Enhancing Nonverbal Communication through Technology

通过技术加强非语言交流

• 批准号: 9756468
• 负责人: Timothy Guetterman
• 金额: $ 9.21万
• 依托单位: CREIGHTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-06 至 2020-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9756468
• 关键词: Active Learning; Address; Behavior; Behavior assessment; Care given by nurses; Cessation of life; Client satisfaction; Clinical; Cognitive; Communication; Computer software; Computers; Data; Data Science; Data Set; Emotional; Empathy; Ensure; Event; Eye; Eyebrow structure; Face; Facial Expression; Family Practice; Feedback; Future; Goals; Grant; Health; Health Communication; Health Personnel; Health Professional; Healthcare; Human; Informatics; Information Sciences; Intelligence; Intervention; Intervention Studies; Interview; Investigation; K-Series Research Career Programs; Knowledge; Latina; Lead; Learning; Link; Measures; Mediating; Medical Errors; Medical Students; Mentors; Methods; Michigan; Modeling; Morbidity - disease rate; Mothers; Nonverbal Communication; Outcome; Participant; Patient Care; Patient-Focused Outcomes; Patients; Performance; Provider; Public Health; Public Health Informatics; Randomized Controlled Trials; Research; Research Infrastructure; Research Methodology; Research Personnel; Risk; Sentinel; Smiling; Speech; System; Technology; Testing; Thinness; Training; Training Programs; Universities; Video Recording; Woman; Work; Writing; base; biomedical informatics; body language; cancer diagnosis; career; communication behavior; computer science; conflict resolution; cost; design; experience; gaze; human model; improved; innovation; insight; interest; leukemia; novel; patient oriented; patient-clinician communication; programs; public health relevance; response; satisfaction; secondary analysis; sensor; simulation; skills; theories; virtual human; virtual reality

Project Summary This career development award will enable me to develop the necessary skills to conduct and lead biomedical informatics interventions that address crucial health communications issues throughout healthcare. Poor healthcare communication is a serious public health issue that is linked to medical errors, avoidable patient harm and death, suboptimal health outcomes, and low patient satisfaction(1-11). The scientific aims of this health informatics research are to: 1) investigate the mediating influence of computer based nonverbal communication training using virtual human software—MPathic-VR; 2) refine a conceptual model of nonverbal communication; and 3) develop and test an automated assessment of nonverbal communication in the virtual human software. Virtual humans—intelligent, computer-based conversational agents—enable healthcare professionals to develop communication skills through an engaging and active learning experience: practicing communication behavior; receiving assessment feedback on their cognitive, verbal, and nonverbal behaviors; and then practicing again incorporating feedback. A recently concluded trial with the virtual human software found evidence of improved verbal and nonverbal communication skills relative to a computer-based control module condition. However, previous analyses of virtual human software data did not specifically investigate how the software led to improvement in nonverbal communication skills. Aim 1 of this study is to understand how nonverbal behavior improved by conducting a secondary analysis of virtual human trial data using mixed methods. Because nonverbal communication is an important, but often unaddressed, aspect of communication assessment, Aim 2 will develop a new conceptual model of nonverbal communication through interviews with 20 providers. Based on those results, Aim 3 will add an automated nonverbal communication behavior assessment and feedback mechanism to MPathic-VR and conduct a validity check with 30 medical students. My overall career goal is to become an independent investigator focused on applying computer and information sciences to improve dissemination of biomedical information in health settings, which I will accomplish by achieving four training goals: 1) analyze verbal and nonverbal communication, 2) analyze dyadic data, 3) apply virtual human technologies to communication interventions, and 4) obtain advanced skills in grant writing. The mentoring team is experienced with informatics-based interventions, health communication investigations, and mixed methods research. In addition, the University of Michigan and the Department of Family Medicine offer a world-class research infrastructure with strong support for early career investigators through defined programs and courses. Completing this research and the proposed training goals is critical to developing a rigorous R01 intervention study. This work is also necessary for developing a novel scenario within the MPathic-VR system that can be tested in a future intervention, and it will provide the knowledge needed to advance interactive training in verbal and nonverbal communication.

项目摘要 这个职业发展奖将使我能够发展必要的技能来指导和领导生物医学 信息学干预，解决整个医疗保健领域的关键健康沟通问题。穷 医疗沟通是一个严重的公共卫生问题，与医疗差错有关，患者是可以避免的 伤害和死亡，健康结果不佳，以及患者满意度低(1-11)。这样做的科学目的是 卫生信息学研究的目的是：1)调查计算机非言语的中介影响 使用虚拟人软件MPathic-VR进行沟通训练；2)提炼非言语的概念模型 交流；以及3)开发和测试虚拟环境中非语言交流的自动评估 人类软件。虚拟人-基于计算机的智能对话代理-使医疗保健成为可能 专业人士通过引人入胜和积极的学习体验发展沟通技能：实践 交流行为；接受对他们的认知、语言和非语言行为的评估反馈； 然后再次练习结合反馈。最近结束的对虚拟人软件的试验 与基于计算机的控制相比，发现了提高语言和非语言沟通技能的证据 模块状态。然而，之前对虚拟人软件数据的分析并没有具体调查 这款软件是如何提高非语言沟通能力的。这项研究的目标1是了解 通过使用MIXED对虚拟人试验数据进行二次分析，非语言行为如何得到改善 方法：研究方法。因为非语言交流是交流的一个重要方面，但往往没有被提及 评估，目标2将通过采访开发一个新的非语言交流的概念模型 20家供应商。基于这些结果，Aim 3将增加一个自动的非语言交流行为 建立MPathic-VR的评估和反馈机制，并对30名医学生进行效度检验。 我的总体职业目标是成为一名独立调查员，专注于应用计算机和 信息科学，以改善卫生环境中生物医学信息的传播，我将 通过实现四个培训目标来完成：1)分析语言和非语言交流，2)分析 二元数据，3)将虚拟人技术应用于通信干预，4)获得高级技能 在赠款写作中。指导团队在基于信息学的干预、健康 沟通调查和混合方法研究。此外，密歇根大学和 家庭医学系提供世界一流的研究基础设施，为早期职业生涯提供强有力的支持 通过规定的方案和课程进行调查。完成本研究和建议的培训目标 对于开展严谨的R01干预研究至关重要。这项工作也是发展一部小说所必需的 MPathic-VR系统中的场景，可以在未来的干预中进行测试，它将提供 提高语言和非语言交流互动培训所需的知识。