Institute for Technology in Psychiatry, McLean Hospital, Oaks Building, 115 Mill Street, Belmont, MA, 02478, USA.
Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
Behav Res Methods. 2021 Dec;53(6):2544-2557. doi: 10.3758/s13428-021-01597-3. Epub 2021 May 5.
Mobile- and web-based psychological research are a valuable addition to the set of tools available for scientific study, reducing logistical barriers for research participation and allowing the recruitment of larger and more diverse participant groups. However, this comes at the cost of reduced control over the technology used by participants, which can introduce new sources of variability into study results. In this study, we examined differences in measured performance on timed and untimed cognitive tests between users of common digital devices in 59,587 (Study 1) and 3818 (Study 2) visitors to TestMyBrain.org , a web-based cognitive testing platform. Controlling for age, gender, educational background, and cognitive performance on an untimed vocabulary test, users of mobile devices, particularly Android smartphones, showed significantly slower performance on tests of reaction time than users of laptop and desktop computers, suggesting that differences in device latency affect measured reaction times. Users of devices that differ in user interface (e.g. screen size, mouse vs. touchscreen) also show significant differences (p < 0.001) in measured performance on tests requiring fast reactions or fine motor movements. By quantifying the contribution of device differences to measured cognitive performance in an online setting, we hope to improve the accuracy of mobile- and web-based cognitive assessments, allowing these methods to be used more effectively.
移动和基于网络的心理学研究是科学研究工具集的有益补充,减少了研究参与的后勤障碍,并允许招募更大和更多样化的参与者群体。然而,这是以降低对参与者使用的技术的控制为代价的,这可能会给研究结果带来新的可变性来源。在这项研究中,我们研究了在 59587 名(研究 1)和 3818 名(研究 2)访问 TestMyBrain.org 的常见数字设备用户之间,定时和非定时认知测试的测量表现差异,TestMyBrain.org 是一个基于网络的认知测试平台。在控制年龄、性别、教育背景和非定时词汇测试的认知表现后,移动设备(特别是 Android 智能手机)的用户在反应时间测试上的表现明显慢于笔记本电脑和台式电脑的用户,这表明设备延迟的差异会影响测量的反应时间。用户界面不同的设备(例如屏幕大小、鼠标与触摸屏)在需要快速反应或精细运动的测试中的测量表现也存在显著差异(p<0.001)。通过量化设备差异对在线环境中测量认知表现的贡献,我们希望提高移动和基于网络的认知评估的准确性,从而更有效地使用这些方法。
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