Ensuring social acceptability of technological tracking in the COVID-19 context

Georgieva, Iva; Beaunoyer, Elisabeth; Guitton, Matthieu J.

doi:10.1016/j.chb.2020.106639

Cited by 34 publications

(38 citation statements)

References 36 publications

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“…Notably, several authors including [ 9 , [73] , [74] , [75] , [76] , [77] , [78] ] raise tremendous ethical concerns by developing theoretical frameworks guiding the ethical use of COVID-19 social distancing monitoring tools and contact tracing apps. Table 2 shows published theoretical frameworks guiding the ethical use of social distancing tools amid the pandemic.…”

Section: Framework For Ethical and Socially Acceptable Use Of Artificial Intelligence Devices Iomt And Social Distancing Tools During Covmentioning

confidence: 99%

“… The framework is generalized and the list of ethical values considered is not exhaustive even though some trade-offs need to be done based on the laws, values, attitudes and norms in context-specific. [77] Transparency, security, privacy, socio-cultural determinants and reversibility. The study focused on factors influencing ethical and social acceptability of technological tracking implementation, not necessarily a framework for ethical and acceptable use of digital tools amid COVID-19.…”

Section: Framework For Ethical and Socially Acceptable Use Of Artificial Intelligence Devices Iomt And Social Distancing Tools During Covmentioning

confidence: 99%

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Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

Mbunge

Millham

Sibiya

et al. 2021

Sustainable Operations and Computers

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Despite the successful development of vaccines, coronavirus disease (COVID-19) continues to present unprecedented challenges. Besides the ongoing vaccination activities, many countries still rely on measures including social distancing, contact tracing, mandatory face masking among others. Several digital technologies such as smart devices, social distancing tools, smart applications have been adopted to enhance public adherence to reduce secondary transmission. Such technologies use health data, symptoms monitoring, mobility, location and proximity data for contact tracing, self-isolation and quarantine compliance. The use of digital technologies has been debatable and contentious because of the potential violation of ethical values such as security and privacy, data format and management, synchronization, over-tracking, over-surveillance and lack of proper development and implementation guidelines which subsequently impact their efficacy and adoption. Also, the aggressive and mandatory use of large-scale digital technologies is not easy to implement, adhere to and subsequently difficult to practice which ultimately lead to imperfect public compliance. To alleviate these impediments, we analysed the available literature and propose an ethical framework for the use of digital technologies centred on ethical practices. The proposed framework highlights the trade-offs, potential roles and coordination of different stakeholders involved in the development and implementation of digital technologies, from various social and political contexts in Zimbabwe. We suggest that transparency, regular engagement and participation of potential users are likely to boost public trust. However, the potential violation of ethical values, poor communication, hasty implementation of digital technologies will likely undermine public trust, and as such, risk their adoption and efficacy.

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Section: Framework For Ethical and Socially Acceptable Use Of Artificial Intelligence Devices Iomt And Social Distancing Tools During Covmentioning

confidence: 99%

Section: Framework For Ethical and Socially Acceptable Use Of Artificial Intelligence Devices Iomt And Social Distancing Tools During Covmentioning

confidence: 99%

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

Mbunge

Millham

Sibiya

et al. 2021

Sustainable Operations and Computers

View full text Add to dashboard Cite

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“…As it is well known that online time alone is not a sufficient criterion to diagnose an IUD, it should be mentioned that different patterns of online use relatively robustly provide insights into negative affect accompanying addictive behavior: Withdrawal from society can be tracked via global position signal data [60] or less social interaction with others via phones and negative emotionality can be inferred from text mining messages [61]. The potential has been also described both to infer mental states in times of crisis such as COVID-19 to guide policy makers [62,63] and study the development of technological habits during the pandemic.…”

Section: The Potential Of Psychoinformatics For the Area Of Aftercare In Internet Use Disordersmentioning

confidence: 99%

The Potential of Digital Phenotyping and Mobile Sensing for Psycho-Diagnostics of Internet Use Disorders

