IVML  
  about | r&d | publications | courses | people | links
   

I. Kotsia, S. Zafeiriou, G. Goudelis, I. Patras, K. Karpouzis
Multimodal Sensing in Affective Gaming
K. Karpouzis, G. Yannakakis (eds.), Emotion in Games, Socio-Affective Computing 4, Springer, DOI: DOI 10.1007/978-3-319-41316-7_4
ABSTRACT
A typical gaming scenario, as developed in the past 20 years, involves a player interacting with a game using a specialized input device, such as a joystick, a mouse, a keyboard or a proprietary game controller. Recent technological advances have enabled the introduction of more elaborated approaches in which the player is able to interact with the game using body pose, facial expressions, actions, even physiological signals. The future lies in ¡affective gaming¢, that is games that will be ¡intelligent¢ enough not only to extract the player¢s commands provided by speech and gestures, but also to extract behavioural cues, as well as emotional states and adjust the game narrative accordingly, in order to ensure more realistic and satisfactory player experience. In this chapter, we review the area of affective gaming by describing existing approaches and discussing recent technological advances. More precisely, we first elaborate on different sources of affect information in games and proceed with issues such as the affective evaluation of players and affective interaction in games. We summarize the existing commercial affective gaming applications and introduce new gaming scenarios. We outline some of the most important problems that have to be tackled in order to create more realistic and efficient interactions between players and games and conclude by highlighting the challenges such systems must overcome.
27 September, 2016
I. Kotsia, S. Zafeiriou, G. Goudelis, I. Patras, K. Karpouzis, "Multimodal Sensing in Affective Gaming", K. Karpouzis, G. Yannakakis (eds.), Emotion in Games, Socio-Affective Computing 4, Springer, DOI: DOI 10.1007/978-3-319-41316-7_4
[ save PDF] [ BibTex] [ Print] [ Back]

© 00 The Image, Video and Multimedia Systems Laboratory - v1.12