scholarly journals Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4684
Author(s):  
Lihi Dery ◽  
Artyom Jelnov

Accurately tailored support such as advice or assistance can increase user satisfaction from interactions with smart devices; however, in order to achieve high accuracy, the device must obtain and exploit private user data and thus confidential user information might be jeopardized. We provide an analysis of this privacy–accuracy trade-off. We assume two positive correlations: a user’s utility from a device is positively correlated with the user’s privacy risk and also with the quality of the advice or assistance offered by the device. The extent of the privacy risk is unknown to the user. Thus, privacy concerned users might choose not to interact with devices they deem as unsafe. We suggest that at the first period of usage, the device should choose not to employ the full capability of its advice or assistance capabilities, since this may intimidate users from adopting it. Using three analytical propositions, we further offer an optimal policy for smart device exploitation of private data for the purpose of interactions with users.

2019 ◽  
Vol 2019 ◽  
pp. 1-26 ◽  
Author(s):  
Mohammad Masoud ◽  
Yousef Jaradat ◽  
Ahmad Manasrah ◽  
Ismael Jannoud

Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices. Sensors are added to enhance the usability of these devices and improve the quality of experience through data collection and analysis. However, with the era of big data and machine learning, sensors’ data may be processed by different techniques to infer various hidden information. The extracted information may be beneficial to device users, developers, and designers to enhance the management, operation, and development of these devices. However, the extracted information may be used to compromise the security and the privacy of humans in the era of Internet of Everything (IoE). In this work, we attempt to review the process of inferring meaningful data from smart devices’ sensors, especially, smartphones. In addition, different useful machine learning applications based on smartphones’ sensors data are shown. Moreover, different side channel attacks utilizing the same sensors and the same machine learning algorithms are overviewed.


Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 300 ◽  
Author(s):  
Vincenzo Randazzo ◽  
Jacopo Ferretti ◽  
Eros Pasero

Smart devices are more and more present in every aspect of everyday life. From smartphones, which are now like mini-computers, through systems for monitoring sleep or fatigue, to specific sensors for the recording of vital parameters. A particular class of the latter regards health monitoring. Indeed, through the use of such devices, several vital parameters can be acquired and automatically monitored, even remotely. This paper presents the second generation of VITAL-ECG, a smart device designed to monitor the most important vital parameters as a “one touch” device, anywhere, at low cost. It is a wearable device that coupled with a mobile app can track bio-parameters such as: electrocardiogram, SpO2, skin temperature, and physical activity of the patient. Even if it not yet a medical device, a comprehensive comparison with a golden standard electrocardiograph is presented to demonstrate the quality of the recorded signals and the validity of the proposed approach.


Author(s):  
Jin-Pyo Lee ◽  
Yang-Sook Lee

Korean elementary school students have the lowest life satisfaction levels among OECD countries. The use of smart devices has led to smartphone addiction, which seriously affects their quality of life. This study aims to establish and test variables that affect the quality of life (QOL) of elementary school students based on the Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model, using smart device-related parental intervention, self-efficacy, social support, health promotion behaviors, family environment, smart device addiction, and QOL as measurement variables. Three elementary schools in the Republic of Korea completed self-report questionnaires. Descriptive statistical analysis and hypothetical model fit and test were used for data analysis. The model was found to be valid. Smart device addiction directly affected QOL. In contrast, health promotion behaviors, self-efficacy, social support, and smart device parental intervention indirectly affected QOL. Health-promoting behaviors also directly affected smart device addiction, self-efficacy, and family environment had a direct effect on health-promoting behavior. Therefore, to improve the QOL of elementary school students, the government should focus on developing programs that can help them actively perform health promotion activities and improve self-efficacy, social support, and parental intervention for smart devices that indirectly affect them.


Author(s):  
Julia C. Dunbar ◽  
Emily Bascom ◽  
Ashley Boone ◽  
Alexis Hiniker

Smart devices with the capability to record audio can create a trade-off for users between convenience and privacy. To understand how users experience this trade-off, we report on data from 35 interview, focus group, and design workshop participants. Participants' perspectives on smart-device audio privacy clustered into the pragmatist, guardian, and cynic perspectives that have previously been shown to characterize privacy concerns in other domains. These user groups differed along four axes in their audio-related behaviors (for example, guardians alone say they often move away from a microphone when discussing a sensitive topic). Participants surfaced three usage phases that require design consideration with respect to audio privacy: 1) adoption, 2) in-the-moment recording, and 3) downstream use of audio data. We report common design solutions that participants created for each phase (such as indicators showing when an app is recording audio and annotations making clear when an advertisement was selected based on past audio recording).


