Real-Time Backchannel Selection for ECAs According to User's Level of Interest

摘要

The preliminary evaluation shows that our listener ECA behaves like we expected. The action selection chooses the appropriate action according to the user's interest level as perceived by the ECA. The user's estimated interest level is well-adapted to adjust the decisions of the ECA to choose which backchannel is the best to display in real-time. It is also a good indicator for inferring information about the user's intention to interact. As our action selection algorithm is generic, it can also be used in an application to select actions in a gaze-based sharing attention context [5].