An instrument to build a gamer clustering framework according to gaming preferences and habits.

In the era of digital gaming, there is a pressing need to better understand how people's gaming preferences and habits affect behavior and can inform educational game design. However, instruments available for such endeavor are rather informal and limited, lack proper evaluation, and often yiel...

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Detalles Bibliográficos
Autores: Torrente, Javier, Manero Iglesias, José Borja, Freire Morán, Manuel, Fernández Manjón, Baltasar
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/102672
Acceso en línea:https://hdl.handle.net/20.500.14352/102672
Access Level:acceso abierto
Palabra clave:Educational games
Classification of gamers
Gaming preferences and habits
Instruments for serious games
Applied games
Informática (Informática)
3304 Tecnología de Los Ordenadores
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oai_identifier_str oai:docta.ucm.es:20.500.14352/102672
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repository_id_str
spelling An instrument to build a gamer clustering framework according to gaming preferences and habits.Torrente, JavierManero Iglesias, José BorjaFreire Morán, ManuelFernández Manjón, BaltasarEducational gamesClassification of gamersGaming preferences and habitsInstruments for serious gamesApplied gamesInformática (Informática)3304 Tecnología de Los OrdenadoresIn the era of digital gaming, there is a pressing need to better understand how people's gaming preferences and habits affect behavior and can inform educational game design. However, instruments available for such endeavor are rather informal and limited, lack proper evaluation, and often yield results that are hard to interpret. In this paper we present the design and preliminary validation (involving N ¼ 754 Spanish secondary school students) of a simple instrument that, based on a 10-item Game Preferences Questionnaire (GPQ), classifies participants into four ‘clusters’ or types of gamers, allowing for easy interpretation of the results. These clusters are: (1) Full gamers, covering individuals that play all kinds of games with a high frequency; (2) Hardcore gamers, playing mostly first-person shooters and sport games; (3) Casual gamers, playing moderately musical, social and thinking games; and (4) Nongamers, who do not usually play games of any kind. The instrument may have uses in psychology and behavioral sciences, as there is evidence suggesting that attitudes towards gaming affects personal attitudes and behavior. Besides, we propose applying the instrument to help designers of educational games to get better tailored their games to their target audiences.Universidad Complutense de Madrid20162016-01-1520162016-01-15journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/102672reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-096401-A-I00 COMUNICACION EFECTIVA PARA PROFESORADO DE SECUNDARIA MEDIANTE REALIDAD VIRTUALopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1026722026-06-02T12:44:21Z
dc.title.none.fl_str_mv An instrument to build a gamer clustering framework according to gaming preferences and habits.
title An instrument to build a gamer clustering framework according to gaming preferences and habits.
spellingShingle An instrument to build a gamer clustering framework according to gaming preferences and habits.
Torrente, Javier
Educational games
Classification of gamers
Gaming preferences and habits
Instruments for serious games
Applied games
Informática (Informática)
3304 Tecnología de Los Ordenadores
title_short An instrument to build a gamer clustering framework according to gaming preferences and habits.
title_full An instrument to build a gamer clustering framework according to gaming preferences and habits.
title_fullStr An instrument to build a gamer clustering framework according to gaming preferences and habits.
title_full_unstemmed An instrument to build a gamer clustering framework according to gaming preferences and habits.
title_sort An instrument to build a gamer clustering framework according to gaming preferences and habits.
dc.creator.none.fl_str_mv Torrente, Javier
Manero Iglesias, José Borja
Freire Morán, Manuel
Fernández Manjón, Baltasar
author Torrente, Javier
author_facet Torrente, Javier
Manero Iglesias, José Borja
Freire Morán, Manuel
Fernández Manjón, Baltasar
author_role author
author2 Manero Iglesias, José Borja
Freire Morán, Manuel
Fernández Manjón, Baltasar
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Educational games
Classification of gamers
Gaming preferences and habits
Instruments for serious games
Applied games
Informática (Informática)
3304 Tecnología de Los Ordenadores
topic Educational games
Classification of gamers
Gaming preferences and habits
Instruments for serious games
Applied games
Informática (Informática)
3304 Tecnología de Los Ordenadores
description In the era of digital gaming, there is a pressing need to better understand how people's gaming preferences and habits affect behavior and can inform educational game design. However, instruments available for such endeavor are rather informal and limited, lack proper evaluation, and often yield results that are hard to interpret. In this paper we present the design and preliminary validation (involving N ¼ 754 Spanish secondary school students) of a simple instrument that, based on a 10-item Game Preferences Questionnaire (GPQ), classifies participants into four ‘clusters’ or types of gamers, allowing for easy interpretation of the results. These clusters are: (1) Full gamers, covering individuals that play all kinds of games with a high frequency; (2) Hardcore gamers, playing mostly first-person shooters and sport games; (3) Casual gamers, playing moderately musical, social and thinking games; and (4) Nongamers, who do not usually play games of any kind. The instrument may have uses in psychology and behavioral sciences, as there is evidence suggesting that attitudes towards gaming affects personal attitudes and behavior. Besides, we propose applying the instrument to help designers of educational games to get better tailored their games to their target audiences.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-15
2016
2016-01-15
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/102672
url https://hdl.handle.net/20.500.14352/102672
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-096401-A-I00 COMUNICACION EFECTIVA PARA PROFESORADO DE SECUNDARIA MEDIANTE REALIDAD VIRTUAL
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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