This dissertation examines the affective qualities of non-player character motion in a Virtual Reality (VR) cognitive training game, their impact on players' core affective experiences, game performance, and cognitive training outcomes. How do the movements of game characters in a VR environment affect players' experienced emotions, gameplay…

Affect detection from open-ended virtual improvisational contexts is a challenging task. To achieve this research goal, the authors developed an intelligent agent which was able to engage in virtual improvisation and perform sentence-level affect detection from user inputs. This affect detection development was efficient for the improvisational…