Semantic video analysis for psychological research on violence in computer games

作者: Markus Mühling , Ralph Ewerth , Thilo Stadelmann , Bernd Freisleben , Rene Weber

DOI: 10.1145/1282280.1282367

关键词: Human–computer interactionState (computer science)Computer scienceGame designComputer gameField (computer science)Psychological researchVideo content analysisGame development toolMultimediaGraphical user interface

摘要: In this paper, we present an automatic semantic video analysis system to support interdisciplinary research efforts in the field of psychology and media science. The psychological question studied is whether how playing violent content computer games may induce aggression. To investigate question, extraction meaningful from required gain insights into interrelationship game events underlying neurophysiologic basis (brain activity) a player. Previously, human annotators had index according current state, which very time-consuming task. annotation large number recordings (i.e. videos) speeds up experimentation process allows researchers analyze more experimental data on objective basis. proposed for extracts several audiovisual low-level as well mid-level features deduces via machine learning approach. This requires manual annotations single only facilitate semi-supervised process. Finally, experts are allowed refine results graphical user interface. Experimental demonstrate feasibility

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