Crowd-sourced Story Telling for Long-term Interaction

Long-term interaction is quite hard to machines since they do not have enough resources for the interaction and the repetition of behaviors. Thus, we introduce a method that can gather stories from the crowd and recommend a story to a user based on similarity-attraction. Moreover, we describe a virtual agent that can express the emotion of a story with non-verbal gesture for human-like interaction.

System architecture and data flow

Facial expressions for six emotions and neutral state

(a) GUI of the user client for interaction with a user (b) GUI for assessing a user’s personality and preferences