A human-centered artificial intelligence approach for privacy protection of elderly App users in smart cities

Elahi, Haroon; Castiglione, Aniello; Wang, Guojun; Geman, Oana

doi:10.1016/j.neucom.2020.06.149

Cited by 34 publications

(16 citation statements)

References 69 publications

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“…Given that smart cities' infrastructures are public and easily accessible, it is important to robust security mechanisms to guarantee the privacy, integrity, and confidentiality of personal data. Even though many research studies identify privacy as a significant issue in smart cities, there is evidence [24] that the issues arising from the use of personal mobile and wearable sensors by applications addressing the mobility of older adults in smart cities (e.g., [10][11][12][13][14][15][16]), and for promoting healthy lifestyles in particular [17,18], are under-researched. Additionally, the privacy issues related to the gap among the digital competences of older adults and the privacy management requirements of mobile applications and related problems have not been conveniently solved yet [16].…”

Section: Discussionmentioning

confidence: 99%

“…Despite the importance of data privacy, integrity, and confidentiality, the smart city developments aiming to promote the mobility and physical activity of older adults do not conveniently address these questions [24], as can be observed in various studies [10][11][12][13][14][15][16][17][18]. Therefore, the present study aimed to contribute with solutions to surpass this gap.…”

Section: Background and Related Workmentioning

confidence: 92%

“…The use of smart technologies is increasingly considered an important mean to promote active ageing [6,7]. Therefore, many researchers aimed to develop new services based on information technologies (IT), such as ambient assisted living (AAL) [8], or smart cities' applications to promote age-friendly cities and communities [9] by facilitating the mobility of older adults [10][11][12][13][14][15][16] or by promoting healthy lifestyles (i.e., physical activity) [17,18].…”

Section: Introductionmentioning

confidence: 99%

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Security Mechanisms of a Mobile Health Application for Promoting Physical Activity among Older Adults

Bastos

Ribeiro

Silva

et al. 2021

Sensors

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Physical activity contributes to the maintenance of health conditions and functioning. However, the percentage of older adults who comply with the recommendations for physical activity levels is low when compared to the same percentages on younger groups. The SmartWalk system aims to encourage older adults to perform physical activity (i.e., walking in the city), which is monitored and adjusted by healthcare providers for best results. The study reported in this article focused on the implementation of SmartWalk security services to keep personal data safe during communications and while at rest, which were validated considering a comprehensive use case. The security framework offers various mechanisms, including an authentication system that was designed to complement the pairs of usernames and passwords with trusted execution environments and token-based features, authorization with different access levels, symmetric and asymmetric key cryptography, critical transactions review, and logging supported by blockchain technology. The resulting implementation contributes for a common understanding of the security features of trustful smart cities’ applications, which conforms with existing legislation and regulations.

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Section: Discussionmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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Security Mechanisms of a Mobile Health Application for Promoting Physical Activity among Older Adults

Bastos

Ribeiro

Silva

et al. 2021

Sensors

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“…From a technological point of view, the main aspect that should be considered is cer-tainly connected to the actual acceptability of sensors by people and, consequently, to the reliability of the acquired data not affected by behavioral conditioning due to the awareness of being observed or having behavior assessed [122]. The design of AAL systems has to consider the needs of people preferring a human-centred approach, where the end users are involved and participate in all stages of the design process [123]. A long term evaluation as part of a field trials "in the wild", regarding functionality, acceptability, and utility of the AAL systems, in general, has only been studied in a few papers [124,125].…”

Section: The Need Of a Human-centered Approachmentioning

confidence: 99%

Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population

Cicirelli

Marani

Petitti

et al. 2021

Sensors

125

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Over the last decade, there has been considerable and increasing interest in the development of Active and Assisted Living (AAL) systems to support independent living. The demographic change towards an aging population has introduced new challenges to today’s society from both an economic and societal standpoint. AAL can provide an arrary of solutions for improving the quality of life of individuals, for allowing people to live healthier and independently for longer, for helping people with disabilities, and for supporting caregivers and medical staff. A vast amount of literature exists on this topic, so this paper aims to provide a survey of the research and skills related to AAL systems. A comprehensive analysis is presented that addresses the main trends towards the development of AAL systems both from technological and methodological points of view and highlights the main issues that are worthy of further investigation.

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“…Numerous scholars have suggested that the cloud platform built by the IoT can collect customers' data and come up with various data analysis models to improve the performance of APPs, so as to increase customers' willingness to use the APPs [10][11][12][13]. The effective data analysis and application can accelerate the development of smart APPs as well as move towards the goal of innovative and smart management [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

et al. 2021

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As the environment of the Internet of Things (IoT) gradually becomes common and mature, various smart application (APP) platforms have sprung up, making what we are doing more convenient, more economical and more efficient. Then, this paper used a bank APP as the research background to discuss issues related to smart APPs. Obviously, through the bank APPs, customers can complete their transfer and payment for various expenses at home, eliminating the inconvenience of going out, which not only can alleviate traffic congestion as well as reduce carbon emissions but also can save the manpower expenditure costs for banks. Consequently, improving APP performance and increasing the number of users of an APP is a very important issue. Therefore, this paper proposed an APP performance index to evaluate the performance of a bank APP. This APP performance index is to evaluate the performance of the APP through the time interval of customers’ access to the APP. The shorter the time interval is, the greater the number of users within a unit time is. In addition, based on cost considerations and effectiveness, the sample size n is usually not too large in practice, in order to make decisions quickly and accurately in a short time. Since the fuzzy testing model based on the confidence interval can be integrated with the past accumulated experience of data experts, the testing accuracy can be leveled up under the condition of small-sized samples. Accordingly, a fuzzy evaluation model was proposed to evaluate whether the performance of the bank APP can reach the required level, and this model was also regarded as a basis for decision-making to determine whether to improve the bank APP. At the same time, we can grasp the opportunities for improvement, achieve the effect of cost reduction, energy saving and carbon reduction, and further move towards the goal of innovative and intelligent management.

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A human-centered artificial intelligence approach for privacy protection of elderly App users in smart cities

Cited by 34 publications

References 69 publications

Security Mechanisms of a Mobile Health Application for Promoting Physical Activity among Older Adults

Security Mechanisms of a Mobile Health Application for Promoting Physical Activity among Older Adults

Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population

Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

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