still fascinated by how we can visualize meaningful patterns in linguistic data and - nonetheless - create aesthetically pleasing graphics. Here: Mutual Gaze in 'open-floor' QA sequences (i.e., where both recipients are licensed to answer, e.g., "where are you guys from?")

News from the multimodal transcription front ;)

Why not include in transcripts, not only data on observable behavior such as gaze movements (cf. A-gaze, etc.), phases of mutual gaze, and so on, but also imperceptible data such as pupil size changes (since they index internal cognitive effort)?

Glad to see my "Regex in R for Multimodal Analysis" workshop on IPrA-website:

pragmatics.international/page/PreConf...

You painstakingly elaborate transcripts & annotations in ELAN but no clue how to synthesize, aggregate, large-scale analyze & visualize this data? This workshop might be for you.

Also possible to read-in & structure *several (e.g., hundreds)* of #CA transcripts in *single piece of code (i.e., in 1 go)*

Here's 1 way to do this for 3 transcripts from Stivers 2021; gaps & pauses are extracted into separate columns showing simple transformations possible once the data are in R

Anybody interested in converting #CA transcripts into machine-readable data frames? Can be done with Regular expression in R.

Here's an example from Stivers (2021), extract (4):

On my way, via Frankfurt, to Marburg to teach “Regex in R”

So I’ll start my Bluesky career with some happy news @jamestrujillo.bsky.social