The interactional discourse lab (IDLab) is a free tool available to researchers analysing spoken interaction. This web tool was initially developed as a novel method for the quantitative analysis of the discourse of interdisciplinary research engagement by Seongsook Choi, but it can be used in any interactional context (e.g. classrooms, meetings, conversations). Uniquely, it focuses on the interaction itself, rather than on merely spoken content. The tool is still in development and currently provides fairly basic graphic and network representations of interactional relationships. In its final form, however, it will facilitate probabilistic predictions of interactional dynamics based on relevant attributes selected by the researcher (e.g. discipline, seniority, expertise).Try the tool!
IDLab uses transcripts of spoken discourse to generate a network of interactions that can be used for quantitative analysis. You can upload your transcribed text file with specific attributes annotated, and the tool will generate a number of visual outputs representing the interaction. The current visual representations of the interactions generated by the IDLab are explained below.
The bar charts capture features and/or attributes assigned to the transcript and give an overview of speakers' participation and tag usage.
The tool generates two types of network, one of features and the other of participants. The size of each node represents the extent of its contribution to the interaction. The arrows in the network reflect the relationship between each feature or speaker. The thickness of arrows represents the proportional distribution of speakers' contributions.
The time line represents the development of the interaction of speakers and features during the period of the talk.