@Article{作者信息:doi / 10.2196/33545 = " Ramadurai Ramya和贝克汉姆,艾琳·麦克休,R凯瑟琳和Bj {\ " o} rgvinsson刺{\“o} stur和胡子,考特尼”,title =“参与一个解释偏见智能手机应用实施干预:系列”,杂志=“JMIR“健康”,年= " 2022 ",月=“8月”,天=“17”,体积=“9”,数量=“8”,页面=“e33545”,关键词= "参与;心理健康应用;认知偏见矫正;人类的支持;移动健康;移动健康;背景:使用心理健康智能手机应用程序是一个未被充分研究的，但在追求提高疗效的过程中理解的关键结构。目的:本研究旨在检验一款名为HabitWorks的新应用程序的参与度是一个多维结构。HabitWorks提供了个性化的解释偏见干预，并包括各种策略来增强参与度，如人类支持、个性化和自我监控。方法:我们在一项初步研究中检查了应用程序的使用情况(n=31)，并确定了5种行为参与模式:持续低、下降、坚持、高日记和超级用户。 Results: We present a series of cases (5/31, 16{\%}) from this trial to illustrate the patterns of behavioral engagement and cognitive and affective engagement for each case. With rich participant-level data, we emphasize the diverse engagement patterns and the necessity of studying engagement as a heterogeneous and multifaceted construct. Conclusions: Our thorough idiographic exploration of engagement with HabitWorks provides an example of how to operationalize engagement for other mental health apps. ", issn="2368-7959", doi="10.2196/33545", url="https://mental.www.mybigtv.com/2022/8/e33545", url="https://doi.org/10.2196/33545", url="http://www.ncbi.nlm.nih.gov/pubmed/35976196" }