Nguyen Theresa M, Leow Alex D, Ajilore Olusola
Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA.
Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Brain Sci. 2023 Jun 16;13(6):959. doi: 10.3390/brainsci13060959.
Can digital technologies provide a passive unobtrusive means to observe and study cognition outside of the laboratory? Previously, cognitive assessments and monitoring were conducted in a laboratory or clinical setting, allowing for a cross-sectional glimpse of cognitive states. In the last decade, researchers have been utilizing technological advances and devices to explore ways of assessing cognition in the real world. We propose that the virtual keyboard of smartphones, an increasingly ubiquitous digital device, can provide the ideal conduit for passive data collection to study cognition. Passive data collection occurs without the active engagement of a participant and allows for near-continuous, objective data collection. Most importantly, this data collection can occur in the real world, capturing authentic datapoints. This method of data collection and its analyses provide a more comprehensive and potentially more suitable insight into cognitive states, as intra-individual cognitive fluctuations over time have shown to be an early manifestation of cognitive decline. We review different ways passive data, centered around keystroke dynamics, collected from smartphones, have been used to assess and evaluate cognition. We also discuss gaps in the literature where future directions of utilizing passive data can continue to provide inferences into cognition and elaborate on the importance of digital data privacy and consent.
数字技术能否提供一种被动且不引人注意的方式,以便在实验室之外观察和研究认知?以前,认知评估和监测是在实验室或临床环境中进行的,只能对认知状态进行横断面观察。在过去十年中,研究人员一直在利用技术进步和设备探索在现实世界中评估认知的方法。我们认为,智能手机的虚拟键盘作为一种日益普及的数字设备,可以为研究认知的被动数据收集提供理想的渠道。被动数据收集无需参与者主动参与,能够实现近乎连续的客观数据收集。最重要的是,这种数据收集可以在现实世界中进行,获取真实的数据点。这种数据收集方法及其分析能够更全面、可能也更适当地洞察认知状态,因为个体内部认知随时间的波动已被证明是认知衰退的早期表现。我们回顾了围绕按键动力学从智能手机收集的被动数据用于评估和评价认知的不同方式。我们还讨论了文献中的空白,即利用被动数据的未来方向如何能够继续为认知提供推断,并阐述数字数据隐私和同意的重要性。