Age and sex effects on Super G performance are consistent across internet devices.

IF 1.6 Q2 EDUCATION & EDUCATIONAL RESEARCH
Andrew Hooyman, Sydney Y Schaefer
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引用次数: 0

Abstract

There have been recent advances in the application of online games that assess motor skill acquisition/learning and its relationship to age and biological sex, both of which are associated with dementia risk. While this online motor learning assessment (called Super G), along with other computer-based cognitive tests, was originally developed to be completed on a computer, many people (including older adults) have been shown to access the internet through a mobile device. Thus, to improve the generalizability of our online motor skill learning game, it must not only be compatible with mobile devices but also yield replicable effects of various participant characteristics on performance relative to the computer-based version. It is unknown if age and sex differentially affect game performance as a function of device type (keyboard versus touchscreen control). Thus, the purpose of this study was to investigate if device type modifies the established effects of age and sex on performance. Although there was a main effect of device on performance, this effect did not alter the overall relationship between performance vs. age or sex. This establishes that Super G can now effectively be extended to both computer and mobile platforms to further test for dementia risk factors.

年龄和性别对Super G性能的影响在互联网设备中是一致的。
在线游戏在评估运动技能获得/学习及其与年龄和生理性别的关系方面的应用取得了最新进展,这两者都与痴呆症风险有关。虽然这种在线运动学习评估(称为Super G)以及其他基于计算机的认知测试最初是在计算机上完成的,但许多人(包括老年人)已经被证明可以通过移动设备访问互联网。因此,为了提高我们在线运动技能学习游戏的可推广性,它不仅必须与移动设备兼容,而且还必须产生与基于计算机的版本相比,各种参与者特征对表现的可复制影响。目前尚不清楚年龄和性别是否会根据设备类型(键盘和触摸屏控制)对游戏性能产生不同的影响。因此,本研究的目的是调查设备类型是否会改变年龄和性别对性能的既定影响。尽管设备对性能有主要影响,但这种影响并没有改变性能与年龄或性别之间的总体关系。这表明Super G现在可以有效地扩展到计算机和移动平台,以进一步测试痴呆症的风险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Serious Games
International Journal of Serious Games EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.80
自引率
16.70%
发文量
21
审稿时长
12 weeks
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