“It Only Tells Me How I Slept, Not How to Fix It”: Exploring Sleep Behaviors and Opportunities for Sleep Technology

Zhang, Shikun; Schaub, Florian; Feng, Yuanyuan; Sadeh, Norman

doi:10.1007/978-3-030-15742-5_71

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Being aware of having reached specific values does not necessarily mean knowing how to use it. For instance, in a study on sleep tracking, Zhang et al (2019) showed that activity tracking technologies provide data that reflects sleep quality but does not tell users how to improve poor sleep, making the data unactionable and unhelpful. Ilhan will discuss her research on why it might be crucial to be health information literate to use the evaluations and data to their fullest potential.…”

Section: Health Information Literacy and Use Of Provided Information ...mentioning

confidence: 99%

Opportunities and challenges of self‐tracking technologies: Understanding information, technology, and users through the lens of information science

Ilhan

Feng

Fietkiewicz

et al. 2020

Proc Assoc Inf Sci Technol

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Health self‐tracking technologies are used for various reasons, from tracking of physical activity (e.g., counting steps) and supporting weight loss to managing chronic illness and monitoring fertility. In many cases, the technology is characterized as a facilitator, the user as the main actor, and the information as a foundation for achieving the desired outcome. Apart from obvious benefits such as gaining awareness of one's body and health, users also face a range of challenges when using various self‐tracking technologies. This panel focuses the discussion on opportunities and challenges of self‐tracking technologies from the perspective of information science. Particularly, the panelists will address the importance of the information provided by self‐tracking technologies, which is a critical component of the conceptual triad (information, technology, and users) to comprehensively understand the nature of human interactions with such technologies.

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Section: Health Information Literacy and Use Of Provided Information ...mentioning

confidence: 99%

Opportunities and challenges of self‐tracking technologies: Understanding information, technology, and users through the lens of information science

Ilhan

Feng

Fietkiewicz

et al. 2020

Proc Assoc Inf Sci Technol

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A Review of Personal Informatics Research for People with Motor Disabilities

Motahar

Wiese

2022

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Personal informatics (PI) has become an area of significant research over the past decade, maturing into a sub-field that seeks to support people from many backgrounds and life contexts in collecting and finding value in their personal data. PI research includes a focus on people with chronic conditions as a monolithic group, but currently fails to distinguish the needs of people with motor disabilities (MD). To understand how current PI literature addresses those needs, we conducted a mapping review on PI publications engaged with people with MD. We report results from 50 publications identified in the ACM DL, Pubmed, JMIR, SCOPUS, and IEEE Xplore. Our analysis shows significant incompatibilities between the needs of individuals with MD and the ways that PI literature supports them. We also found inconsistencies in the ways that disability levels are reported, that PI literature for MD excludes non-health-related data domains, and an insufficient focus on PI tools' accessibility and usability for some MD users. In contrast with Epstein et al.'s [36] recent PI review, behavior change and habit awareness were the most common motivation in these publications. Finally, many of the reviewed articles reported involvement by caregivers, trainers, healthcare providers, and researchers across the PI stages. In addition to these insights, we provide recommendations for designing PI technology through a user-centric lens that will broaden the scope of PI and include people regardless of their motor abilities.

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Sleep Planning with Awari: Uncovering the Materiality of Body Rhythms using Research through Design

Karlgren

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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“It Only Tells Me How I Slept, Not How to Fix It”: Exploring Sleep Behaviors and Opportunities for Sleep Technology

Cited by 3 publications

References 31 publications

Opportunities and challenges of self‐tracking technologies: Understanding information, technology, and users through the lens of information science

Opportunities and challenges of self‐tracking technologies: Understanding information, technology, and users through the lens of information science

A Review of Personal Informatics Research for People with Motor Disabilities

Sleep Planning with Awari: Uncovering the Materiality of Body Rhythms using Research through Design

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