Sensitizing Social Interaction with a Mode-Enhanced Transcribing Process

Qualitative researchers often work with texts transcribed from social interactions such as interviews, meetings, and presentations. However, how we make sense of data to generate promising cues for further analysis is rarely discussed. This article proposes mode-enhanced transcription a tool sensitizing interaction data, defined process in which attune their attention the dynamic interplay verbal nonverbal features, expressions, acts when transcribing proofreading professional transcripts. Two scenarios using are introduced: previously collected engaging modes purposefully. Their implications research focus, collection, discussed based on demonstration dataset an illustrative review published articles that display excerpts. The outlines benefits considerations tool.