Abstract: In order to improve the user's immersion experience in serious games, the influence of social factors in game process on game experience was studied. Game experience dimensions were divided and the social interactions during the game were categorized according to the dimensions. Hawkes process was adopted to simulate the game experience generation process affected by the social interactions. According to the maximum likelihood estimation and the users’ experience we captured, the weights of the social interactions were calculated. The game experience intensity was calculated by users’ facial expressions which were recognized by the trained HMM (Hidden Markov Model). Experimental results showed that the social interaction factors’ weights can be effectively calculated and the controllability of game experience can be improved by the provided method.

Key words: serious game experiences, social interaction factors, Hawkes process, HMM