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LooseLeaf, a Mobile-Based Application to Monitor Cannabis Use and Cannabis-Related Experiences for Youth at Clinical High-Risk for Psychosis: Development and User Acceptance Testing
International Journal of Human-Computer Interaction ( IF 4.7 ) Pub Date : 2020-10-20 , DOI: 10.1080/10447318.2020.1832744
Olga Santesteban Echarri 1, 2 , GaHyung Kim 1 , Preston Haffey 1 , Jacky Tang 1 , Jean Addington 1
Affiliation  

ABSTRACT

The objective of the study is to describe the development and user acceptance testing of a mobile-based application to monitor daily cannabis use of individuals at clinical high-risk for psychosis. Through participatory co-design, app development was staggered in two phases. In Phase 1 (app development), two focus groups were run to gather information on a) app content, and b) graphic design Participants named the application LooseLeaf, which comprised five features: home screen, inventory, daily questions, calculators, and stats. The application monitored daily cannabis consumption, cannabis-related experiences, other substances, and the perception of their day. In Phase 2 (user acceptance testing), a prototype of the application was debugged and tested by developers. Participants used the app for 1 week. Usability was measured with quantitative and qualitative data about the app through the Mobile Application Rating Scale user-version (uMARS). LooseLeaf received a good overall score in the MARS with the highest rating in esthetics, information, and functionality. In conclusion, co-design through focus groups with youth provided effective feedback for developing LooseLeaf, demonstrating initial acceptability and usability.



中文翻译:

LooseLeaf,一种基于移动设备的应用程序,用于在临床精神病高危人群中监测青少年的大麻使用和与大麻相关的经​​历:开发和用户接受度测试

抽象的

这项研究的目的是描述基于移动的应用程序的开发和用户接受度测试,该应用程序可以监测处于临床高危状态的精神病患者的个人日常大麻使用情况。通过参与式协同设计,应用程序开发分两个阶段进行。在第1阶段(应用程序开发)中,运行了两个焦点组来收集有关以下内容的信息:a)应用程序内容,b)图形设计参与者将应用程序命名为LooseLeaf,其中包含五个功能:主屏幕,库存,每日问题,计算器和统计信息。该应用程序监视了大麻的日常消费,与大麻有关的经历,其他物质以及他们对这一天的看法。在阶段2(用户接受测试)中,应用程序的原型已由开发人员调试和测试。参与者使用该应用程序已有1周。通过移动应用程序评分等级用户版本(uMARS)使用有关该应用程序的定量和定性数据来评估可用性。LooseLeaf在MARS中获得了良好的总体评分,在美学,信息和功能方面得分最高。总之,通过焦点小组与青年的共同设计为开发LooseLeaf提供了有效的反馈,证明了最初的可接受性和可用性。

更新日期:2020-10-20
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