Research indicates that commercial exergames do not support acquisition of user Fundamental Movement Skills (FMS) owing to both technical and theoretical limitations. That is, affordable 3D sensors (e.g. Kinect®) demonstrate poor accuracy detection enabling users to ‘cheat’ motor skill outputs during gameplay and, lack fundamental design principles crucial to improve motor skill outcomes over time. Accordingly, this study outlines a principled framework to support design and deployment of video games with a primary ‘play’ purpose of motor skill acquisition. A systematic review of effective real-life interventions for motor skill acquisition was undertaken. Twenty-two studies met criteria for inclusion and were then analysed for underpinning ‘principled’ ingredients. Findings were discussed alongside fundamental game design principles, framed by The Theory of Constraints, The Exertion Framework and gaming schema from gaming literature. This led to development of a generalised framework entitled ‘PaCMAn’ (Principles and Conditions for Motor Acquisition). PaCMAn is intended to support effective design of video games for motor skill acquisition and, guide non-gaming experts (teachers, clinicians, researchers) tasked with a ‘human-in-the-loop’ deployment process deemed necessary to negotiate currently existing limitations of affordable 3D sensors.

研究表明，由于技术和理论上的局限性，商业活动游戏不支持获取用户基本运动技能（FMS）。也就是说，价格适中的3D传感器（例如Kinect®）显示出较差的精度检测，使用户无法在游戏过程中“欺骗”运动技能输出，并且缺乏基本的设计原理，这些原理对于随着时间的推移提高运动技能的结果至关重要。因此，本研究概述了一个原则性框架，该框架以主要的“玩耍”目的来获得运动技能，从而支持视频游戏的设计和部署。对运动技能获取的有效现实干预进行了系统的回顾。有22项研究符合纳入标准，然后进行了分析以确定“原则”成分的基础。研究结果与基本游戏设计原则一起进行了讨论，由游戏理论的约束理论，运动框架和游戏模式构成。这导致开发了一个通用的框架，名为“ PaCMAn”（马达获取的原理和条件）。PaCMAn旨在支持有效的运动技能视频游戏设计，并指导非游戏专家（教师，临床医生，研究人员），他们被认为有必要通过“人为在环”部署过程来协商当前存在的局限性负担得起的3D传感器。