Abstract

Users’ experiences in mental health assessment are multifaceted, including their emotional experiences. Yet, studies of mobile apps for psychiatric assessment have centered on diagnostic accuracy and perceived usability, with little consideration of the impact of user emotional experiences. In this study, we focused on users’ perceived usability and emotions and compared the user experience of a paper-and-pencil and an app-based collection of mental health screening questionnaires: EarlyDetect. The System Usability Scale (SUS) and modality-directed emotion questionnaires were administered using paper-and-pencil or iPad. Modality was assigned pseudo-randomly on patients’ first visit at a referral-based mental health clinic. We found that patients assigned to the iPad app reported a significantly higher SUS score than patients assigned to paper-and-pencil, qualified by a modality-by-gender interaction where modality effects were significant for men but not for women. Moreover, enjoyment was positively linked to perceived usability, whereas boredom, frustration, and anxiety were negatively linked to usability. Our findings illustrate the added value of studying user experience applied to psychiatric assessments, where both emotions and gender-specific user experience should be taken into consideration. We further discuss the implications for psychiatric assessments via app versus traditional data collection.

摘要

用户在心理健康评估中的体验是多方面的，包括他们的情绪体验。然而，用于精神病学评估的移动应用程序的研究集中在诊断准确性和感知可用性上，很少考虑用户情感体验的影响。在这项研究中，我们关注用户的感知可用性和情绪，并比较了纸笔和基于应用程序的心理健康筛查问卷集合：EarlyDetect 的用户体验。系统可用性量表 (SUS) 和模态导向的情绪问卷使用纸笔或 iPad 进行管理。在患者第一次访问基于转诊的心理健康诊所时，模态被伪随机分配。我们发现分配给 iPad 应用程序的患者报告的 SUS 分数明显高于分配给纸笔的患者，这是通过按性别交互方式进行鉴定的，其中方式对男性的影响显着，但对女性不显着。此外，享受与感知可用性呈正相关，而无聊、沮丧和焦虑与可用性呈负相关。我们的发现说明了研究应用于精神病学评估的用户体验的附加价值，其中应考虑情绪和特定性别的用户体验。我们进一步讨论了通过应用程序与传统数据收集对精神病学评估的影响。享受与感知可用性呈正相关，而无聊、沮丧和焦虑与可用性呈负相关。我们的发现说明了研究应用于精神病学评估的用户体验的附加价值，其中应考虑情绪和特定性别的用户体验。我们进一步讨论了通过应用程序与传统数据收集对精神病学评估的影响。享受与感知可用性呈正相关，而无聊、沮丧和焦虑与可用性呈负相关。我们的发现说明了研究应用于精神病学评估的用户体验的附加价值，其中应考虑情绪和特定性别的用户体验。我们进一步讨论了通过应用程序与传统数据收集对精神病学评估的影响。