Serious Game Scoring for Maze Resolution

Serious games are often used as a way of conducting cost-effective simulations of critical systems. All games provide a means for "keeping score". Scoring is a systematic and objective evaluation of a player’s skill at playing games. Serious game scoring (SGS) provides a mechanism for evaluating a player’s ability to achieve the game goal(s). SGS is a framework for determining how to score diverse Serious Games (SG) based on characteristics of tasks being modeled and simulated in any particular game. Many critical systems may be found in the infrastructure that we use. As infrastructure expands it becomes desirable to find a means to reduce cost of training and improving safety making serious games more attractive. However finding objective metrics concerning how well a serious game player did within a simulation has never been considered. Our work seeks to examine how a game score can be used as a surrogate and analog to existing metrics used to measure real events effecting real critical systems.

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Published
2025-08-07
DOI
https://doi.org/10.1109/acdsa65407.2025.11166048
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Serious Game Scoring for Maze Resolution

Mihal Miu, Alexander Ferworn
Face recognition and analysis
article

Serious Game Scoring for Maze Resolution

Mihal Miu, Alexander Ferworn
article en

Abstract

Serious games are often used as a way of conducting cost-effective simulations of critical systems. All games provide a means for "keeping score". Scoring is a systematic and objective evaluation of a player’s skill at playing games. Serious game scoring (SGS) provides a mechanism for evaluating a player’s ability to achieve the game goal(s). SGS is a framework for determining how to score diverse Serious Games (SG) based on characteristics of tasks being modeled and simulated in any particular game. Many critical systems may be found in the infrastructure that we use. As infrastructure expands it becomes desirable to find a means to reduce cost of training and improving safety making serious games more attractive. However finding objective metrics concerning how well a serious game player did within a simulation has never been considered. Our work seeks to examine how a game score can be used as a surrogate and analog to existing metrics used to measure real events effecting real critical systems.

Toronto Public Health (CA)
Openalex Percentile: Top 74%
Face recognition and analysis
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