Usability and feasibility of a cognitive support application for individuals with Parkinson's disease and mild cognitive impairment.

This study evaluated the usability and feasibility of a high-tech assistive cognitive support application, IndiAide©, for individuals with mild cognitive impairment from Parkinson's disease (PD-MCI). The impact of technological familiarity on navigation efficiency and usability was determined while identifying user design preferences to optimize functionality for neurodegenerative populations. A mixed-methods approach was employed with fifteen participants, including neurotypical adults and individuals diagnosed with PD-MCI. Participants performed structured tasks within the application to generate quantitative metrics on task accuracy and completion time. These data were supplemented by qualitative insights gathered through semi-structured discussions to assess user experience and perceived barriers. Quantitative analysis indicated that technological familiarity, rather than cognitive status, was the primary determinant of navigation performance across both groups. This suggests that baseline digital literacy may mitigate functional deficits typically associated with cognitive impairment. Participants with PD-MCI reported high levels of satisfaction and emphasized the platform's potential therapeutic value for maintaining independence. High-tech assistive tools represent a viable cognitive support strategy for the PD-MCI population. Findings suggest that usability is mediated by prior technology exposure. Future advancements should prioritize personalized, adaptable interventions that address the diverse needs of individuals with neurodegenerative diseases and their care networks.