Disappearing for a while - using
            <i>white lies</i>
            in pervasive computing

Bagüés, Susana Alcalde; Zeidler, Andreas; Valdivielso, Carlos Fernández; Matı́as, Ignacio R.

doi:10.1145/1314333.1314349

Cited by 13 publications

(9 citation statements)

References 3 publications

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“…Devices can, for instance, include 'plausible deniability' features that allow imprecise or false secondary data (e.g. location) to be entered by the user (Greenfield 2008;Bagüés et al 2007a). A balance sensitive to the needs of specific user groups should nonetheless be struck; the inclusion of such a feature on devices designed for cognitively impaired users could, for example, pose a significant safety risk.…”

Section: Obtrusiveness Stigma and Autonomymentioning

confidence: 99%

Ethics of the health-related internet of things: a narrative review

Mittelstadt

2017

Ethics Inf Technol

110

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Section: Obtrusiveness Stigma and Autonomymentioning

confidence: 99%

Ethics of the health-related internet of things: a narrative review

Mittelstadt

2017

Ethics Inf Technol

110

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“…At best, cooperation between developers can create privacy enhancing tools that enable users to move freely between and interact with a range of H-IoT systems. These interactions would reflect the value-laden choices of users, without negotiating individual privacy agreements with each device or service provider [73][74][75].…”

Section: Give Users Control Over Data Collection and Transmissionmentioning

confidence: 99%

Designing the Health-related Internet of Things: Ethical Principles and Guidelines

Mittelstadt

2017

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Abstract:The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols.

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“…Some researchers have proposed to use the concept of white lie to provide people with this capability. 46 QoC will also make white lying much more complex to perform, as the following example shows:…”

Section: Quality Of Data and Quality Of Contextmentioning

confidence: 99%