The Effect of Security, Privacy, Familiarity, and Trust on Users’ Attitudes Toward the Use of the IoT-Based Healthcare: The Mediation Role of Risk Perception

Abstract

The Internet of Things (IoT) refers to the network of devices which contain electronics, sensors or software that enables them to connect at anytimeand anywhere through a cyber-physical system. Before the establishment of such a system, it should be considered to what extent the users are ready to adopt and use it in their daily routines. Therefore, this paper explores users' attitudestowardsusing IoT technologies to receive healthcare services. This is in contrast to most previous research, which has studied the technical requirements or devices of the IoT that are required in healthcare services, or ways in which connectivity and performance can be improved using the IoT. Based on known models of technology acceptance, an integrated framework was developed to investigate the impact of security and privacy concerns, and familiarity with the technology, on users' trust in the IoT, and then to measure the effect of that trust on Omani users' attitudes regarding use ofIoT technologies to receive healthcare services. This framework enabled the measurement of risk perception as a mediator between user trust and their attitudes towards using the IoT. Data were collected from 387 respondents and were analysed using SPSS 25 and AMOS 25 statistics software. Exploratory and confirmatory analysis and structural equation modelling were applied. The findings showed that levels of security, privacy and familiarity affected trustin the IoT. Furthermore, these levels of trust in the IoT were found to affect both users' perceptions of risk in, and their attitude towards, using the IoT. The users' risk perception partially mediated the relations between users' trustand their attitude regarding use of the IoT. The framework was supported and interpreted by 40 per cent of the variance in the attitude towards usingthe IoT in healthcare, while the mediator showed 47 per cent of the variance in the attitude towards using the IoT inhealthcare.

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

“…With the growing invasiveness of the Internet of things, researchers have evaluated individuals' concerns about privacy especially with respect to health care data (He, Ye, Chan, Guizani, & Xu, 2018). Attitudes toward the invasion of privacy depend on risk perception and trust (Alraja, Farooque, & Khashab, 2019) and these constructs could be further investigated. Wearable devices that measure various health data can take many forms, such as smartwatches, wristbands, and instruments that can be part of a garment or even embedded in a limb.…”

Antecedents of Trust and the Continuance Intention in IoT-Based Smart Products: The Case of Consumer Wearables

“…Authors in [94] conclude that for technologies that can monitor, store, detect, and communicate with information, the users will feel threatened and hesitant to use such a technology. In relation to the wearables also, a few existing researches finds a correlation between the privacy concerns, trust level, and the continuance usage [21], [32], [35], [36], [56]. Accordingly: H 4 : Privacy concerns negatively affects the trust in the wearable devices.…”

“…While subjective norm refers to the ''perceived social pressure to perform or not to perform the behavior in question'', community interest refers to ''the factors that empower trust and interaction between objects of the same community''. In the wearable IoT context, the people generally seek opinion from their peers, and family before using a device to avoid disappointment [20], [21], [32]. The users tend to trust the wearables that trend on their social networks [34], and therefore the role of subjective norm in developing trust on a product, technology or service and their subsequent adoption must be taken into account.…”

Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network

“…Zhou et al [ 20 ] investigated the data privacy problem caused when there is increase in operators and by the approval of IoT technologies. Moreover, the framework was settled to inspect and find the consequences of privacy and security in provision of IoT new technologies [ 21 ]. This paper [ 22 ] has developed a chaos-based encryption model for a patient's data privacy.…”