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Health scientists and urban planners have long been interested in the influence that the built environment has on the physical activities in which we engage, the environmental hazards we face, the kinds of amenities we enjoy, and the resulting impacts on our health. However, it is widely recognized that the extent of this influence, and the specific cause-and-effect relationships that exist, are still relatively unclear. Recent reviews highlight the need for more individual-level data on daily activities (especially physical activity) over long periods of time linked spatially to real-world characteristics of the built environment in diverse settings, along with a wide range of personal mediating variables. While capturing objective data on the built environment has benefited from wide-scale availability of detailed land use and transport network databases, the same cannot be said of human activity. A more diverse history of data collection methods exists for such activity and continues to evolve owing to a variety of quickly emerging wearable sensor technologies. At present, no “gold standard” method has emerged for assessing physical activity type and intensity under the real-world conditions of the built environment; in fact, most methods have barely been tested outside of the laboratory, and those that have tend to experience significant drops in accuracy and reliability. This paper provides a review of these diverse methods and emerging technologies, including biochemical, self-report, direct observation, passive motion detection, and integrated approaches. Based on this review and current needs, an integrated three-tiered methodology is proposed, including: (1) passive location tracking (e.g., using global positioning systems); (2) passive motion/biometric tracking (e.g., using accelerometers); and (3) limited self-reporting (e.g., using prompted recall diaries). Key development issues are highlighted, including the need for proper validation and automated activity-detection algorithms. The paper ends with a look at some of the key lessons learned and new opportunities that have emerged at the crossroads of urban studies and health sciences.

We do have a vision for a world in which people can walk to shops, school, friends' homes, or transit stations; in which they can mingle with their neighbors and admire trees, plants, and waterways; in which the air and water are clean; and in which there are parks and play areas for children, gathering spots for teens and the elderly, and convenient work and recreation places for the rest of us. (Frumkin, Frank, & Jackson, 2004, p. xvii)

In June 2017, The Human Data Commons Foundation released its first annual Quantified Self Report Card. This project consisted of a qualitative review of the privacy policy documentation of 55 private sector companies in the self-tracking and biometric data industry. Two researchers recorded their ratings on concrete criteria for each company’s website, as well as providing a blend of objective and subjective ratings on the overall ease of readability and navigability within each site’s documentation. This chapter explains the unique context of user privacy rights within the Quantified Self tracking industry, and summarises the overall results from the 2017 Quantified Self Report Card. The tension between user privacy and data sharing in commercial data-collection practices is explored and the authors provide insight into possibilities for resolving these tensions. The self-as-instrument in research is touched on in autoethnographic narrative confronting and interrogating the difficult process of immersive qualitative analytics in relation to such intensely complex and personal issues as privacy and ubiquitous dataveillance. Drawing upon excerpted reflections from the Report Card’s co-author, a few concluding thoughts are shared on freedom and choice. Finally, goals for next year’s Quantified Self Report Card are revealed, and a call extended for public participation.

Without having a shared operationalization of what constitutes a direct-to-consumer advertising (DTCA) exposure, it is impossible to accurately generalize findings about their effects. First, it needs to be established how the variables involved in exposures impact outcomes. This will allow for more accurate operationalizations.

A sample of 216 participants were recruited from Amazon’s Mechanical Turk and randomly assigned into one of four conditions to take an online survey. A 2 × 2 experiment (active/passive attention × low/high exposure) was conducted to determine if the level of attention, otherwise known as attentiveness, and the number of exposures impacted preferences for a fictitious prescription sleep aid.

Results indicated a significant difference among active and passive conditions such that active exposures resulted in stronger positive preferences.

Studies using different operationalizations should not be aggregated for generalizations about the effects of DTCA of prescription drugs.

This paper urges researchers to clearly operationalize their definitions for “exposure” and to be hesitant about generalizing findings studies using different definitions.

The paper is a conceptual investigation of the metaphysics of personal identity and the ethics of biometric passports. The paper aims to discuss these issues.

Philosophical argument, discussing both the metaphysical and the social ethics/computer ethics literature on personal identity and biometry.

The author argues for three central claims in this paper: passport are not simply representations of personal identity, they help constitute personal identity. Personal identity is not a metaphysical fact, but a set of practices, among them identity management practices (e.g. population registries) employed by governments. The use of biometry as part of these identity management practices is not an ethical problem as such, nor is it something fundamentally new and different compared to older ways of establishing personal identity. It is worrisome, however, since in the current political climate, it is systematically used to deny persons access to specific territories, rights, and benefits.

The paper ties together strands of philosophical inquiry that do not usually converse with one another, namely the metaphysics of personal identity, and the topic of identity in social philosophy and computer ethics.

