A System to Collect and Analyze Data for Problem-solving Challenges Using Computer Games (Example of GT-R: Simulator)
Abstract
The value of data and the importance of interpreting these data is one of the tenets of the digital economy. A variety of data collection sources provides a holistic view of the object and its behavior, but it also creates barriers in creating models that combine different types of data for analysis. The development of converged infrastructures facilitates the development of such complex models. For research purposes a simulator was chosen as an example of converged infrastructures. This simulator creates conditions for teamwork and helps to gather data from different sources for team’s digital profile.
During the research we held an experiment to examine limits of the use of various data sources on teamwork in game situation using simulator: the game mission to protect the team’s common object – the spaceship, heart rate monitors for biometric data collection, video- and audio streams with players behavior during the game. An article sets out in greater detail an approach to the experiment organization, methods, assessment criteria and the results (more than 750 people participated).
Data gathered from these sources were used for evaluation of teamwork and for team’s digital profiling based on three parameters: net team effectiveness (total game result), team interaction (density of interaction), team willingness to change (stress resistance and proactivity rate).
Basing on the results of experiment, restrictions and further directions for teamwork research (with the use of game simulator and data analysis systems) were formulated.
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