Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach

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 inarXiv.org
Main Authors Goodman, Garrett, Banerjee, Tanvi, Romine, William, Cogan Shimizu, Hughes, Jennifer
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 15.03.2019
Subjects
Applications programs
Caregivers
Computer Science - Human-Computer Interaction
Dementia
Fuzzy systems
Genetic algorithms
Interdisciplinary studies
Mobile computing
Patients
Technology assessment
Technology utilization
Online AccessGet full text
ISSN2331-8422
DOI10.48550/arxiv.1802.03051

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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 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.
Bibliography:SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
content type line 50
ISSN:2331-8422
DOI:10.48550/arxiv.1802.03051