Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
National Eating Disorders Association, New York City, New York, USA.
Int J Eat Disord. 2022 Sep;55(9):1229-1244. doi: 10.1002/eat.23798. Epub 2022 Aug 18.
A significant gap exists between those who need and those who receive care for eating disorders (EDs). Novel solutions are needed to encourage service use and address treatment barriers. This study developed and evaluated the usability of a chatbot designed for pairing with online ED screening. The tool aimed to promote mental health service utilization by improving motivation for treatment and self-efficacy among individuals with EDs.
A chatbot prototype, Alex, was designed using decision trees and theoretically-informed components: psychoeducation, motivational interviewing, personalized recommendations, and repeated administration. Usability testing was conducted over four iterative cycles, with user feedback informing refinements to the next iteration. Post-testing, participants (N= 21) completed the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), and a semi-structured interview.
Interview feedback detailed chatbot aspects participants enjoyed and aspects necessitating improvement. Feedback converged on four themes: user experience, chatbot qualities, chatbot content, and ease of use. Following refinements, users described Alex as humanlike, supportive, and encouraging. Content was perceived as novel and personally relevant. USE scores across domains were generally above average (~5 out of 7), and SUS scores indicated "good" to "excellent" usability across cycles, with the final iteration receiving the highest average score.
Overall, participants generally reflected positively on interactions with Alex, including the initial version. Refinements between cycles further improved user experiences. This study provides preliminary evidence of the feasibility and acceptance of a chatbot designed to promote motivation for and use of services among individuals with EDs.
Low rates of service utilization and treatment have been observed among individuals following online eating disorder screening. Tools are needed, including scalable, digital options, that can be easily paired with screening, to improve motivation for addressing eating disorders and promote service utilization.
在需要和接受饮食障碍(ED)治疗的人群之间存在显著差距。需要创新的解决方案来鼓励服务的使用和解决治疗障碍。本研究开发并评估了一种专为与在线 ED 筛查配对而设计的聊天机器人的可用性。该工具旨在通过提高 ED 患者的治疗动机和自我效能感来促进心理健康服务的利用。
使用决策树和基于理论的组件设计了聊天机器人原型 Alex:心理教育、动机访谈、个性化推荐和重复管理。经过四个迭代周期进行了可用性测试,用户反馈为下一个迭代提供了改进建议。测试后,参与者(N=21)完成了系统可用性量表(SUS)、有用性、满意度和易用性问卷(USE)以及半结构化访谈。
访谈反馈详细说明了参与者喜欢和需要改进的聊天机器人方面。反馈集中在四个主题上:用户体验、聊天机器人质量、聊天机器人内容和易用性。经过改进,用户认为 Alex 具有人性化、支持性和鼓励性。内容被认为是新颖的和个人相关的。各领域的 USE 评分普遍高于平均值(~7 分中的 5 分),并且在各轮次中 SUS 评分均表明可用性“良好”至“优秀”,最后一轮的平均得分最高。
总体而言,参与者对与 Alex 的互动,包括初始版本,都给予了积极的反馈。各轮次之间的改进进一步提高了用户体验。本研究初步证明了一种专为提高 ED 患者服务动机和使用服务而设计的聊天机器人的可行性和可接受性。
在线饮食障碍筛查后,接受治疗的人数比例较低。需要工具,包括可扩展的数字选项,可以轻松与筛查配对,以提高解决饮食障碍的动机并促进服务的使用。