Cargando…

Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia

The purpose of this study was to determine what factors predict the level of engagement of older adults, with and without dementia, while playing computer games. Fourteen older adults with and without dementia (60%/40%) played a computer game over 16 sessions, each for 30 minutes. Variables included...

Descripción completa

Detalles Bibliográficos
Autores principales: Miguel-Cruz, Antonio, Quiroga-Torrez, Daniel Alejandro, Rios-Rincon, Adriana Maria, Daum, Christine, De Jesus, Ruby, Liu, Lili, Stroulia, Eleni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742933/
http://dx.doi.org/10.1093/geroni/igaa057.3180
_version_ 1783624102601293824
author Miguel-Cruz, Antonio
Quiroga-Torrez, Daniel Alejandro
Rios-Rincon, Adriana Maria
Daum, Christine
De Jesus, Ruby
Liu, Lili
Stroulia, Eleni
author_facet Miguel-Cruz, Antonio
Quiroga-Torrez, Daniel Alejandro
Rios-Rincon, Adriana Maria
Daum, Christine
De Jesus, Ruby
Liu, Lili
Stroulia, Eleni
author_sort Miguel-Cruz, Antonio
collection PubMed
description The purpose of this study was to determine what factors predict the level of engagement of older adults, with and without dementia, while playing computer games. Fourteen older adults with and without dementia (60%/40%) played a computer game over 16 sessions, each for 30 minutes. Variables included participants’ demographics, game-play data and environmental factors. Mixed fixed model for longitudinal data analysis design was used to determine how these variables predicted engagement. Five variables predicted engagement at a statistically significant level: Participant’s performance (B1=+0.16, p<0.03), age (B2=+0.20, p<0.00), previous experience with computer games (B3=+1.021, p<0.02), positive emotions (B4=+0.16, p<0.00), and distractions (noise) during gameplay (B5=-1.07, p<0.05). Cognitive impairment and general health status were correlated with engagement, but these correlations were not statistically significant. Previous experience using computer games and distractions during gameplay were the most important predictors of engagement while older adults with and without dementia played computer games.
format Online
Article
Text
id pubmed-7742933
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-77429332020-12-21 Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia Miguel-Cruz, Antonio Quiroga-Torrez, Daniel Alejandro Rios-Rincon, Adriana Maria Daum, Christine De Jesus, Ruby Liu, Lili Stroulia, Eleni Innov Aging Abstracts The purpose of this study was to determine what factors predict the level of engagement of older adults, with and without dementia, while playing computer games. Fourteen older adults with and without dementia (60%/40%) played a computer game over 16 sessions, each for 30 minutes. Variables included participants’ demographics, game-play data and environmental factors. Mixed fixed model for longitudinal data analysis design was used to determine how these variables predicted engagement. Five variables predicted engagement at a statistically significant level: Participant’s performance (B1=+0.16, p<0.03), age (B2=+0.20, p<0.00), previous experience with computer games (B3=+1.021, p<0.02), positive emotions (B4=+0.16, p<0.00), and distractions (noise) during gameplay (B5=-1.07, p<0.05). Cognitive impairment and general health status were correlated with engagement, but these correlations were not statistically significant. Previous experience using computer games and distractions during gameplay were the most important predictors of engagement while older adults with and without dementia played computer games. Oxford University Press 2020-12-16 /pmc/articles/PMC7742933/ http://dx.doi.org/10.1093/geroni/igaa057.3180 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Miguel-Cruz, Antonio
Quiroga-Torrez, Daniel Alejandro
Rios-Rincon, Adriana Maria
Daum, Christine
De Jesus, Ruby
Liu, Lili
Stroulia, Eleni
Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia
title Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia
title_full Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia
title_fullStr Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia
title_full_unstemmed Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia
title_short Predicting Engagement While Playing Computer Games in Older Adults With and Without Dementia
title_sort predicting engagement while playing computer games in older adults with and without dementia
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742933/
http://dx.doi.org/10.1093/geroni/igaa057.3180
work_keys_str_mv AT miguelcruzantonio predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia
AT quirogatorrezdanielalejandro predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia
AT riosrinconadrianamaria predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia
AT daumchristine predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia
AT dejesusruby predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia
AT liulili predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia
AT strouliaeleni predictingengagementwhileplayingcomputergamesinolderadultswithandwithoutdementia