使用集成编码系统检查与虚拟人类的双向交互中的非语言沟通:混合方法分析分析
Analay Perez1, Rae Sakakibara1, Srikar Baireddy1
1Department of Family Medicine, University of Michigan, 1018 Fuller St, Ann Arbor, MI, 48104, United States, 1 734-998-7124.
JMIR formative research
|August 7, 2025
概括
本研究引入了一种混合方法方法,用于分析患者与医生的互动中的非语言沟通. 整合定量和定性编码可以提高对非语言线索及其影响的理解.
科学领域:
- 医学沟通研究 医学沟通研究
- 健康 专业 教育 卫生 专业 教育
- 人与计算机的交互
背景情况:
- 患者与医生的沟通涉及复杂的语言和非语言元素.
- 传统分析二元体中非语言沟通使用单独的定量或定性方法.
- 有限的研究集成了患者和医生的双边关系中非语言沟通的定量和定性编码.
研究的目的:
- 展示分析非语言通信数据的混合方法方法.
- 为患者和医生的非语言沟通提出一个综合编码系统.
- 提高对临床环境中非语言沟通动态的理解.
主要方法:
- 通过对32个患者和医生的二次对视频录像进行二次分析.
- 开发一个代码书,整合文献审查和诱导性定性方法.
- 选择2名参与者进行深入的混合方法分析,使用联合显示.
主要成果:
- 在重复互动后观察到的非语言行为 (例如,抬起眉毛,点头,微笑) 的频率和持续时间增加.
- 数量 (频率) 和质量 (上下文) 数据的整合为非语言沟通提供了更深入的见解.
- 从综合分析中开发个人层面的元推理.
结论:
- 开发的综合编码系统提供了一种逐步方法来分析双向非语言沟通.
- 这种混合方法方法可以推进在患者-医生双边关系和相关的教育环境中分析非语言沟通.
- 鼓励在整个健康科学研究中应用和完善综合编码系统.
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