Dynamics of Talk-Time Sharing in Conversations #276
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Description
This PR introduces the full implementation of our methods from the paper: Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations, along with a detailed demo showcasing our analysis and results.
In the paper, we present a computational framework to measure how talk-time is distributed between speakers throughout a conversation—capturing both the overall conversation-level balance and the fine-grained dynamics that lead to it.
The demo first applies our method to the CANDOR corpus, highlighting conversational patterns in video-chat settings. We then extend the analysis to Supreme Court oral arguments to demonstrate the method's adaptability across different conversational domains.
Our approach surfaces patterns in how speakers alternate dominance, engage in back-and-forths, or maintain relatively equal control of the floor. We show that even when conversations are similarly balanced overall, their temporal talk-time dynamics can lead to diverging speaker experiences. This framework can be extended to a wide range of dialogue settings, including multi-party and role-asymmetric interactions.
For full details and further discussion, please see the original paper: Time is On My Side: Dynamics of Talk-Time Sharing in Video-chat Conversations