Re-Evaluating Trust and Privacy Concerns When Purchasing a Mobile App: Re-calibrating for the Increasing Role of Artificial Intelligence

Q1 Social Sciences

Digital Investigation Pub Date : 2023-10-13 DOI:10.3390/digital3040018

Alex Zarifis, Shixuan Fu

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引用次数: 0

Abstract

Mobile apps utilize the features of a mobile device to offer an ever-growing range of functionalities. This vast choice of functionalities is usually available for a small fee or for free. These apps access the user’s personal data, utilizing both the sensors on the device and big data from several sources. Nowadays, Artificial Intelligence (AI) is enhancing the ability to utilize more data and gain deeper insight. This increase in the access and utilization of personal information offers benefits but also challenges to trust. Using questionnaire data from Germany, this research explores the role of trust from the consumer’s perspective when purchasing mobile apps with enhanced AI. Models of trust from e-commerce are adapted to this specific context. A model is proposed and explored with quantitative methods. Structural Equation Modeling enables the relatively complex model to be tested and supported. Propensity to trust, institution-based trust, perceived sensitivity of personal information, and trust in the mobile app are found to impact the intention to use the mobile app with enhanced AI.

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在购买移动应用程序时重新评估信任和隐私问题:重新校准人工智能日益重要的作用

移动应用程序利用移动设备的特性来提供不断增长的功能范围。这种大量的功能选择通常只需支付少量费用或免费即可获得。这些应用程序利用设备上的传感器和来自多个来源的大数据访问用户的个人数据。如今，人工智能(AI)正在增强利用更多数据和获得更深入洞察力的能力。个人信息访问和利用的增加带来了好处，但也对信任构成了挑战。本研究使用来自德国的问卷调查数据，从消费者的角度探讨了信任在购买具有增强人工智能的移动应用程序时所起的作用。电子商务中的信任模式适合于这种特定的背景。提出了一个模型，并用定量方法进行了探讨。结构方程建模使相对复杂的模型能够得到检验和支持。研究发现，信任倾向、基于机构的信任、个人信息感知敏感性和对移动应用程序的信任会影响使用增强AI的移动应用程序的意愿。

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

Digital Investigation 工程技术-计算机：跨学科应用

CiteScore

5.90

自引率

0.00%

发文量

审稿时长

7.2 weeks

期刊介绍： Digital Investigation is now continued as Forensic Science International: Digital Investigation, advancing digital transformations in forensic science. FSI Digital Investigation covers a broad array of subjects related to crime and security throughout the computerized world. The primary pillar of this publication is digital evidence and multimedia, with the core qualities of provenance, integrity and authenticity. This publication promotes advances in investigating cybercrimes, cyberattacks and traditional crimes involving digital evidence, using scientific practices in digital investigations, and reducing the use of technology for criminal purposes. This widely referenced publication promotes innovations and advances in utilizing digital evidence and multimedia for legal purposes, including criminal justice, incident response, cybercrime analysis, cyber-risk management, civil and regulatory matters, and privacy protection. Relevant research areas include forensic science, computer science, data science, artificial intelligence, and smart technology.