Related Experiment Video
Updated: Dec 31, 2025

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Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
Published on: December 16, 2010
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Data on player activity and characteristics in a Serious Game Environment
Data in Brief
|January 11, 2020
Summary
This study analyzed computer log data from 159 players in a Serious Game, examining how metacognition and goal orientation impact problem-solving performance. Findings reveal key relationships between player characteristics and in-game behavior.
Area of Science:
- Educational Technology
- Cognitive Psychology
- Human-Computer Interaction
Background:
- Serious Games are increasingly used for education and training.
- Understanding factors influencing player performance is crucial for optimizing Serious Game design.
- Learner characteristics like metacognition and goal orientation may significantly affect engagement and outcomes.
Purpose of the Study:
- To present a dataset of player computer log data and associated characteristics from a Serious Game.
- To investigate the relationship between learner metacognition, goal orientation, and problem-solving performance within a Serious Game context.
- To provide empirical data for future research on player behavior and learning in Serious Game environments.
Main Methods:
- Collected computer log data from 159 players during a one-hour Serious Game session.
- Recorded 85,194 log files detailing in-game actions and behaviors.
- Gathered player data including problem-solving performance, demographics, metacognition, and goal orientation measurements.
Main Results:
- The dataset contains detailed in-game behavior logs linked to individual player characteristics.
- Analysis explores correlations between metacognition, goal orientation, and problem-solving success.
- Identified patterns in player engagement and performance based on collected data.
Conclusions:
- The dataset offers valuable insights into the interplay of learner traits and game performance.
- Findings contribute to understanding how individual differences influence problem-solving in Serious Games.
- This data can inform the development of more effective and personalized Serious Game learning experiences.
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