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Towards a Model of Multidimensional Cognitive Load Telemetry
Key insights
6 takeaways- 01Current methods for measuring cognitive load in games are limited to one-dimensional, group-level assessments, failing to provide the individual-level validity required for actionable design recommendations.See it on page 1
- 02The proposed research aims to bridge this gap by developing a framework that maps game telemetry features to the three core constructs of Cognitive Load Theory: intrinsic load, extraneous load, and germane load.See it on page 1
- 03Preliminary analysis of Call of Duty: Black Ops 6 telemetry identified 24 unique features—such as kill-death rate, rolling averages, and directional entropy—that correlate with self-reported player frustration, confusion, and difficulty.See it on page 2
- 04To achieve individual-level validation, the study employs a longitudinal design using multilevel modeling (MLM) and dynamic structural equation modeling (dSEM) to distinguish between within-subject cognitive states and between-subject traits.See it on page 2
- 05Success criteria for the model require that telemetry-inferred load fluctuations demonstrate discriminant validity from other factors like player skill or motivation and successfully predict subsequent performance and learning trajectories.See it on page 2
- 06Future implementation of this model will allow game designers to evaluate cognitive load in real-time, enabling dynamic adjustments to game environments based on objective, theory-driven telemetry data.See it on page 2
Summary
Towards a model of multidimensional cognitive load telemetry Games User Interaction and Intelligence Lab University of California, Santa Cruz Abstract such as self-report, physiological measures, and telemetry observa- Current methods of measuring multidimensional cognitive load are tion [2, 6, 19].
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