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

Alraja, Mansour Naser; Farooque, Murtaza M. Junaid; Khashab, Basel

doi:10.1109/access.2019.2904006

Cited by 112 publications

(93 citation statements)

References 88 publications

(78 reference statements)

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“…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.…”

Section: Limitations and Future Studiesmentioning

confidence: 99%

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

2019

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This research seeks to identify the barriers and factors associated with adopting wearable technology devices (WTDs) for managing personal health. Based on a partial least square (PLS) analysis of 277 US‐based residents, the findings demonstrate that performance expectancy, social influence, facilitating conditions, hedonic motivation, habit, and personalization are significant predictors of consumers' intention to use WTDs. Interestingly, price value, privacy concerns, and health consciousness are not significant. This study will inform future research on WTDs in personal health management. Theoretical and practical implications of the study are also presented.

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Section: Limitations and Future Studiesmentioning

confidence: 99%

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

2019

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“…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.…”

Section: Privacy Concerns and Trustmentioning

confidence: 99%

“…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.…”

Section: E Social Influence and Trustmentioning

confidence: 99%

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

2019

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This work develops a theoretical model to examine the trust building process in an Internet of Things (IoT) based wearable platform. Specifically, various antecedents of trust are considered and its mediating role in the continuance usage intention of the wearables is studied. We also consider the moderating effect of personal innovativeness. An empirical survey is conducted, and 688 usable responses are obtained from the millennial generation users. The data is analyzed using the partial least squares method. Results show that privacy and security concerns are the two biggest hinderances to the trust building process. The users perceive mobility, and usability to be relative advantages, both of which play a positive role in enhancing the trust levels. The effect of personal innovativeness is also observed to be significant. Interestingly, the effect of social influence on the trust level is not supported, which means that boosting a positive image within the social community will not help in the diffusion and continuance usage of the wearables. Based upon the results suitable theoretical and practical implications are discussed, with stress being given to formulate specific strategies targeted towards the highly innovative users, who can improve the overall trust scenario and ensure a continued usage of the wearables.

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“…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.…”

Section: Related Workmentioning

confidence: 99%

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

Ullah

Khan

et al. 2020

Journal of Healthcare Engineering

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There is a need to develop an effective data preservation scheme with minimal information loss when the patient’s data are shared in public interest for different research activities. Prior studies have devised different approaches for data preservation in healthcare domains; however, there is still room for improvement in the design of an elegant data preservation approach. With that motivation behind, this study has proposed a medical healthcare-IoTs-based infrastructure with restricted access. The infrastructure comprises two algorithms. The first algorithm protects the sensitivity information of a patient with quantifying minimum information loss during the anonymization process. The algorithm has also designed the access polices comprising the public access, doctor access, and the nurse access, to access the sensitivity information of a patient based on the clustering concept. The second suggested algorithm is K-anonymity privacy preservation based on local coding, which is based on cell suppression. This algorithm utilizes a mapping method to classify the data into different regions in such a manner that the data of the same group are placed in the same region. The benefit of using local coding is to restrict third-party users, such as doctors and nurses, when trying to insert incorrect values in order to access real patient data. Efficiency of the proposed algorithm is evaluated against the state-of-the-art algorithm by performing extensive simulations. Simulation results demonstrate benefits of the proposed algorithms in terms of efficient cluster formation in minimum time, minimum information loss, and execution time for data dissemination.

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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

Cited by 112 publications

References 88 publications

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

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

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

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

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