Ah-Aloud Method to Comprehend Time-Series Emotion Observation During Gameplay: An Initial Investi...
summary
Proposes the ah-aloud method where 24 Japanese players vocalize “ah” while playing Sliding Penguin and two raters score pleasure and arousal every second on a 1–9 Affect Grid, producing 1,440 second-by-second ratings with 977/966 agreements and a >0.95 weighted kappa. Finds sharp drops in pleasure and arousal before timeouts, arousal spikes in the last 5 seconds, and lower pleasure/higher arousal near near-fall tiles. Notes limits: two raters, single game, language bound.
AI-written summary · about
related talks
03mExploration of Player Emotions, Behaviours, and Individual Differences across Game Difficulty...
06m"Let’s Get Physiological, Physiological!": A Systematic Review of Affective Gaming
08mEmotional Virtual Characters for Improving Motivation and Performance in VR Exergames
33mNavigating the Emotional Flow of Gameplay
30mLeveraging Sentiment and Topic Detection Analysis for Decoding Player..
08mPlaying with Emotions: A Systematic Review Examining Emotions and Emotion Regulation in Esports...
08mUnderstanding Player's Gesture-based Communicative Behavior in MOBA Games
18m"An Odd Kind of Pleasure": Differentiating Emotional Challenge in Digital Games