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Conference object . 2016
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https://doi.org/10.1109/vs-gam...
Article . 2016 . Peer-reviewed
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A Game Design Method for Therapeutic Games

Authors: Mader, Stéphanie; Levieux, Guillaume; Natkin, Stéphane;

A Game Design Method for Therapeutic Games

Abstract

One of the most problematic issues in healthcare is the patient's lack of adherence to the therapy. Patients' motivation is indeed hard to maintain when they have to execute repetitive, boring or tedious exercises. In such cases, they tend to practice less regularly and even to entirely give up the therapeutic protocol. Fortunately, therapeutic exercises can very often be turned into compelling games. Such \textit{therapeutic games} are considered as a very promising solution to the patient adherence problem. Yet, therapeutic games are very complex to design : 1. the gameplay is particularly constrained, e.g. the game has to both motivate the patient and provide the therapeutic effects 2. the game must be evaluated on both its medical and motivational results, and 3. relevant health knowledge is hard to share between health experts and game designers. In this paper, we propose a game design method for therapeutic games that provides guidance for every step of the design, along with tools for every design challenges we identified.

Country
France
Keywords

[INFO] Computer Science [cs]

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green