Nudging human drivers via implicit communication by automated vehicles: Empirical evidence and computational cognitive modeling

Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage...

Dynamic mathematical models of theory of mind for socially assistive robots

Interactive machines should establish and maintain meaningful social interactions with humans. Thus, they need to understand and predict the mental states and actions of humans. Based on Theory of Mind (ToM), in order to understand and interact with each other, humans develop cognitive models of one another. Our main goal is to provide a...

An experimental analysis of human monitoring behavior in multivariable failure detection tasks

This report deals with the results of an experimental program designed to validate a model of the human observer and decision maker formulated in terms of linear estimation and classical sequential decision theory. The experiment comprised a variety of monitoring tasks in which the subjects had to detect and diagnose the occurrence of ramp...