Design Opportunities in Three Stages of Relationship Development between Users and Self-Tracking Devices

Kim, Da-jung; Lee, Yeoreum; Rho, Saeyoung; Lim, Youn-kyung

doi:10.1145/2858036.2858148

Cited by 20 publications

(4 citation statements)

References 13 publications

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“…However, Kim et al [32] note that even after tracking has finished or stagnated, many people sought to keep or control access to their data. Lazar et al [33] report on those who continued tracking, hoping for future potential use of their data, even when it was no longer useful for them.…”

Section: Documenting Everyday Life With Quantified Datamentioning

confidence: 99%

Designing Documentary Informatics

Elsden

Durrant

Chatting

et al. 2017

Proceedings of the 2017 Conference on Designing Interactive Systems

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In this paper we describe a Research through Design inquiry about a speculative wedding documentation service, in the mode of the Quantified Self. We reflect on our design research, which included design ethnography, interviews, enactments of parts of the service, and the production of a concept brochure. In so doing, we explore the design of personal tracking as a documentary activity, one intended for longer-term self-expression and remembering-rather than simply to monitor, regulate and motivate a data-driven life. Developing the Lived Informatics discourse, we use our design-led inquiry to propose 'Documentary Informatics' as an alternative and longer-term design perspective on self-tracking tools.

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Section: Documenting Everyday Life With Quantified Datamentioning

confidence: 99%

Designing Documentary Informatics

Elsden

Durrant

Chatting

et al. 2017

Proceedings of the 2017 Conference on Designing Interactive Systems

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“…For researchers looking to study or design for long-term tracking, Jasmin's story highlights some challenges for long-term tracking: (1) persistent data access over a long period of time on one platform is nearly impossible, (2) frequently changing goals are not necessarily compatible with one device hence multiple devices may be needed, (3) emotional bonds with devices [26] can influence device choice and abandonment, and ( 4) "old" data can be wished for years later, taking extreme measures to preserve it and seeking out ways to integrate it with new practices or simply to reminisce.…”

Section: Jasmin: a Story Of Multiple Trackersmentioning

confidence: 99%

Opportunities and Challenges for Long-Term Tracking

Epstein

Eslambolchilar

Kay

et al. 2021

Human–Computer Interaction Series

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As self-tracking has evolved from a niche practice to a mass-market phenomenon, it has become possible to track a broad range of activities and vital parameters over years and decades. This creates both new opportunities for long term research and also illustrates some challenges associated with longitudinal research. We establish characteristics of very long-term tracking, based on previous work from diverse areas of Ubicomp, HCI, and health informatics. We identify differences between long-and short-term tracking, and discuss consequences on the tracking process. A model for long-term tracking integrates the specific characteristics and facilitates identifying viewpoints of tracking. Finally, a research agenda suggests major topics for future work, including respecting gaps in data and incorporating secondary data sources.

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“…Some designs and tools have used guided self-experimentation to lower the burden of identifying what to track [59,127,163]. Publications have examined the general strategies people take to find an appropriate tool (e.g., asking friends for advice, looking at online reviews [77]) and challenges people face in evaluating tools [138,217]. Although flexible configuration can help ensure tools are effective (e.g., OmniTrack [143], paper-based methods [12]), we found few studies of how people go about deciding whether a tool is a good fit or systems which help support this decision.…”

Section: Model Stagesmentioning

confidence: 99%

“…41 publications discussed questions of privacy in the context of data ownership. Publications questioned whether individuals or device and app developers own the rights to self-tracked data [138,231], expressed concern that a company may make tracked data public in the future [116,152], or examined how designs do or can support data access control [231,263,281]. Other publications examined privacy and ethical tensions and potential benefits around data donation, where researchers could leverage contributed self-tracked data to facilitate population-level understanding of conditions [3,23,151].…”

Section: Privacy and Ethical Challengesmentioning

confidence: 99%

Mapping and Taking Stock of the Personal Informatics Literature

Epstein

Caldeira

Figueiredo

et al. 2020

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

119

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The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library, IEEE Xplore, and PubMed. We surface that the literature has focused on studying and designing for health and wellness domains, an emphasis on understanding and overcoming barriers to data collection and reflection, and progressively fewer contributions involving artifacts being made. Our mapping review suggests directions future research could explore, such as identifying and resolving barriers to tracking stages beyond collection and reflection, engaging more with domain experts, and further discussing the privacy and ethical concerns around tracked data.

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Design Opportunities in Three Stages of Relationship Development between Users and Self-Tracking Devices

Cited by 20 publications

References 13 publications

Designing Documentary Informatics

Designing Documentary Informatics

Opportunities and Challenges for Long-Term Tracking

Mapping and Taking Stock of the Personal Informatics Literature

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