Session:「Health in the wild」

Time for Break: Understanding Information Workers' Sedentary Behavior Through a Break Prompting System

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173701

論文アブストラクト: Extended periods of uninterrupted sedentary behavior are detrimental to long-term health. While prolonged sitting is prevalent among information workers, it is difficult for them to break prolonged sedentary behavior due to the nature of their work. This work aims to understand information workers' intentions & practices around standing or moving breaks. We developed Time for Break, a break prompting system that enables people to set their desired work duration and prompts them to stand up or move. We conducted an exploratory field study (N = 25) with Time for Break to collect participants' work & break intentions and behaviors for three weeks, followed by semi-structured interviews. We examined rich contexts affecting participants' receptiveness to standing or moving breaks, and identified how their habit strength and self-regulation are related to their break-taking intentions & practices. We discuss design implications for interventions to break up periods of prolonged sedentary behavior in workplaces.

日本語のまとめ:

長時間着座する行為は死亡リスク向上に関連している.そこで,ユーザの行動を認識し,定期的に離席や行動を促すシステム”Time for Break”を開発した.3週間の評価実験の中で,ユーザの作業や休憩の習慣を計測し,習慣の強さやシステムの影響を調査した.

Crowdsourcing Treatments for Low Back Pain

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173850

論文アブストラクト: Low back pain (LBP) is a globally common condition with no silver bullet solutions. Further, the lack of therapeutic consensus causes challenges in choosing suitable solutions to try. In this work, we crowdsourced knowledge bases on LBP treatments. The knowledge bases were used to rank and offer best-matching LBP treatments to end users. We collected two knowledge bases: one from clinical professionals and one from non-professionals. Our quantitative analysis revealed that non-professional end users perceived the best treatments by both groups as equally good. However, the worst treatments by non-professionals were clearly seen as inferior to the lowest ranking treatments by professionals. Certain treatments by professionals were also perceived significantly differently by non-professionals and professionals themselves. Professionals found our system handy for self-reflection and for educating new patients, while non-professionals appreciated the reliable decision support that also respected the non-professional opinion.

日本語のまとめ:

腰痛治療を行う際に最適な治療方法の選択が,治療者によって異なり,意見が不一致している.本研究では,腰痛治療のためのナレッジベースを構築し,エンドユーザに最適な治療方法を提供し,治療者の意思決定の支援を可能にした.

Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3174077

論文アブストラクト: For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. However, despite significant academic research and commercial development in this area, diabetes apps still show low adoption rates and underwhelming clinical outcomes. Through user-interaction sessions with 16 people with Type 1 diabetes, we provide evidence that commonly used interfaces for diabetes self-management apps, while providing certain benefits, can fail to explicitly address the cognitive and emotional requirements of users. From analysis of these sessions with eight such user interface designs, we report on user requirements, as well as interface benefits, limitations, and then discuss the implications of these findings. Finally, with the goal of improving these apps, we identify 3 questions for designers, and review for each in turn: current shortcomings, relevant approaches, exposed challenges, and potential solutions.

日本語のまとめ:

糖尿病患者にとって,スマートフォンアプリケーションは手軽に利用可能な病気管理ツールであるが普及率が低い.そこでユーザインタラクションセッションを通して,既存の糖尿病自己管理ツールの問題点を明確にし,アプリケーションの改善点を提示した.

Designing in the Dark: Eliciting Self-tracking Dimensions for Understanding Enigmatic Disease

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3174139

論文アブストラクト: The design of personal health informatics tools has traditionally been explored in self-monitoring and behavior change. There is an unmet opportunity to leverage self- tracking of individuals and study diseases and health conditions to learn patterns across groups. An open research question, however, is how to design engaging self-tracking tools that also facilitate learning at scale. Furthermore, for conditions that are not well understood, a critical question is how to design such tools when it is unclear which data types are relevant to the disease. We outline the process of identifying design requirements for self-tracking endometriosis, a highly enigmatic and prevalent disease, through interviews (N=3), focus groups (N=27), surveys (N=741), and content analysis of an online endometriosis community (1500 posts, N=153 posters) and show value in triangulating across these methods. Finally, we discuss tensions inherent in designing self-tracking tools for individual use and population analysis, making suggestions for overcoming these tensions.

日本語のまとめ:

セルフトラッキングツールで病気を特定するために,多くのパターンを学習させる方法を用いている.しかし,個人で発症パータンが異なる病気も数多く存在する.本研究では,子宮内膜症に焦点をあて,インタービューなどを通して最適な設計に必要な要素を提案した.