TY - GEN
T1 - Towards Player’s Affective and Behavioral Visual Cues as drives to Game Adaptation
AU - Asteriadis, Stylianos
AU - Shaker, Noor
AU - Karpouzis, Kostas
AU - Yannakakis, Georgios N.
N1 - Publisher and ISBN number are missing. Tried to locate the proceedings in DBLP, but without luck. Have written to Stylianos re. more information before approval. 11.07.2013 haal
Found proceedings. There is no ISBN or publisher. Added link. Approved. 7.8.13 haal
PY - 2012
Y1 - 2012
N2 - Recent advances in emotion and affect recognition can play a crucial role in game technology. Moving from the typical game controls to controls generated from free gestures is already in the market. Higher level controls, however, can also be motivated by player’s affective and cognitive behavior itself, during gameplay. In this paper, we explore player’s behavior, as captured by computer vision techniques, and player’s details regarding his own experience and profile. The objective of the current research is game adaptation aiming at maximizing player enjoyment. To this aim, the ability to infer player engagement and frustration, along with the degree of challenge imposed by the game is explored. The estimated levels of the induced metrics can feed an engine’s artificial intelligence, allowing for game adaptation.
AB - Recent advances in emotion and affect recognition can play a crucial role in game technology. Moving from the typical game controls to controls generated from free gestures is already in the market. Higher level controls, however, can also be motivated by player’s affective and cognitive behavior itself, during gameplay. In this paper, we explore player’s behavior, as captured by computer vision techniques, and player’s details regarding his own experience and profile. The objective of the current research is game adaptation aiming at maximizing player enjoyment. To this aim, the ability to infer player engagement and frustration, along with the degree of challenge imposed by the game is explored. The estimated levels of the induced metrics can feed an engine’s artificial intelligence, allowing for game adaptation.
M3 - Article in proceedings
SP - 6
EP - 9
BT - LREC Workshop on Multimodal Corpora for Machine Learning
ER -