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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742933/ http://dx.doi.org/10.1093/geroni/igaa057.3180 |
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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 |
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