Session:「Personal Informatics & Self-Tracking」

TummyTrials: A Feasibility Study of Using Self-Experimentation to Detect Individualized Food Triggers

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025480

論文アブストラクト: Diagnostic self-tracking, the recording of personal information to diagnose or manage a health condition, is a common practice, especially for people with chronic conditions. Unfortunately, many who attempt diagnostic self tracking have trouble accomplishing their goals. People often lack knowledge and skills needed to design and conduct scientifically rigorous experiments, and current tools provide little support. To address these shortcomings and explore opportunities for diagnostic self tracking, we designed, developed, and evaluated a mobile app that applies a self experimentation framework to support patients suffering from irritable bowel syndrome (IBS) in identifying their personal food triggers. TummyTrials aids a person in designing, executing, and analyzing self experiments to evaluate whether a specific food triggers their symptoms. We examined the feasibility of this approach in a field study with 15 IBS patients, finding that participants could use the tool to reliably undergo a self-experiment. However, we also discovered an underlying tension between scientific validity and the lived experience of self experimentation. We discuss challenges of applying clinical research methods in everyday life, motivating a need for the design of self experimentation systems to balance rigor with the uncertainties of everyday life.

日本語のまとめ:

腸炎に悩む人たちが、日々の食事や腹痛の記録をして、統計的に腸炎のきっかけとなる原因(カフェインとか乳糖とか)をつきとめることを助けるアプリを提案した。

Making Sense of Sleep Sensors: How Sleep Sensing Technologies Support and Undermine Sleep Health

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025557

論文アブストラクト: Sleep is an important aspect of our health, but it is difficult for people to track manually because it is an unconscious activity. The ability to sense sleep has aimed to lower the barriers of tracking sleep. Although sleep sensors are widely available, their usefulness and potential to promote healthy sleep behaviors has not been fully realized. To understand people's perspectives on sleep sensing devices and their potential for promoting sleep health, we surveyed 87 and interviewed 12 people who currently use or have previously used sleep sensors, interviewed 5 sleep medical experts, and conducted an in-depth qualitative analysis of 6986 reviews of the most popular commercial sleep sensing technologies. We found that the feedback provided by current sleep sensing technologies affects users' perceptions of their sleep and encourages goals that are in tension with evidence-based methods for promoting good sleep health. Our research provides design recommendations for improving the feedback of sleep sensing technologies by bridging the gap between expert and user goals.

日本語のまとめ:

睡眠のセンシングと支援に関する技術に対する意識調査を行った。調査は、スマホアプリのレビュー、オンラインサーベイ、インタビュー。アプリによってセンサデータの解釈がまちまちで、誤解を誘発する恐れもある。

Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025635

論文アブストラクト: We consider why and how women track their menstrual cycles, examining their experiences to uncover design opportunities and extend the field's understanding of personal informatics tools. To understand menstrual cycle tracking practices, we collected and analyzed data from three sources: 2,000 reviews of popular menstrual tracking apps, a survey of 687 people, and follow-up interviews with 12 survey respondents. We find that women track their menstrual cycle for varied reasons that include remembering and predicting their period as well as informing conversations with healthcare providers. Participants described six methods of tracking their menstrual cycles, including use of technology, awareness of their premenstrual physiological states, and simply remembering. Although women find apps and calendars helpful, these methods are ineffective when predictions of future menstrual cycles are inaccurate. Designs can create feelings of exclusion for gender and sexual minorities. Existing apps also generally fail to consider life stages that women experience, including young adulthood, pregnancy, and menopause. Our findings encourage expanding the field's conceptions of personal informatics.

日本語のまとめ:

女性が生理周期をどう管理しているかを調査し、個人情報管理システムの設計指針を議論した。性別、生活習慣、ライフステージ等を配慮した設計がされるべきと主張。

Quantifying the Body and Caring for the Mind: Self-Tracking in Multiple Sclerosis

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025869

論文アブストラクト: Consumer health technologies have an enormous potential to transform the self-management of chronic conditions. However, it is unclear how individuals use self-tracking technologies to manage them. This in-depth interview study explores self-tracking practices in multiple sclerosis (MS), a complex neurological disease that causes physical, cognitive, and psychological symptoms. Our findings illustrate that when faced the unpredictable and degenerative nature of MS, individuals regained a sense of control by intertwining self-care practices with different self-tracking technologies. They engaged in disease monitoring, fitness tracking, and life journaling to quantify the body and care for the mind. We focus attention on the role of emotional wellbeing and the experience of control in self-tracking and managing MS. Finally, we discuss in which ways self-tracking technologies could support the experiential nature of control and foster mindful experiences rather than focusing only on tracking primary disease indicators.

日本語のまとめ:

多発性硬化症患者がどう病気と付き合っているかを15人にインタビューした。各自様々な方法(日記、スマホアプリ、活動計測計等)を組み合わせて自己管理していることが確認された。