Evaluation of Informative Content of Health Data Submitted Through a Mobile Serious Game
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 11863 LNCS, Page: 366-376
2019
- 3Citations
- 28Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
In the presented study, the informative content of health data of a handwritten health diary was compared with health data submitted through a serious game. Physicians are able to derive a better and more complete health status of patients with higher informative content in health reports. The serious game was implemented in the project Interacct, in which patients submit health data through a mobile app on a daily basis to receive in-game rewards. The main hypothesis is, that the informative content of health data, which was submitted through a serious game, is higher than the informative content of hand written health diaries. Statistical results confirm this hypothesis significantly. This is especially important for young and adolescent cancer patients, where the results were even more conclusive than in the control group of students. Considering positive side effects of the serious game (such as high engagement, compliance and pleasure reporting health data through a serious game), the proposition of the authors is to conduct further studies and experiments regarding this topic.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85077002109&origin=inward; http://dx.doi.org/10.1007/978-3-030-34644-7_30; https://link.springer.com/10.1007/978-3-030-34644-7_30; https://doi.org/10.1007%2F978-3-030-34644-7_30; https://dx.doi.org/10.1007/978-3-030-34644-7_30; https://link.springer.com/chapter/10.1007/978-3-030-34644-7_30
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know