Interpreting Data of Serious Games for Health using Decision Support Systems
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 va...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Serious Games Society
2017-06-01
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| Series: | International Journal of Serious Games |
| Subjects: | |
| Online Access: | http://journal.seriousgamessociety.org/index.php/IJSG/article/view/162 |
| _version_ | 1831678576778280960 |
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| author | Konrad Peters Fares Kayali Marisa Silbernagl Anita Lawitschka Helmut Hlavacs |
| author_facet | Konrad Peters Fares Kayali Marisa Silbernagl Anita Lawitschka Helmut Hlavacs |
| author_sort | Konrad Peters |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T05:01:42Z |
| format | Article |
| id | doaj.art-f366c2b2e08643dfa762d6adc6be8f7d |
| institution | Directory Open Access Journal |
| issn | 2384-8766 |
| language | English |
| last_indexed | 2024-12-20T05:01:42Z |
| publishDate | 2017-06-01 |
| publisher | Serious Games Society |
| record_format | Article |
| series | International Journal of Serious Games |
| spelling | doaj.art-f366c2b2e08643dfa762d6adc6be8f7d2022-12-21T19:52:32ZengSerious Games SocietyInternational Journal of Serious Games2384-87662017-06-014210.17083/ijsg.v4i2.16292Interpreting Data of Serious Games for Health using Decision Support SystemsKonrad PetersFares Kayali0Marisa Silbernagl1Anita Lawitschka2Helmut Hlavacs3Technical University ViennaMedical University of ViennaSt. Anna Children’s Hospital ViennaUniversity of Vienna, Faculty of InformaticsIn 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.http://journal.seriousgamessociety.org/index.php/IJSG/article/view/162Serious Games for HealthStandardizationData ModelingDecision Support Systems |
| spellingShingle | Konrad Peters Fares Kayali Marisa Silbernagl Anita Lawitschka Helmut Hlavacs Interpreting Data of Serious Games for Health using Decision Support Systems International Journal of Serious Games Serious Games for Health Standardization Data Modeling Decision Support Systems |
| title | Interpreting Data of Serious Games for Health using Decision Support Systems |
| title_full | Interpreting Data of Serious Games for Health using Decision Support Systems |
| title_fullStr | Interpreting Data of Serious Games for Health using Decision Support Systems |
| title_full_unstemmed | Interpreting Data of Serious Games for Health using Decision Support Systems |
| title_short | Interpreting Data of Serious Games for Health using Decision Support Systems |
| title_sort | interpreting data of serious games for health using decision support systems |
| topic | Serious Games for Health Standardization Data Modeling Decision Support Systems |
| url | http://journal.seriousgamessociety.org/index.php/IJSG/article/view/162 |
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