Sensitizing Social Interaction with a Mode-Enhanced Transcribing Process
提出模式增强转录作为敏感化社会互动数据的工具，帮助研究者在转录和校对过程中关注语言与非语言特征的动态互动，并介绍两种应用场景及其对研究焦点、数据收集和分析的意义。
Qualitative researchers often work with texts transcribed from social interactions such as interviews, meetings, and presentations. However, how we make sense of such data to generate promising cues for further analysis is rarely discussed. This article proposes mode-enhanced transcription as a tool for sensitizing social interaction data, defined as a process in which researchers attune their attention to the dynamic interplay of verbal and nonverbal features, expressions, and acts when transcribing and proofreading professional transcripts. Two scenarios for using mode-enhanced transcription are introduced: sensitizing previously collected data and engaging with modes purposefully. Their implications for research focus, data collection, and data analysis are discussed based on a demonstration of the process with a previously collected dataset and an illustrative review of published articles that display mode-enhanced excerpts. The article outlines the benefits and further considerations of using mode-enhanced transcription as a sensitizing tool.