A virtual suspect agent’s response model

We develop a computational interpersonal affective response model for virtual characters that act as suspect in a serious game for training interviewing (interrogation) skills to police officers. We implemented a model that calculates the responses of the virtual suspect based on theory and observation. We describe the aspects of the move (question asked) by the police interviewer that we distinguish and how the suspect responses to the move. This response is dependent on static personality characteristics of the suspect character (persona) and on the dynamic state of the interaction. We evaluated it by means of our test, the “Guess who you are talking to?” test, showing the response model can portray a personality in a recognizable manner