论文标题
Alexa抑郁和焦虑自我测试：对用户体验和信任的初步分析
Alexa Depression and Anxiety Self-tests: A Preliminary Analysis of User Experience and Trust
论文作者
论文摘要
通过网站和移动应用程序获得的心理健康资源提供了支持，咨询，日记和认知行为疗法的元素。 Alexa，Siri和Google Home等口语对话代理的扩散导致人们对开发这些设备的心理健康应用程序的兴趣越来越多。我们介绍了Alexa技能的试点研究成果，使用户可以进行抑郁和焦虑自我测试。有十名参与者可以访问两周的Alexa技能，然后在线评估该技能的可用性和信任。我们的初步评估表明，参与者信任该技能，并平均评分了可用性和用户体验。该技能的使用量很低，大多数参与者仅使用一次技能。鉴于正在进行的工作，我们还提出了有关实施和研究设计挑战的讨论，以指导当前有关为心理健康应用设计口语对话代理的文献。
Mental health resources available via websites and mobile apps provide support such as advice, journaling, and elements from cognitive behavioral therapy. The proliferation of spoken conversational agents, such as Alexa, Siri, and Google Home, has led to an increasing interest in developing mental health apps for these devices. We present the pilot study outcomes of an Alexa Skill that allows users to conduct depression and anxiety self-tests. Ten participants were given access to the Alexa Skill for two-weeks, followed by an online evaluation of the Skill's usability and trust. Our preliminary evaluation suggests that participants trusted the Skill and scored the usability and user experience as average. Usage of the Skill was low, with most participants using the Skill only once. In view of work-in-progress, we also present a discussion of implementation and study design challenges to guide the current literature on designing spoken conversational agents for mental health applications.
