Alexa! Examine privacy perception and acceptance of voice-based artificial intelligence among digital natives

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Mehak Mittal, Sanjay Manocha
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Abstract

Abstract Technological advancements, globalization, and digitalization have initiated various innovations across the globe transforming consumer needs and their ways to interact with brands and technology. Voice-based Artificial Intelligence, for the past few years, has been widely accepted and used by consumers worldwide for routine and special purposes. Nowadays, its presence can be felt across the majority of sectors like Healthcare, Education & Training, Entertainment, Automobile, and Retail. With its exciting unique features and convenience, there is no denial of voice being the future. Consumers have the power to decide the fate and success of an innovation. Thus, it is essential for organizations, innovators, and marketers who wish to increase technology adoption rates and reduce the barriers to acceptance of voice-based artificial intelligence among digital natives to evaluate the influence of numerous variables. This study aims to identify the motivators and inhibitors of the adoption of voice assistants among digital natives along with understanding their privacy perceptions about voice-based artificial intelligence. To examine the acceptance of voice-based artificial intelligence and its usage by youngsters, the researchers have proposed a comprehensive model to examine the relationship between various variables affecting consumer behaviourial intention. The study will be a significant addition to the previous literature as very limited studies have tried to understand the acceptance of voice assistants taking digital natives as consumers.
Alexa !检查数字原生代对基于语音的人工智能的隐私感知和接受程度
技术进步、全球化和数字化在全球范围内引发了各种创新,改变了消费者的需求以及他们与品牌和技术互动的方式。在过去的几年中,基于语音的人工智能已经被全球消费者广泛接受并用于日常和特殊目的。如今,在医疗保健、教育和培训、娱乐、汽车和零售等大多数行业都可以感受到它的存在。凭借其令人兴奋的独特功能和便利性,无可否认语音是未来。消费者有能力决定一项创新的命运和成功。因此,对于那些希望提高技术采用率并减少数字原生代接受基于语音的人工智能的障碍的组织、创新者和营销人员来说,评估众多变量的影响至关重要。本研究旨在确定数字原生代采用语音助手的激励因素和抑制因素,同时了解他们对基于语音的人工智能的隐私看法。为了检验年轻人对基于语音的人工智能的接受程度及其使用情况,研究人员提出了一个综合模型,以检验影响消费者行为意图的各种变量之间的关系。这项研究将是对之前文献的重要补充,因为非常有限的研究试图理解将数字原生代作为消费者的语音助手的接受程度。
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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来源期刊
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES INFORMATION SCIENCE & LIBRARY SCIENCE-
自引率
21.40%
发文量
88
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