Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study
| Autor: | Garrett Goodman, Jennifer C. Hughes, Cogan Shimizu, William L. Romine, Tanvi Banerjee |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
030214 geriatrics
SIMPLE (military communications protocol) Computer science 05 social sciences 050301 education Fuzzy logic Task (project management) 03 medical and health sciences Core (game theory) 0302 clinical medicine Human–computer interaction Genetic algorithm Task analysis 0503 education Word (computer architecture) |
| Zdroj: | FUZZ-IEEE |
| DOI: | 10.1109/fuzz-ieee.2019.8858868 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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