Periodic Tapping Mechanisms of Skill Learning in a Fast-Paced Video Game

Dataset, software, and computational models used for a project entitled "Periodic Tapping Mechanisms of Skill Learning in a Fast-Paced Video Game". This folder includes the 3 ACT-R models that are referenced in the paper as well as all the code and data that were used to preprocess and analyze the data. We are leveraging ACT-R's periodic tapping motor extension to simulate human learning at very fast speed (<= 500 ms) in the Auto Orbit video game. Folder organization: 1) Periodic Tapping Skill Learning - Code: This includes the ACT-R models, demographic information, Human & model measure files, and all the scripts that were used to generate the figures and statistics 2) Periodic Tapping Skill Learning - Data: This includes the game scores and event files (log files) for both humans and ACT-R models

本数据集、软件及计算模型均服务于题为《快节奏电子游戏中技能学习的周期性敲击机制》的研究项目。本文件夹包含论文中提及的3个ACT-R（Adaptive Control of Thought-Rational）模型，以及用于数据预处理与分析的全部代码与数据集。本研究依托ACT-R的周期性敲击运动扩展模块，模拟人类在《Auto Orbit》电子游戏中的高速（≤500毫秒）学习过程。文件夹组织如下：1. 《周期性敲击技能学习 - 代码》：内含ACT-R模型、人口统计学信息、人类与模型行为测量文件，以及用于生成图表与统计结果的全部脚本；2. 《周期性敲击技能学习 - 数据》：包含人类玩家与ACT-R模型的游戏得分及事件文件（日志文件）