Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study

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 applic...

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Bibliographic Details
Published inIEEE International Fuzzy Systems conference proceedings pp. 1 - 6
Main Authors Goodman, Garrett, Banerjee, Tanvi, Romine, William, Shimizu, Cogan, Hughes, Jennifer
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2019
Subjects
Atmospheric measurements
Dementia
dementia caregiver
fuzzy inference system
Fuzzy logic
Games
gaming technology
machine learning
Stress
Stress measurement
Task analysis
task performance
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ISSN1558-4739
DOI10.1109/FUZZ-IEEE.2019.8858868

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Summary: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 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.
ISSN:1558-4739
DOI:10.1109/FUZZ-IEEE.2019.8858868