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Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task

BACKGROUND: In recent years, virtual reality (VR) has evolved from an alternative to a necessity in older adults for health, medical care, and social interaction. Upper limb (UL) motor skill, is an important ability in manipulating VR systems and represents the brain’s regulation of movements using...

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Autores principales: Dong, Ying, Liu, Xiaoyu, Tang, Min, Huo, Hongqiang, Chen, Duo, Du, Xin, Wang, Jinghui, Tang, Zhili, Qiao, Xiaofeng, Guo, Jieyi, Fan, Linyuan, Fan, Yubo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139832/
https://www.ncbi.nlm.nih.gov/pubmed/37106330
http://dx.doi.org/10.1186/s12877-023-03970-7
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author Dong, Ying
Liu, Xiaoyu
Tang, Min
Huo, Hongqiang
Chen, Duo
Du, Xin
Wang, Jinghui
Tang, Zhili
Qiao, Xiaofeng
Guo, Jieyi
Fan, Linyuan
Fan, Yubo
author_facet Dong, Ying
Liu, Xiaoyu
Tang, Min
Huo, Hongqiang
Chen, Duo
Du, Xin
Wang, Jinghui
Tang, Zhili
Qiao, Xiaofeng
Guo, Jieyi
Fan, Linyuan
Fan, Yubo
author_sort Dong, Ying
collection PubMed
description BACKGROUND: In recent years, virtual reality (VR) has evolved from an alternative to a necessity in older adults for health, medical care, and social interaction. Upper limb (UL) motor skill, is an important ability in manipulating VR systems and represents the brain’s regulation of movements using the UL muscles. In this study, we used a haptic-feedback Virtual Box and Block Test (VBBT) system and an Intrinsic Motivation Inventory (IMI) to examine age-related differences in UL motor performance and intrinsic motivation in VR use. The findings will be helpful for the development of VR applications for older adults. METHODS: In total, 48 young and 47 older volunteers participated in our study. The parameters including VBBT score, number of velocity peaks, velocity, grasping force and trajectory length were calculated to represent the task performance, manual dexterity, coordination, perceptive ability and cognitive ability in this study. RESULTS: Age-related differences could be found in all the parameters (all p <  0.05) in VR use. Regression analysis revealed that the task performance of young adults was predicted by the velocity and trajectory length (R(2) = 64.0%), while that of older adults was predicted by the number of velocity peaks (R(2) = 65.6%). Additionally, the scores of understandability, relaxation and tiredness were significantly different between the two groups (all p <  0.05). In older adults, the understandability score showed large correlation with the IMI score (|r| = 0.576, p <  0.001). In young adults, the correlation was medium (|r| = 0.342, p = 0.017). No significant correlation was found between the IMI score and VBBT score (|r| = 0.142, p = 0.342) in older adults, while a medium correlation (|r| = 0.342, p = 0.017) was found in young adults. CONCLUSIONS: The findings demonstrated that decreased smoothness in motor skills dominated the poor VR manipulation in older adults. The experience of understandability is important for older adults’ intrinsic motivation in VR use.
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spelling pubmed-101398322023-04-28 Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task Dong, Ying Liu, Xiaoyu Tang, Min Huo, Hongqiang Chen, Duo Du, Xin Wang, Jinghui Tang, Zhili Qiao, Xiaofeng Guo, Jieyi Fan, Linyuan Fan, Yubo BMC Geriatr Research BACKGROUND: In recent years, virtual reality (VR) has evolved from an alternative to a necessity in older adults for health, medical care, and social interaction. Upper limb (UL) motor skill, is an important ability in manipulating VR systems and represents the brain’s regulation of movements using the UL muscles. In this study, we used a haptic-feedback Virtual Box and Block Test (VBBT) system and an Intrinsic Motivation Inventory (IMI) to examine age-related differences in UL motor performance and intrinsic motivation in VR use. The findings will be helpful for the development of VR applications for older adults. METHODS: In total, 48 young and 47 older volunteers participated in our study. The parameters including VBBT score, number of velocity peaks, velocity, grasping force and trajectory length were calculated to represent the task performance, manual dexterity, coordination, perceptive ability and cognitive ability in this study. RESULTS: Age-related differences could be found in all the parameters (all p <  0.05) in VR use. Regression analysis revealed that the task performance of young adults was predicted by the velocity and trajectory length (R(2) = 64.0%), while that of older adults was predicted by the number of velocity peaks (R(2) = 65.6%). Additionally, the scores of understandability, relaxation and tiredness were significantly different between the two groups (all p <  0.05). In older adults, the understandability score showed large correlation with the IMI score (|r| = 0.576, p <  0.001). In young adults, the correlation was medium (|r| = 0.342, p = 0.017). No significant correlation was found between the IMI score and VBBT score (|r| = 0.142, p = 0.342) in older adults, while a medium correlation (|r| = 0.342, p = 0.017) was found in young adults. CONCLUSIONS: The findings demonstrated that decreased smoothness in motor skills dominated the poor VR manipulation in older adults. The experience of understandability is important for older adults’ intrinsic motivation in VR use. BioMed Central 2023-04-27 /pmc/articles/PMC10139832/ /pubmed/37106330 http://dx.doi.org/10.1186/s12877-023-03970-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dong, Ying
Liu, Xiaoyu
Tang, Min
Huo, Hongqiang
Chen, Duo
Du, Xin
Wang, Jinghui
Tang, Zhili
Qiao, Xiaofeng
Guo, Jieyi
Fan, Linyuan
Fan, Yubo
Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
title Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
title_full Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
title_fullStr Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
title_full_unstemmed Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
title_short Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
title_sort age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139832/
https://www.ncbi.nlm.nih.gov/pubmed/37106330
http://dx.doi.org/10.1186/s12877-023-03970-7
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