Game preferences and personality of older adult users

A.F.A. de Vette; M. Tabak; M.M.R. Vollenbroek-Hutten; H.J. Hermens

doi:10.13140/RG.2.1.3671.8804

Abstract

To improve engagement needed for long-term adherence to telemedicine services for elderly users, we need methods to design effective and tailored gamification. This study explores the relation between personality (based on the Five Factor Model) and game preference (based on the Five Domains of Play theory) to enable creation of such a method, by means of a user classification targeting the older adult user. From preliminary results, in a study with 12 participants aged 65-75 years, we observe no significant correlations between personality and game preference. The participants have a strong preference for a game containing novel content. This study provides us with information on the older adult to create a method for developing tailored gamified content based on game preferences.

Original language	English
Number of pages	5
DOIs	https://doi.org/10.13140/RG.2.1.3671.8804
Publication status	Published - 4 Oct 2015
Event	Workshop Ageing Playfully 2015: Advancing Research on Games for Older Adults Beyond Accessibility and Health Benefits - London, United Kingdom Duration: 4 Oct 2015 → 4 Oct 2015

Conference

Conference	Workshop Ageing Playfully 2015
Country/Territory	United Kingdom
City	London
Period	4/10/15 → 4/10/15

Keywords

Game preference
Gamification: older adult
Personality
Elderly
Classification
Telemedicine

Access to Document

10.13140/RG.2.1.3671.8804

DeVette2015gameFinal published version, 147 KB

Cite this

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title = "Game preferences and personality of older adult users",

abstract = "To improve engagement needed for long-term adherence to telemedicine services for elderly users, we need methods to design effective and tailored gamification. This study explores the relation between personality (based on the Five Factor Model) and game preference (based on the Five Domains of Play theory) to enable creation of such a method, by means of a user classification targeting the older adult user. From preliminary results, in a study with 12 participants aged 65-75 years, we observe no significant correlations between personality and game preference. The participants have a strong preference for a game containing novel content. This study provides us with information on the older adult to create a method for developing tailored gamified content based on game preferences.",

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AU - de Vette, A.F.A.

AU - Tabak, M.

AU - Vollenbroek-Hutten, M.M.R.

AU - Hermens, H.J.

PY - 2015/10/4

Y1 - 2015/10/4

N2 - To improve engagement needed for long-term adherence to telemedicine services for elderly users, we need methods to design effective and tailored gamification. This study explores the relation between personality (based on the Five Factor Model) and game preference (based on the Five Domains of Play theory) to enable creation of such a method, by means of a user classification targeting the older adult user. From preliminary results, in a study with 12 participants aged 65-75 years, we observe no significant correlations between personality and game preference. The participants have a strong preference for a game containing novel content. This study provides us with information on the older adult to create a method for developing tailored gamified content based on game preferences.

AB - To improve engagement needed for long-term adherence to telemedicine services for elderly users, we need methods to design effective and tailored gamification. This study explores the relation between personality (based on the Five Factor Model) and game preference (based on the Five Domains of Play theory) to enable creation of such a method, by means of a user classification targeting the older adult user. From preliminary results, in a study with 12 participants aged 65-75 years, we observe no significant correlations between personality and game preference. The participants have a strong preference for a game containing novel content. This study provides us with information on the older adult to create a method for developing tailored gamified content based on game preferences.

KW - Game preference

KW - Gamification: older adult

KW - Personality

KW - Elderly

KW - Classification

KW - Telemedicine

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DO - 10.13140/RG.2.1.3671.8804

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