دورية أكاديمية

Interpreting Data of Serious Games for Health using Decision Support Systems

التفاصيل البيبلوغرافية
العنوان: Interpreting Data of Serious Games for Health using Decision Support Systems
المؤلفون: Konrad Peters, Fares Kayali, Marisa Silbernagl, Anita Lawitschka, Helmut Hlavacs
المصدر: International Journal of Serious Games, Vol 4, Iss 2 (2017)
بيانات النشر: Serious Games Society, 2017.
سنة النشر: 2017
المجموعة: LCC:Education
LCC:Electronic computers. Computer science
LCC:Computer software
مصطلحات موضوعية: Serious Games for Health, Standardization, Data Modeling, Decision Support Systems, Education, Electronic computers. Computer science, QA75.5-76.95, Computer software, QA76.75-76.765
الوصف: In order to empower the influence and usage of Serious Games for Health (SGFH) in science as well as application, a decision-support-system (DSS) based approach for interpreting game data should be developed. This DSS would allow users (patients, physicians) to interpret medical data, gathered by various serious games, as well as the game-scores of these games. The usage of DSSs implies the requirement for a standardized data model, for both medical data as well as game-proprietary data, such as meta-data or game-scores. This publication presents a framework proposal, which covers the requirements to interpret data of various health- and game-sources and create recommendations to users. Authors identified challenges and experiments to be done: to provide a ubiquitous data model for SGFH, a set of existing games will be analysed and evaluated. Further, a SDK for game developers will be created. This would enable the developers to gain access to the DSS based approach with reasonable effort. Finally, a DSS, consisting of two sub-DSS, should be implemented on top of the previous results.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2384-8766
Relation: http://journal.seriousgamessociety.org/index.php/IJSG/article/view/162; https://doaj.org/toc/2384-8766
DOI: 10.17083/ijsg.v4i2.162
URL الوصول: https://doaj.org/article/f366c2b2e08643dfa762d6adc6be8f7d
رقم الأكسشن: edsdoj.f366c2b2e08643dfa762d6adc6be8f7d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23848766
DOI:10.17083/ijsg.v4i2.162