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Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool
Clover Maitland,
Joanna Granich,
Rebecca Braham,
Ashleigh Thornton,
Renee Teal,
Gareth Stratton
,
Michael Rosenberg
Computers in Human Behavior, Volume: 87, Pages: 308 - 316
Swansea University Author:
Gareth Stratton
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DOI (Published version): 10.1016/j.chb.2018.05.036
Abstract
Active Video Games (AVGs) have been designed and promoted for family centred leisure in the home. However, few studies have investigated their capacity to facilitate psychosocial outcomes. This study aimed to establish a reliable system to rate the potential of AVGs to facilitate social interaction...
Published in: | Computers in Human Behavior |
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ISSN: | 0747-5632 |
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2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa40505 |
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2018-08-07T10:03:21.9578381 v2 40505 2018-05-29 Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 2018-05-29 STSC Active Video Games (AVGs) have been designed and promoted for family centred leisure in the home. However, few studies have investigated their capacity to facilitate psychosocial outcomes. This study aimed to establish a reliable system to rate the potential of AVGs to facilitate social interaction among players. A conceptual framework was developed to establish the core elements of the Social Interaction Potential Assessment Tool (SIPA). Four raters implemented the SIPA across five AVGs. ANOVAs were conducted to establish the ability of the SIPA to differentiate between AVGs and inter- and intra-rater reliability was tested. The overall SIPA could differentiate between AVGs social features. A significant difference was found for Social Facilitators and Pro-social Features, but not for Anti-social Features (p < 0.05). The overall SIPA exhibited excellent inter-rater (ICC = 0.92) and intra-rater (ICCs = 0.95 - 0.99) reliability. This study identified the core elements of AVGs that enable social interaction. The SIPA tool can assess AVGs’ potential to facilitate social interaction among players. Subsequently, the SIPA rating can provide consumers with valuable information on which to base AVG purchasing decisions. Journal Article Computers in Human Behavior 87 308 316 0747-5632 children; social interaction; electronic games; physical activity; measurement 31 12 2018 2018-12-31 10.1016/j.chb.2018.05.036 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2018-08-07T10:03:21.9578381 2018-05-29T15:00:07.1896337 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Clover Maitland 1 Joanna Granich 2 Rebecca Braham 3 Ashleigh Thornton 4 Renee Teal 5 Gareth Stratton 0000-0001-5618-0803 6 Michael Rosenberg 7 0040505-29052018150218.pdf maitland2018.pdf 2018-05-29T15:02:18.1700000 Output 869365 application/pdf Accepted Manuscript true 2019-05-28T00:00:00.0000000 true eng |
title |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool |
spellingShingle |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool Gareth Stratton |
title_short |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool |
title_full |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool |
title_fullStr |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool |
title_full_unstemmed |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool |
title_sort |
Measuring the capacity of active video games for social interaction: The Social Interaction Potential Assessment tool |
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6d62b2ed126961bed81a94a2beba8a01 |
author_id_fullname_str_mv |
6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton |
author |
Gareth Stratton |
author2 |
Clover Maitland Joanna Granich Rebecca Braham Ashleigh Thornton Renee Teal Gareth Stratton Michael Rosenberg |
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Journal article |
container_title |
Computers in Human Behavior |
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87 |
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308 |
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2018 |
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Swansea University |
issn |
0747-5632 |
doi_str_mv |
10.1016/j.chb.2018.05.036 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences |
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description |
Active Video Games (AVGs) have been designed and promoted for family centred leisure in the home. However, few studies have investigated their capacity to facilitate psychosocial outcomes. This study aimed to establish a reliable system to rate the potential of AVGs to facilitate social interaction among players. A conceptual framework was developed to establish the core elements of the Social Interaction Potential Assessment Tool (SIPA). Four raters implemented the SIPA across five AVGs. ANOVAs were conducted to establish the ability of the SIPA to differentiate between AVGs and inter- and intra-rater reliability was tested. The overall SIPA could differentiate between AVGs social features. A significant difference was found for Social Facilitators and Pro-social Features, but not for Anti-social Features (p < 0.05). The overall SIPA exhibited excellent inter-rater (ICC = 0.92) and intra-rater (ICCs = 0.95 - 0.99) reliability. This study identified the core elements of AVGs that enable social interaction. The SIPA tool can assess AVGs’ potential to facilitate social interaction among players. Subsequently, the SIPA rating can provide consumers with valuable information on which to base AVG purchasing decisions. |
published_date |
2018-12-31T03:51:33Z |
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1763752535048323072 |
score |
11.021648 |