This chapter explores to what extent the Quantified Self, and in general the self-tracking culture, could be considered as a ‘technology of the self’: hermeneutical apparatuses generating new processes of subjectivation. Quantified Self, described by Wolf as a ‘self-consciousness through numbers’ (Wolf, 2010), refers both to the cultural phenomenon of self-tracking with devices and to a community of creators and users of self-tracking technologies. In this context, the author considers mainly the first aspect of this phenomenon and examines how its uses are diffused throughout the social mainstream. The author begins with the author’s own personal experience using self-tracking devices, then the author considers the phenomenon of self-tracking in relation to its historical context described by Floridi as the era of the ‘4^th Revolution’ (Floridi, 2014). The second part of the chapter deals with the theoretical framework. The author discusses the Quantified Self from the perspective of the Material Engagement Theory (Malafouris, 2013) in order to outline the genealogical and anthropological perspectives of the relationship between man and technology. The author concludes that man and technology have always had a biunivocal relation; man shapes technologies that shape man, both materially and cognitively. In the final part of the essay and through the lens of Foucault’s and Agamben’s theories, the author discusses the Quantified Self as a ‘technology of self’ to underline the ambiguous nature of the phenomenon and its social and biopolitical implication in the age of transparency (Han, 2015) and surveillance capitalism (Zuboff, 2019).

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Adkere et al. (2020) use a multi triangulation approach including biometric measures to complement quantitative and qualitative data and provide and more holistic approach. The inclusion of biometric data alongside quantitative and qualitative approaches offsets some of the disadvantages of these methods and enhances the assessment evaluation of VR-based simulation training.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The first case of coronavirus disease 2019 (COVID-19) was documented in China, and the virus was soon to be introduced to its neighboring country – South Korea. South Korea, one of the earliest countries to initiate a national pandemic response to COVID-19 with fairly substantial measures at the individual, societal and governmental level, is an interesting example of a rapid response by the Global South. The current study examines contact tracing mobile applications (hereafter, contact tracing apps) for those who were subject to self-quarantine through the lenses of dataveillance and datafication. This paper analyzes online/digital data from those who were mandatorily self-quarantined by the Korean government largely due to returning from overseas travel.

This study uses an Internet ethnography approach to collect and analyze data. To extract data for this study, self-quarantined Korean individuals' blog entries were collected and verified with a combination of crawling and manual checking. Content analysis was performed with the codes and themes that emerged. In the COVID-19 pandemic era, this method is particularly useful to gain access to those who are affected by the situation. This approach advances the author’s understandings of COVID-19 contact tracing mobile apps and the experiences of self-quarantined people who use them.

The paper shows Korean citizens' understandings and views of using the COVID-19 self-tracing application in South Korea through examining their experiences. The research argues that the application functions as a datafication tool that collects the self-quarantined people's information and performs dataveillance on the self-quarantined people. This research further offers insights for various agreements/disagreements at different actors (i.e. the self-quarantined, their families, contact tracers/government officials) in the process of contact tracing for COVID-19.

This study also provides insights into the implications of information and technology as they affect datafication and dataveillance conducted on the public. This study investigates an ongoing debate of COVID-19's contact tracing method concerning privacy and builds upon an emerging body of literature on datafication, dataveillance, social control and digital sociology.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0377

While the potential of information and communication technology (ICT) for poverty reduction is widely recognised, limited knowledge exists on its use in the social protection schemes devised for the world’s poor. Drawing on the institutionalist vision of IS development and organisational change put forward by Avgerou (2000), the authors propose that computerisation of these schemes entails two processes, namely, the progressive affirmation of ICT innovation and a shift in the programmes' organisational structure, which moves from a subsidy-based model to one grounded on direct cash transfers. The purpose of this paper is to illustrate how the role of ICT in anti-poverty schemes results from concomitance of such processes.

The paper draws on a study of the public distribution system (PDS), the main food security scheme in India, as it is being computerised in the state of Karnataka. Following an interpretive case study methodology, it investigates the ongoing computerisation of the Karnataka PDS through a combination of back-end and front-end technologies, based on biometric recognition of the programme’s users.

The data reveal that transformation of the PDS results from the simultaneous processes of institutionalisation of ICT innovation and deinstitutionalisation of the extant state-led subsidy scheme, in favour of a leaner social protection system centred on cash transfers to beneficiaries. This illustrates the point that ICT innovation is intertwined with the decline of an extant social welfare structure and the rise of a new one, based on the direct transfer of benefits.

The paper offers a new theoretical perspective to illuminate the computerisation of anti-poverty programmes, a phenomenon that affects the entitlements of millions of poor people on a global scale. In parallel, it draws practical implications for countries embarking on the digitalisation of their social protection schemes.

The purpose of this paper is to present a systematic literature review of the application of eye-tracking technology within the field of library and information science. Eye-tracking technology has now reached a level of maturity, which makes the use of the technology more accessible. Subsequently, a growing interest in employing eye tracking as a methodology within library and information science research must be anticipated.

The review follows the guidelines set in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations. Two reference databases are searched for relevant references: Library and Information Science Abstracts and Library, Information Science and Technology Abstracts. The main selection criteria are peer-reviewed literature that describes the experimental setting, including which eye-tracking equipment was used, the number of test persons and reports on the eye-tracking measures. Furthermore, this study will report which other methods were applied in combination with eye tracking.

The number of published research utilizing eye-tracking technologies within library and information science (LIS) is still limited although an increase in the use of eye-tracking technologies is observed during recent years.

To the knowledge of the author, this is the first systematic review on eye-tracking technology and application in LIS.