Towards the
Automated Social Analysis of Situated Speech Data
by Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes, and
James A. Kitts
Forthcoming in Proceedings of the International Conference on Ubiquitous Computing.
ABSTRACT
We present an automated
approach for studying fine-grained details of social interactions and
relationships. Specifically, we analyze the conversational
characteristics of a group of 24 individuals over a six-month period,
explore the relationship between conversational dynamics and network
position, and identify behavioral correlates of tie strengths within a
network. The ability to study conversational dynamics and social
networks over long time scales, and to investigate their interplay with
rigor, objectivity, and transparency will complement the traditional
methods for scientific inquiry into social dynamics. They may also
enable socially aware ubiquitous computing systems that are cognizant
of and responsive to the user’s engagement with her social environment.