Characterizing Performance on a Suite of English-Language NeuroUX Mobile Cognitive Tests in a US Adult Sample:...

Area of Science:

• Cognitive Neuroscience
• Digital Health
• Psychometrics

Background:

• Mobile cognitive testing offers advantages over traditional methods but lacks data from general adult populations.
• Understanding performance characteristics in real-world settings is crucial for mobile cognitive assessment validity.

Purpose of the Study:

• To characterize the performance of 8 mobile cognitive tests from the NeuroUX platform in a diverse sample of US adults.
• To examine reliability, practice effects, and demographic and contextual influences on mobile cognitive test performance.

Main Methods:

• 393 US adults (20-79 years) completed 8 NeuroUX cognitive tests 5 times over 10 days on smartphones.
• Data analyzed for test-retest reliability, practice effects, and associations with demographics and context (e.g., location, company).
• Usability and privacy feedback collected via post-study surveys.

Main Results:

• 9 of 12 scores demonstrated good to excellent test-retest reliability.
• Practice effects were noted in 33% of scores; older age correlated with poorer performance and higher variability.
• Performance varied by smartphone type (iOS vs. Android versions) and testing context (home vs. away, alone vs. accompanied).

Conclusions:

• Mobile cognitive testing demonstrates good reliability and usability across a wide adult age range.
• Factors like age, device, and environment significantly influence mobile cognitive test results, requiring careful consideration for interpretation.
• These findings support the use of mobile cognitive testing for clinical decision-making and research, enhancing personalized interventions.