Gary Wolf: The quantified self

Wolf, Gary

doi:10.1037/e609302010-001

Cited by 59 publications

(19 citation statements)

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“…Swan [30] posited, "In some sense everyone is already a self-tracker since many individuals measure something about themselves or have things measured about them regularly, and also because humans have innate curiosity, tinkering, and problem-solving capabilities." Wolf and Kelly introduced the term quantified self (QS) as "a collaboration of users and toolmakers who share an interest in selfknowledge through self-tracking" [31]. The primary methodology of self-quantification is data collection, followed by visualization, cross-referencing, and the discovery of correlations.…”

Section: Self-trackingmentioning

confidence: 99%

Exploring factors impacting sharing health-tracking records

Иванов

Sharman

Rao

2015

Health Policy and Technology

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With the introduction of modern health technologies, the phenomenon of patients tracking health records has increased considerably in the recent past. The current study aims to examine the sharing of health-tracking records (HTR) by patients with different categories of acquaintances (spouse/partner, relatives, doctors, other). In this paper, we explore the critical factors that impact sharing of self-tracked information across two levels of sensitivity of HTR. Our study investigates how health motivation (HM), perceived health status (PHS), severity of health, and age influence sharing of self-tracked information. To do so, we adapted and applied the Health Belief Model (HBM) as a theoretical framework. The study employed multinomial logistic regression analysis to investigate the various factors that influence sharing of two types of HTR with different acquaintances. The statistical results were weighted to correct for known demographic discrepancies. Results indicated that HM, severity, and age substantially increase the likelihood of sharing HTR with health or medical professionals in comparison to other categories. In contrast, PHS increases the likelihood of information sharing with "other" acquaintances as opposed to with doctors. These findings are consistent with existing theory on HBM, wherein behavior appears to be predicted on the basis of/by both the individual's motivation to achieve an outcome and the expectation that a specific action will result in that outcome.

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Section: Self-trackingmentioning

confidence: 99%

Exploring factors impacting sharing health-tracking records

Иванов

Sharman

Rao

2015

Health Policy and Technology

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“…Estos defienden las prácticas de self-tracking como un modo de medición reflexivo que permitiría hacer más eficientes nuestro yo, cuerpo y diario vivir (Wolf, 2010). Bajo la cuantificación del yo, la identidad y el cuerpo pasarían mejorar su performance: no solo se vuelven entidades productoras de datos, sino que a la vez objetos de intervención por esta información, en la medida que las personas cambian sus hábitos y transforman las formas de autocomprenderse por medio de los datos obtenidos (Lupton, 2013a;Licoppe, 2014).…”

Section: Self-tracking Como Motor De Ciudadanos 'Activos' Y 'Aumentados'unclassified

Transformando la bicicleta en laboratorios móviles. El caso de un self-tracking ciudadano para la ciudad de Santiago

Valderrama

2016

RAE

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TRANSFORMING BICYCLES INTO MOBILE LABORATORIES. The case of a citizen self-tracking device for the city of SantiagoDentro de la tenencia mundial por generar ciudades más inteligentes y sustentables, la creación de infraestructura urbana en favor del uso de la bicicleta se ha vuelto una meta de varias capitales como es el caso de Santiago de Chile. Ante la pregunta por cómo definir en dónde instalar esa infraestructura vial, el proyecto bottom-up Stgo2020 diseña un diminuto dispositivo de self-tracking llamado RUBI. Este permite registrar los recorridos cotidianos de ciclistas que voluntariamente deciden colaborar con el estudio. Con esta data ciudadana, los impulsores de este proyecto han creado mapas y visualizaciones del uso de la bicicleta en la ciudad, buscando ayudar a crear mejores políticas públicas en esta materia. Desde una enfoque teórico de los Estudios de ciencia, tecnología y sociedad, este artículo busca abrir la caja "negra de este dispositivo", investigando de manera etnográfica sus diferentes prototipos, programas, experimentaciones y decisiones inscritas en él, así como las variadas discontinuidades y resistencias que se generan cotidianamente al insertar este dispositivo en la bicicleta y la vida de sus ciclistas. Se argumenta que el esfuerzo por laboratorizar y cuantificar la práctica afectiva y sensorial del andar en bicicleta en largas series de bits de información, se ve siempre limitada y sobrepasada por las resistencias sociomateriales que se generan en el ensamblado de dispositivos digitales, humanos y bicicletas. De esta manera, este caso nos permitirá dar ciertas luces sobre los así denominados proyectos Smart City para la movilidad sustentable, y los problemas se que revelan cuando la ciudad, los ciudadanos y las prácticas son traducidas y definidas por regímenes basados en la sensorización y dataficación de la ecología urbana Within the global trend to generate more intelligent and sustainable cities, creating urban infrastructure in favor of cycling it has become a goal of several capitals such as Santiago of Chile. When asked about how to define where to install the bike lines and infrastructure, the bottom-up project Stgo2020 designs a tiny self-tracking device called RUBI. This allows you to record the daily tours of cyclists who voluntarily decide to collaborate with the study. With this citizen data, the promoters of this project have elaborated maps and visualizations of the use of the bicycle in the city, seeking help to make more data-driven decisions and create better public policies. Starting from a theoretical approach of the Science, Technology and Society Studies, this article seeks to open the black box of this device, investigating ethnographically different prototypes, programs, experiments and registered decisions on it, as well as the various discontinuities and resistance that is generated daily by inserting this device on the bike and the lives of their cyclists. It is argued that the effort to quantify the emotional and sensory practice of cycling in ...

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“…Further, the analysis of 'video as data ' anthropological uses of digital video with the motivations and promise of digital humanities [2] and research into an increasingly "quantified self." [3] The potential for head-mounted video capture in social research contexts (in ethnography and anthropology, for example), has been explored by researchers in visual-anthropology contexts as both a general method, and in specific, contextual applications. See Warren and Shroeder's discussion for an account of the shift toward image-based tools as a means of critically expanding anthropological discourse beyond text and speech [4].…”

Section: Introductionmentioning

confidence: 99%

Walkthrough research

Allen

Paiva

Descure

et al. 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

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This study investigates the potential of head-mounted video cameras as a technique for understanding human experience in museums. Goals of the research are to avoid over-determination of experience, instead providing digital tools for reflection and understanding. The work uses a head-mounted video camera, an interview, and a set of simple image processing techniques to explore methods for understanding relationships between people, objects, and museum spaces.

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Gary Wolf: The quantified self

Cited by 59 publications

References 0 publications

Exploring factors impacting sharing health-tracking records

Exploring factors impacting sharing health-tracking records

Transformando la bicicleta en laboratorios móviles. El caso de un self-tracking ciudadano para la ciudad de Santiago

Walkthrough research

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