Abstract
Conversation is clearly important in our daily lives. Functionally, it serves to deliver and exchange information. However, there is much of a conversation that lays outside of its verbal content, yet impacts directly on those involved and in a manner that might be to their detriment or benefit. For example, in an interview (which is a special class of conversation) the interviewee might needlessly interrupt the interviewer or be too silent, both of which are detrimental to the health of the conversation. This is the non-verbal component of conversation, which is to say it lays outside of the conversation’s spoken content. By and large it also lays outside the sphere of what we are consciously aware of. The unsolved problem is how the non-verbal component of a conversation might be visualised in a concise, yet effective manner that would be suitable for use in a communication skill training scenario.
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Constable, M., Dauwels, J., Dauwels, S., Umer, R., Zhou, M., Tahir, Y. (2016). Modelling Conversation. In: Magnenat-Thalmann, N., Yuan, J., Thalmann, D., You, BJ. (eds) Context Aware Human-Robot and Human-Agent Interaction. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-19947-4_4
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DOI: https://doi.org/10.1007/978-3-319-19947-4_4
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