Session:「Enabling Healthy Behaviors」

Trajectories of Engagement and Disengagement with a Story-Based Smoking Cessation App

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3026054

論文アブストラクト: Strong user engagement with digital technologies for behaviour change is often taken as a precursor to their longer-term efficacy. We critically examine this assumption through a qualitative study of a smoking cessation app, called NewLeaf, which allows quitters to swap personal stories. The study examined what influenced people to engage or disengage with NewLeaf, and how the app was deployed in quit attempts during a four week trial. Several properties of swapped stories were reported to promote engagement, including: authenticity, currency, contextualization of advice, and evoking a sense of community. But while the resulting engagement was sometimes productive in supporting quitting, other trajectories of use were observed involving counterproductive engagement, and a surprising pattern of productive disengagement especially among stronger quitters. We discuss how this analysis of different trajectories problematizes any simple interpretation of user engagement as an early indicator of success for behaviour change technologies.

日本語のまとめ:

行動変容のための技術へのユーザの強いエンゲージメントは、長期的な有効性の先駆けと見なされる。「NewLeaf」と呼ばれる禁煙サービスの定性的な研究を通して、この仮定を批判的に検討した。逆効果的なエンゲージメントなど意外な使用経路パターンがあった。

Lessons from Practice: Designing Tools to Facilitate Individualized Support for Quitting Smoking

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025725

論文アブストラクト: Many health care providers, with a variety of trainings, counsel clients on quitting smoking on a day-to-day basis. In their clinical practice, they draw from and adapt guidelines and research-based strategies to fit individual client situations and challenges. Designers of technologies to support quitting smoking can learn from these real world practices to create tools that better adapt to individual differences. We present findings from interviews with 28 providers with diverse experiences in smoking cessation counselling. Through analysis of their individualization strategies, challenges, and perceptions of technology, we find that providers: (1) individualize context appropriate coping strategies by involving clients in brainstorming, (2) emphasize the need to support nicotine withdrawal in clients, (3) mitigate social triggers and mediate social support for clients, and (4) need to navigate dependencies with other providers for managing medications and comorbid health conditions of clients. With this empirical understanding, we extend the discussion on the design of technology to support quitting smoking, highlight current barriers to individualization, and suggest future opportunities to address these barriers.

日本語のまとめ:

禁煙のための技術を設計するには、実践から学ぶことで、個人差に適応したツールを作成できる。禁煙カウンセリングにおける多様な経験を持つ28のプロバイダーとのインタビューから、現在の障壁を個別化することを強調し、これらの障壁に対処する将来の機会を提案する技術設計に関する議論を広げる。

Toward Usable Evidence: Optimizing Knowledge Accumulation in HCI Research on Health Behavior Change

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3026013

論文アブストラクト: Over the last ten years, HCI researchers have introduced a range of novel ways to support health behavior change, from glanceable displays to sophisticated game dynamics. Yet, this research has not had as much impact as its originality warrants. A key reason for this is that common forms of evaluation used in HCI make it difficult to effectively accumulate-and use-knowledge across research projects. This paper proposes a strategy for HCI research on behavior change that retains the field's focus on novel technical contributions while enabling accumulation of evidence that can increase impact of individual research projects both in HCI and the broader behavior-change science. The core of this strategy is an emphasis on the discovery of causal effects of individual components of behavior-change technologies and the precise ways in which those effects vary with individual differences, design choices, and contexts in which those technologies are used.

日本語のまとめ:

HCIと広範な行動変容科学の両方で、個々の影響を高めることができる証拠の蓄積を可能にしつつ、技術的貢献に焦点を当てた行動変容に関するHCI研究の戦略を提案する。行動変容技術の個々の要素の因果的効果の発見と、技術が使用される個体差、設計選択、文脈で効果が異なる正確な方法を強調する。