Automatic Detection of Everyday Social Behaviours and Environments from Verbatim Transcripts of Daily Conversations
Automatic Detection of Everyday Social Behaviours and Environments from Verbatim Transcripts of Daily Conversations
复制标题
DOI：
10.1109/percom.2019.8767403
复制
发表时间：
2019-03
期刊：
影响因子：
--
通讯作者：
Kristina Yordanova;Burcu Demiray;M. Mehl;Mike Martin
中科院分区：
文献类型：
--
作者：
Kristina Yordanova;Burcu Demiray;M. Mehl;Mike Martin
社会科学中的编码是一个过程，涉及定性或定量数据的分类，以便于进一步分析。编码通常是一个手动过程，需要花费大量的精力和时间来生成具有高有效性和评分者间可靠性的代码。虽然定量数据分析的自动化方法主要用于社会科学，但只有少数尝试自动或半自动编码定性研究中收集的数据。为了解决这个问题，在这项工作中，我们提出了一种方法，自动编码的社会行为和环境的基础上逐字逐句的日常对话。为了评估这种方法，我们分析了来自三个数据集的转录本，这些数据集包含来自以下人群的日常对话录音：（1）年轻健康成年人（德语transmits），（2）老年健康成年人（德语transmits）和（3）年轻健康成年人（英语transmits）。结果表明，它是可以自动编码的社会行为和环境的基础上逐字记录的对话。这可以减少研究人员为转录的对话分配准确代码所需的时间和精力。
Coding in social sciences is a process that involves the categorisation of qualitative or quantitative data in order to facilitate further analysis. Coding is usually a manual process that involves a lot of effort and time to produce codes with high validity and interrater reliability. Although automated methods for quantitative data analysis are largely used in social sciences, there are only a few attempts at automatically or semi-automatically coding the data collected in qualitative studies. To address this problem, in this work we propose an approach for automated coding of social behaviours and environments based on verbatim transcriptions of everyday conversations. To evaluate the approach, we analysed the transcripts from three datasets containing recordings of everyday conversations from: (1) young healthy adults (German transcriptions), (2) elderly healthy adults (German transcriptions), and (3) young healthy adults (English transcriptions). The results show that it is possible to automatically code the social behaviours and environments based on verbatim transcripts of the recorded conversations. This could reduce the time and effort researchers need to assign accurate codes to transcribed conversations.