为了了解语音助手在回答印度高等教育部门用户的基本问题时的表现和能力。亚马逊Alexa、微软Cortana和谷歌Assistant这三款语音助手进行了一项调查,100名学生参与其中,通过询问与入学和考试相关的基本问题来测试这三款语音助手的表现。在这两个类别中,用户选择了一组总共14个问题。第1类有7道比较复杂的题目,第2类有7道比较简单直接的题目。记录用户的回答,经过仔细分析,从对用户语音和语言的理解、对问题基本含义的理解、要求重复问题、是否由语音助手给出答案、收到的答案质量等因素,推断出这些语音助手的表现。根据研究结果,各种观察结果可能会进一步帮助人工智能开发人员和程序员了解语音助手的成功和失败,并相应地提高其性能水平。这项研究还有助于了解这些语音助手为利益相关者提供的巨大应用、贡献和利益。一旦开发人员将这些改进纳入其中,营销专业人员就可以通过说服重要的利益相关者来促进印度大规模高等教育部门对语音助手的吸收和使用,这也为在全球范围内利用人工智能在高等教育系统中使用更多未被发现的可能性铺平了道路。
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