The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Finding ways of reducing undesired behavior in online interactions is at the forefront of the social computing research agenda. One promising way to reduce perceived “bad behavi...
Jens Riegelsberger, Scott Counts, Shelly Farnham, ...
In this paper we introduce a system that automatically adds different types of non-verbal behavior to a given dialogue script between two virtual embodied agents. It allows us to t...
Werner Breitfuss, Helmut Prendinger, Mitsuru Ishiz...
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Conversation partners on mobile phones can align their walking gait without physical proximity or visual feedback. We investigate gait synchronization, measured by accelerometers ...
Roderick Murray-Smith, Andrew Ramsay, Simon Garrod...