Abstract

An upcoming trend of affective gaming is where a player's emotional state is used to manipulate game play. This is an interesting field to explore especially for the survival horror genre that is excellent at producing player's intense emotions. In this research, we analyzed different player affective states prior to (i.e., Neutral, Anxiety, Suspense) and after (i.e., Low-Fear, Mid-Fear, High-Fear) a scary event using an affect annotation tool to collect player self-reports of their affective states during the game. Brainwave signals, heart rate and keyboard-mouse activity were also collected for analyzing the potential of automatically detecting horror-related affect. Results indicated that players were more likely to experience fear from a scary event when they were in a suspense state compared to when they were in a neutral state. In this state, players only experienced fear after experiencing surprise. Heart rate data gave the best result in classifying player affect, which achieved up to 90% overall accuracy. This highlights the potential of using player affect in survival horror games to adapt a scary event to evoke more fear from players.

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