Montag¹,

Rumpf

2021

Curr Addict Rep

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Purpose of Review The present paper provides an accessible overview on the potential of digital phenotyping and mobile sensing not only shedding light on the nature of Internet Use Disorders (IUD), but also to provide new ideas on how to improve psycho-diagnostics of mental processes linked to IUD. Recent Findings In detail, the psycho-diagnostic areas of prevention, treatment, and aftercare in the realm of IUDs are focused upon in this work. Before each of these areas is presented in more specificity, the terms digital phenotyping and mobile sensing are introduced against the background of an interdisciplinary research endeavor called Psychoinformatics. Obstacles to overcome problems in this emerging research endeavor—sensing psychological traits/states from digital footprints—are discussed together with risks and chances, which arise from the administration of online-tracking technologies in the field of IUDs. Summary Given the limited validity and reliability of traditional assessment via questionnaires or diagnostic interviews with respect to recall bias and tendencies to answer towards social desirability, digital phenotyping and mobile sensing offer a novel approach overcoming recall bias and other limitations of usual assessment approaches. This will not only set new standards in precisely mapping behavior, but it will also offer scientists and practitioners opportunities to detect risky Internet use patterns in a timely manner and to establish tailored feedback as a means of intervention.

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“…The effectiveness of COVID-19 tracking applications will not only depend on the accuracy of proximity estimation and how advanced the utilized technologies are, but also on the social acceptability of the applications (Georgieva et al, 2020). Aware of the fact that utilization rates of digital contact tracing applications will largely depend on people's sentiments regarding these applications, a number of country-level studies have been conducted in various countries including India (Garg et al, 2020), Republic of Ireland (O'Callaghan et al, 2020), Poland (Wnuk et al, 2020), Belgium (Walrave et al, 2020), Australia and Singapore (Wollongong and Michael, 2020;Goggin, 2020).…”

Section: Covid-19 Takip Uygulamaları: İnsan Odaklı Bir Analizmentioning

confidence: 99%

COVID-19 Tracking Applications: A Human-Centric Analysis

Angin

2021

European Journal of Science and Technology

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The year 2020 will always be remembered with the imprints left by COVID-19 on our lives. While the pandemic has had many undesirable effects for the whole world, one of its biggest side effects has been the fast digital transformation that has taken place, which was already in progress with the Industry 4.0 era. The readily available technology and wireless communications infrastructures paved the way for a myriad of digital technologies for the containment of the disease using mobile contact tracing applications developed by health authority organizations in many countries. The mounting privacy concerns especially with Bluetooth-enabled proximity tracing and centralized tracking technologies used by these applications have given rise to the development of new privacy-preserving contact tracing protocols. Although these new protocols have alleviated the privacy concerns of citizens to a certain extent, widespread adoption is still far from being the reality. In this paper, we analyze existing contact tracing technologies from a human-centric standpoint by focusing on their privacy implications. Based on our comprehensive dataset consisting of the contact tracing application usage information in 94 countries, and the corresponding World Bank's World Governance Indicators (WGI) data on political conditions, as well as World Values Survey (WVS) and European Values Study (EVS) data on confidence in government, we analyze our survey conducted on MTurk: the results demonstrate that privacy concerns are still the leading deterrent for people when deciding whether to use these applications. Nevertheless, it is a globally accepted argument that the most effective and fastest method for contact tracking will be digital technologies free from human errors and manual procedures. Accordingly, it is concluded that a policy of developing decentralized tracking solutions based entirely on user privacy should be followed, in which independent trusted third parties assume the role of authority in the system architecture, if absolutely necessary, in order to effectively combat the pandemic worldwide. An important feature of the systems to be developed to pave the way for widespread use is to provide the users the right to be forgotten.

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Ensuring social acceptability of technological tracking in the COVID-19 context

Cited by 34 publications

References 36 publications

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

The Potential of Digital Phenotyping and Mobile Sensing for Psycho-Diagnostics of Internet Use Disorders

COVID-19 Tracking Applications: A Human-Centric Analysis

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