Family Health Promotion in Low-SES Neighborhoods

Saksono, Herman; Castaneda‐Sceppa, Carmen; Hoffman, Jessica A.; El-Nasr, Magy Seif; Morris, Vivien; Parker, Andrea G.

doi:10.1145/3173574.3173883

Cited by 29 publications

(5 citation statements)

References 47 publications

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“…In summary, our findings corroborate prior work that shows self-tracking practices are influenced by people's social environment, such as family, friends, neighbors [13,45,46]. We extend upon this prior work by showing how individuals' beliefs shaped the way they interpreted PA tracking data; and how social influences (e.g., caregivers' aspirations for their children) shaped these beliefs.…”

Section: Caregivers' Beliefs Shaped Family Data Reflectionsupporting

confidence: 87%

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Social Reflections on Fitness Tracking Data

Saksono

Castaneda‐Sceppa

Hoffman

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Wearable activity trackers can encourage physical activity (PA)-a behavior critical for preventing obesity and reducing the risks of chronic diseases. However, prior work has rarely explored how these tools can leverage family support or help people think about strategies for being active-two factors necessary for achieving regular PA. In this 2-month qualitative study, we investigated PA tracking practices amongst 14 families living in low-income neighborhoods, where obesity is prevalent. We characterize how social discussions of PA data rarely extended beyond the early stages of experiential learning, thus limiting the utility of PA trackers. Caregivers and children rarely analyzed their experiences to derive insights about the meaning of their PA data for their wellbeing. Those who engaged in these higher-order learning processes were often influenced by parenting beliefs shaped by personal health experiences. We contribute recommendations for how technology can more effectively support family experiential learning using PA tracking data. CCS CONCEPTS • Human-centered computing → Empirical studies in ubiquitous and mobile computing.

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Section: Caregivers' Beliefs Shaped Family Data Reflectionsupporting

confidence: 87%

“…For them, education was seen as a path to achieve a safer life. Indeed, crime concerns in low-SES context can act as a barrier to children's PA [37] and self-tracking [46]. In the next section, we explore the design implications of this finding.…”

Section: Level R-none: Limited Observationmentioning

confidence: 99%

Social Reflections on Fitness Tracking Data

Saksono

Castaneda‐Sceppa

Hoffman

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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“…We have thus far designed and evaluated n-of-1 systems that focus on one person's goals and what their health providers believe those goals are or should be. However, many health behaviors are influenced by others, especially the people with whom one cohabitates, such as family members (36,37). In such situations, we might instead think of the unit of analysis as a family.…”

Section: Future Challengesmentioning

confidence: 99%

The Importance of Starting With Goals in N-of-1 Studies

Munson

Schroeder

Karkar

et al. 2020

Front. Digit. Health

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N-of-1 tools offer the potential to support people in monitoring health and identifying individualized health management strategies. We argue that elicitation of individualized goals and customization of tracking to support those goals are a critical yet under-studied and under-supported aspect of self-tracking. We review examples of self-tracking from across a range of chronic conditions and self-tracking designs (e.g., self-monitoring, correlation analyses, self-experimentation). Together, these examples show how failure to elicit goals can lead to ineffective tracking routines, breakdowns in collaboration (e.g., between patients and providers, among families), increased burdens, and even designs that encourage behaviors counter to a person's goals. We discuss potential techniques for eliciting and refining goals, scaffolding an appropriate tracking routine based on those goals, and presenting results in ways that advance individual goals while preserving individual agency. We then describe open challenges, including how to reconcile competing goals and support evolution of goals over time.

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“…There is precedence for young people being active contributors to activity-tracking projects in education contexts (Goodyear et al, 2019), as well as having specific opinions on parental involvement in digital health monitoring (Ledderer et al, 2019; Pina et al, 2017). Experimental research has highlighted that there are productive applications for activity-tracking when whole families participate (Pina et al, 2017; Saksono et al, 2018). Platforms like UNICEF’s recently retired ‘Kid Power Band’ (UNICEF, 2020) and ‘Khushi Baby’ (Bergtora Sandvik, 2020) are novel uses of wearable tracking for youth health and networked engagement with social causes.…”

Section: Discussionmentioning

confidence: 99%

“…The research agenda around youth and tracking technologies – as in wider self-tracking research – debates the potential value of informatics to support health and wellbeing, and a range of concerns: for agency, privacy and control. There are additional concerns for the ramifications of increasingly ‘datafied childhoods’ (Lupton and Williamson, 2017; Mascheroni, 2018), the role of families as co-trackers (Pina et al, 2017; Saksono et al, 2018), and the ethical issues raised by making young people the subjects of ‘other-tracking’ (Gabriels, 2016: 181).…”

Section: Introductionmentioning

confidence: 99%

‘Build a future champion’: Exploring a branded activity-tracking platform for children and parents

Lyall

2021

Media International Australia

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This article explores a specific – but highly plastic – activity-tracking platform. Marketed to parents, ‘Milo Champions’ encourages the monitoring and rewarding of children, based on their activities and behaviours. The platform incorporates a popular Australian food brand – Nestlé’s Milo – and is designed for children aged between 6 and 12. Utilising walkthrough and software studies methodologies, the platform is traced by analysing app interfaces and online promotional material. Milo Champions is a niche example in the growing category of children’s activity-tracking apps: one that wraps masculinised logics of self-tracking around a multitude of parenting practices and envisages them, being deployed through feminised practices of caregiving. This article adds to prescient discussions about the ‘datafied child’ of the 21st century, and how health and wellbeing informatics are entangled with corporate interests.

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Family Health Promotion in Low-SES Neighborhoods

Cited by 29 publications

References 47 publications

Social Reflections on Fitness Tracking Data

Social Reflections on Fitness Tracking Data

The Importance of Starting With Goals in N-of-1 Studies

‘Build a future champion’: Exploring a branded activity-tracking platform for children and parents

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