Widyaparwa ◽  
2017 ◽  
Vol 45 (2) ◽  
pp. 151-164
Author(s):  
Novita Sumarlin Putri

Tindak tutur komisif merupakan salah satu aspek pragmatik yang harus diperhatikan oleh penerjemah ketika menerjemahkan teks. Hal itu dilakukan agar menghasilkan terjemahan yang berkualitas dari aspek keakuratan dan keberterimaan. Berdasarkan alasan tersebut, penelitian ini bertujuan mendiskripsikan tingkat keakuratan dan keberterimaan terjemahan kalimat yang mengakomodasi tindak tutur komisif dengan pendekatan pragmatik. Data yang digunakan ialah tuturan komisif dan hasil penilaian kualitas terjemahan. Data bersumber dari novel Insurgent karya Veronica Roth dan informan. Data dikumpulkan dengan cara analisis dokumen, kuesioner dan Focus Group Discussion. Selanjutnya, data dianalisis dengan cara analisis domain, taksonomi, komponensial, dan tema budaya. Hasil penelitian ini menunjukkan bahwa terjemahan dalam novel Insurgent mempunyai nilai keakuratan dan keberterimaan yang cukup tinggi. Berdasarkan penelitian ini, dapat disimpulkan bahwa tingkat keakuratan dan keberterimaan pada setiap jenis tindak tutur komisif memiliki dampak terhadap kualitas keseluruhan terjemahan kalimat yang mengandung tindak tutur komisif.Commissive speech act is one of the pragmatic aspects to regard by the translator in translating the text. It aims to produce a qualified translation in regarding accuracy and acceptability aspects. According to the aspects, this research aims to describe accuracy and acceptability of translation in sentences which accommodate commissive speech act using pragmatic approach. The data used is commissive speech and qualitative translation value result. The sources of the data are an Insurgent novel by Veronica Roth and informants. The data were collected through document analysis, questionnaire, and Focus Group Discussion then analyzed the domain, taxonomic, componential analysis, and cultural theme. The result shows that translation in the Insurgent novel has high accuracy and acceptability values. This research concludes that the accuracy and acceptability level in each commissive speech act has an impact on quality of whole translated sentences which contain commissive speech act.


Author(s):  
Margarita León

The chapter first examines at a conceptual level the links between theories of social investment and childcare expansion. Although ‘the perfect match’ between the two is often taken for granted in the specialized literature as well as in policy papers, it is here argued that a more nuance approach that ‘unpacks’ this relationship is needed. The chapter will then look for elements of variation in early childhood education and care (ECEC) expansion. Despite an increase in spending over the last two decades in many European and Organisation for Economic Co-operation and Development (OECD) countries, wide variation still exists in the way in which ECEC develops. A trade-off is often observed between coverage and quality of provision. A crucial dividing line that determines, to a large extent, the quality of provision in ECEC is the increasing differentiation between preschool education for children aged 3 and above and childcare for younger children.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ali Jasem Buabbas ◽  
Tareq Mohammad ◽  
Adel K. Ayed ◽  
Hawraa Mallah ◽  
Hamza Al-Shawaf ◽  
...  

Abstract Background Telepathology is the practice of reviewing and exchanging pathological images through telecommunication systems to obtain diagnoses remotely. Studying the factors that make such a system successful and favourable is important to ensure the merits of its implementation in clinical practice. Objective This study aims to evaluate the success of a telepathology system from the users’ perspectives, using specific evaluation criteria, namely: system quality, information quality, technical service quality, user satisfaction, and benefits. Methods A sequential explanatory mixed methods design was adopted in this study, which consists of two phases. Initially, a questionnaire was distributed via WhatsApp to all of the pathologists (total: 45) working at governmental hospitals in Kuwait. Followed by, semi-structured interviews with ten senior pathologists. Results Forty pathologists responded to the questionnaire, giving an 89% response rate. There were 42.5% of the respondents aged between 35–44 years old, and 52.5% were male. The quantitative results reveal that most of the respondents were satisfied with the quality of the telepathology system with a mean of 2.6025 (Standard Deviation (SD) = 0.47176), whereas they were dissatisfied with the quality of the information with a mean of 2.4100 (SD = 1.580) and the technical support services with a mean of 2.2750 (SD = 0.99535). In addition, there was disagreement on the benefits of telepathology in clinical practice among the pathologists with a mean of 2.4667 (SD = 0.77552). The qualitative results indicate that the lack of interest in and little experience with using the system were behind the general dissatisfaction of most of the respondents. All of the interviewees were satisfied with the performance of the telepathology system and considered it successful; however, the quality of the technical support services, including training workshops, was deemed deficient. Conclusion This study concluded that telepathology system in Kuwait is functioning well and has been successful in its implementation; however, pathologists are dissatisfied with it, mainly due to the deficient quality of the technical support services provided. In addition, the successful implementation of such advanced technologies requires careful steps to be taken on multiple levels: technical, organisational, and managerial. Recommendations were suggested.


2021 ◽  
Vol 20 (3) ◽  
pp. 1-25
Author(s):  
Elham Shamsa ◽  
Alma Pröbstl ◽  
Nima TaheriNejad ◽  
Anil Kanduri ◽  
Samarjit Chakraborty ◽  
...  

Smartphone users require high Battery Cycle Life (BCL) and high Quality of Experience (QoE) during their usage. These two objectives can be conflicting based on the user preference at run-time. Finding the best trade-off between QoE and BCL requires an intelligent resource management approach that considers and learns user preference at run-time. Current approaches focus on one of these two objectives and neglect the other, limiting their efficiency in meeting users’ needs. In this article, we present UBAR, User- and Battery-aware Resource management, which considers dynamic workload, user preference, and user plug-in/out pattern at run-time to provide a suitable trade-off between BCL and QoE. UBAR personalizes this trade-off by learning the user’s habits and using that to satisfy QoE, while considering battery temperature and State of Charge (SOC) pattern to maximize BCL. The evaluation results show that UBAR achieves 10% to 40% improvement compared to the existing state-of-the-art approaches.


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