getTurnTakingMatrix {vocaldia} | R Documentation |
getSampledVocalCountMatrix: generate vocalisation diagrams
Description
Generate a vocalisation diagram with absolute vocalisation durations.
Usage
getTurnTakingMatrix(
df,
begin = "begin",
end = "end",
nodecolumn = "role",
individual = FALSE,
noPauseTypes = FALSE
)
Arguments
df |
a data frame consisting, minimally, of a column for vocalisation/pause start times, a column for end times, and a column identifying the speaker, speaker role or 'Floor' (for silences). |
begin |
the name of the column containing the start time of the vocalisation event in a row. |
end |
the name of the column containing the end time of the vocalisation event in the same row. |
nodecolumn |
the name of the column containing the node (speaker) name (e.g. 'speaker', 'role'). |
individual |
whether to include individual speakers or group them into a single Vocalisation node |
noPauseTypes |
if TRUE, ignore distinctions between pauses (SwitchingPause, GrpSwitchingPause, etc) |
Details
A vocalisation diagram (vocaldia) is a representation of a
dialogue as a Markov process whose cell <m,n> contains the
transition probability from node n to node m). Unlike
getSampledVocalCountMatrix
this function
accummulates event durations directly, therefore resulting in no
self-transitions (in general).
Value
a vocaldia object, consisting of a vocalisation matrix (vocmatrix) where cell <m,n> contains the counts of transitions from node n to node m, and a table of absolute durations of vocalisation events.
References
S. Luz. Automatic identification of experts and performance prediction in the multimodal math data corpus through analysis of speech interaction. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction, ICMI'13, pages 575–582, New York, NY, USA, 2013. ACM.
See Also
(Luz, 2013) and getTurnTakingMatrix
.
Examples
x <- subset(atddia, id=='Abbott_Maddock_01')
getTurnTakingMatrix(x)
getTurnTakingMatrix(x, individual=TRUE)