Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis.
Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis.
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整合以用户为中心的设计和行为科学，为肥胖和暴食设计移动的干预：混合方法分析。
DOI：
10.2196/23809
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发表时间：
2021-05-10
影响因子：
2.2
通讯作者：
Wildes JE
中科院分区：
文献类型：
--
作者：
Graham AK;Munson SA;Reddy M;Neubert SW;Green EA;Chang A;Spring B;Mohr DC;Wildes JE
要设计有效的移动行为干预，必须考虑最终用户如何使用技术。这一混合方法分析检验了以用户为中心的设计和基础行为科学的转换潜力，为设计一种新的针对肥胖和暴饮暴食的移动干预提供信息。共有22名成年人(7/22，32%非西班牙裔白人；8/22，男性，36%)自我报告肥胖和反复暴饮暴食(≥在3个月内发作12次)，他们对减肥和减少暴饮暴食感兴趣，在一周内完成了原型设计活动。参与者利用行为经济学关于选择架构的证据，从20个选项中选择治疗策略(与治疗目标保持一致，构成暴饮暴食与体重之间关系的理论模型)，以演示哪些策略和治疗目标与最终用户相关。分析了参与者选择和实施战略的过程及其结果的变化。尽管被提示选择一种策略，但参与者会选择1到3种策略，理由是感知到的可达性、帮助或相关性是选择的原因。在一周内，所有人都至少练习了一次策略；82%(18/22)的人在实施过程中遇到了困难，23%(5/22)的人增加了新的策略。出现了几个关于实施的成功和挑战的主题，产生了支持用户行为改变的设计含义。在实验后的反思中，82%(18/22)的人表示该策略有帮助，86%(19/22)的人计划继续使用。受试者一周内体重(-2.2[SD-5.0]磅)和暴饮暴食(-1.6[SD-1.8]次)的平均变化表明临床上略有改善。应用以用户为中心的设计和基础行为科学产生了将个性化与用户选择和指导相结合的设计见解，这可能会增强数字健康干预的参与度和潜在有效性。
Accounting for how end users engage with technologies is imperative for designing an efficacious mobile behavioral intervention. This mixed methods analysis examined the translational potential of user-centered design and basic behavioral science to inform the design of a new mobile intervention for obesity and binge eating. A total of 22 adults (7/22, 32% non-Hispanic White; 8/22, 36% male) with self-reported obesity and recurrent binge eating (≥12 episodes in 3 months) who were interested in losing weight and reducing binge eating completed a prototyping design activity over 1 week. Leveraging evidence from behavioral economics on choice architecture, participants chose treatment strategies from 20 options (aligned with treatment targets composing a theoretical model of the relation between binge eating and weight) to demonstrate which strategies and treatment targets are relevant to end users. The process by which participants selected and implemented strategies and their change in outcomes were analyzed. Although prompted to select one strategy, participants selected between 1 and 3 strategies, citing perceived achievability, helpfulness, or relevance as selection reasons. Over the week, all practiced a strategy at least once; 82% (18/22) struggled with implementation, and 23% (5/22) added a new strategy. Several themes emerged on successes and challenges with implementation, yielding design implications for supporting users in behavior change. In postexperiment reflections, 82% (18/22) indicated the strategy was helpful, and 86% (19/22) planned to continue use. One-week average within-subject changes in weight (–2.2 [SD –5.0] pounds) and binge eating (–1.6 [SD –1.8] episodes) indicated small clinical improvement. Applying user-centered design and basic behavioral science yielded design insights to incorporate personalization through user choice with guidance, which may enhance engagement with and potential efficacy of digital health interventions.
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影响因子：
7.6
作者：
Iyengar, SS;Lepper, MR
通讯作者：
Lepper, MR
DOI：
10.3233/978-1-61499-635-4-139
发表时间：
2016-01-01
期刊：
EVIDENCE-BASED HEALTH INFORMATICS: PROMOTING SAFETY AND EFFICIENCY THROUGH SCIENTIFIC METHODS AND ETHICAL POLICY
影响因子：
--
作者：
Kushniruk, Andre;Nohr, Christian
通讯作者：
Nohr, Christian
影响因子：
4.8
作者：
Keller, Punam Anand;Harlam, Bari;Volpp, Kevin G.
通讯作者：
Volpp, Kevin G.
影响因子：
8.2
作者：
Hadar, Liat;Sood, Sanjay
通讯作者：
Sood, Sanjay
影响因子：
1.7
作者：
Guest, Greg;Bunce, Arwen;Johnson, Laura
通讯作者：
Johnson, Laura