Park SoHyun, Choi Jeewon, Lee Sungwoo, Oh Changhoon, Kim Changdai, La Soohyun, Lee Joonhwan, Suh Bongwon
Human Centered Computing Lab., Seoul National University, Seoul, Republic of Korea.
Human Computer Interaction + Design Lab., Seoul National University, Seoul, Republic of Korea.
J Med Internet Res. 2019 Apr 16;21(4):e12231. doi: 10.2196/12231.
In addition to addiction and substance abuse, motivational interviewing (MI) is increasingly being integrated in treating other clinical issues such as mental health problems. Most of the many technological adaptations of MI, however, have focused on delivering the action-oriented treatment, leaving its relational component unexplored or vaguely described. This study intended to design a conversational sequence that considers both technical and relational components of MI for a mental health concern.
This case study aimed to design a conversational sequence for a brief motivational interview to be delivered by a Web-based text messaging application (chatbot) and to investigate its conversational experience with graduate students in their coping with stress.
A brief conversational sequence was designed with varied combinations of MI skills to follow the 4 processes of MI. A Web-based text messaging application, Bonobot, was built as a research prototype to deliver the sequence in a conversation. A total of 30 full-time graduate students who self-reported stress with regard to their school life were recruited for a survey of demographic information and perceived stress and a semistructured interview. Interviews were transcribed verbatim and analyzed by Braun and Clarke's thematic method. The themes that reflect the process of, impact of, and needs for the conversational experience are reported.
Participants had a high level of perceived stress (mean 22.5 [SD 5.0]). Our findings included the following themes: Evocative Questions and Clichéd Feedback; Self-Reflection and Potential Consolation; and Need for Information and Contextualized Feedback. Participants particularly favored the relay of evocative questions but were less satisfied with the agent-generated reflective and affirming feedback that filled in-between. Discussing the idea of change was a good means of reflecting on themselves, and some of Bonobot's encouragements related to graduate school life were appreciated. Participants suggested the conversation provide informational support, as well as more contextualized feedback.
A conversational sequence for a brief motivational interview was presented in this case study. Participant feedback suggests sequencing questions and MI-adherent statements can facilitate a conversation for stress management, which may encourage a chance of self-reflection. More diversified sequences, along with more contextualized feedback, should follow to offer a better conversational experience and to confirm any empirical effect.
除了成瘾和药物滥用外,动机性访谈(MI)越来越多地被应用于治疗其他临床问题,如心理健康问题。然而,MI的众多技术应用大多侧重于提供以行动为导向的治疗,而其关系性成分却未得到探索或描述模糊。本研究旨在设计一种对话流程,该流程兼顾MI的技术和关系性成分,以解决心理健康问题。
本案例研究旨在设计一个简短的动机性访谈对话流程,由基于网络的文本消息应用程序(聊天机器人)进行,并调查其与研究生应对压力时的对话体验。
设计了一个简短的对话流程,结合了MI技能的不同组合,以遵循MI的四个过程。构建了一个基于网络的文本消息应用程序Bonobot作为研究原型,在对话中呈现该流程。共招募了30名自我报告在学校生活中存在压力的全日制研究生,进行人口统计学信息和感知压力调查以及半结构化访谈。访谈逐字记录,并采用布劳恩和克拉克的主题分析法进行分析。报告了反映对话体验的过程、影响和需求的主题。
参与者感知压力水平较高(平均22.5[标准差5.0])。我们的研究结果包括以下主题:引发性问题和陈词滥调式反馈;自我反思和潜在安慰;对信息和情境化反馈的需求。参与者特别喜欢引发性问题的传递,但对聊天机器人生成的介于其间的反思性和肯定性反馈不太满意。讨论改变的想法是自我反思的好方法,Bonobot与研究生生活相关的一些鼓励受到了赞赏。参与者建议对话提供信息支持以及更多情境化反馈。
本案例研究提出了一个简短的动机性访谈对话流程。参与者的反馈表明,对问题和符合MI的陈述进行排序可以促进压力管理对话,这可能会鼓励自我反思的机会。应采用更多样化的流程以及更情境化的反馈,以提供更好的对话体验并确认任何实证效果。