  As pre-diagnostic technologies are becoming increasingly accessible, using
them to improve the quality of care available to dementia patients and their
caregivers is of increasing interest. Specifically, we aim to develop a tool
for non-invasively assessing task performance in a simple gaming application.
To address this, we have developed Caregiver Assessment using Smart Gaming
Technology (CAST), a mobile application that personalizes a traditional word
scramble game. Its core functionality uses a Fuzzy Inference System (FIS)
optimized via a Genetic Algorithm (GA) to provide customized performance
measures for each user of the system. With CAST, we match the relative level of
difficulty of play using the individual's ability to solve the word scramble
tasks. We provide an analysis of the preliminary results for determining task
difficulty, with respect to our current participant cohort.
