Accepted for/Published in: JMIR Neurotechnology
Date Submitted: May 28, 2025
Date Accepted: Nov 11, 2025
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Development and Feasibility study of WearCAAT the Mobile Application-based Pocket-Lab for Neuroimaging Research
ABSTRACT
We present the Wearable Cognitive Assessment and Augmentation Toolkit (WearCAAT), a cross-platform mobile application to conduct functional neuroimaging research with modern mobile devices. The need to observe human cognition in more natural environments, i.e., outside of sterile Laboratory Settings, is critical to understanding human cognition and behavior. Smartphones offer a unique perspective, their ubiquity and computational power make them excellent candidates for “Pocket Labs,” Laboratories that fit in a pocket and can travel with their subjects. However, mobile app development is inherently difficult; the mobile-device ecosystem is massive, and growing, and requires deep technical knowledge and considerable time investments, which bar non-technical researchers from participating. WearCAAT offers a robust yet flexible platform for neuroimaging which implements mobile versions of well-known cognitive tasks, with a seamless integration of existing setups and third-party neuroimaging sensors, via Lab-Streaming Layer a well-vetted software suite for sensor synchronization and data collection. We designed WearCAAT to bypass the deep technical knowledge requirements and time-investment of mobile app development and offer a Bring Your Own Device (BYOD) platform for non-technical users whose domain expertise in cognitive neuroscience is most valuable. To our knowledge, WearCAAT is the first attempt at a general-purpose neuro-imaging laboratory designed for mobile devices and represents a major step toward a “Pocketable Lab” for cognitive neuroscience research.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.