A Review on Smartphone Keystroke Dynamics as a Digital Biomarker for Understanding Neurocognitive Functioning

Author:

Nguyen Theresa M.12,Leow Alex D.123,Ajilore Olusola1ORCID

Affiliation:

1. Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA

2. Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA

3. Department of Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA

Abstract

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.

Funder

National Institute of Mental Health of the National Institutes of Health

Publisher

MDPI AG

Subject

General Neuroscience

Reference106 articles.

1. Pew Research Center (2021). Mobile Fact Sheet, Pew Research Center.

2. Ecological Momentary Assessment;Shiffman;Annu. Rev. Clin. Psychol.,2008

3. Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis;Ravi;J. Med. Internet Res.,2020

4. Sensors in Mobile Devices Knowledge Base;Khokhlov;IEEE Sens. Lett.,2020

5. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use;Parry;Nat. Hum. Behav.,2021

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