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Gamification
Datascience
#Definitions
#datascience:
is a Field of Big Data geared toward providing meaningful information bases
on large amounts of complex data. Data secience combines statistics,
computation in order to interpret data for purpuse of desicion making.
#gamification:
Is the application of typical elements of game playing including point
scoring, competition with others, rules of play. In areas of science, research
and marketing.
Game Application
Components
• Mechanics : building blocks of game, leaderboards and objectives
• Measurements: metrics to cuantify user progress
• Behaviour: the behaviour the game is attempting to promote
• Reward: compensation given to a user for participating
Crowdsourcing is the practice of getting ideas or help on a project from a large number of people, usually
through the internet.
We used crowdsourcing to develop the software
Crowdsourcing Sensor Entidy Definitions
Game_backbone: bridge between sensors and the physical actions (requierements, context information and gaming parameters
Physical_Context: virtual representation of the ühysically installed sensores, where the users interact with devices.The requierements of
a game and the sensores are not tied of a location
Measurement_Context: The context of the sensor measurements, information of the categories and types
Sensor_Context: This entity represents the parameters requieres to translate the sensor data into the data reading entity, enablyng the
sensor interface to a map spatial temporal data obtained from the sensor to the data reading entity used by the framework
Sensor_Type: Represents the actual sensor type that is requiered by a game
Sensor: This represents the actual sensor devise that is gathering data
Sensor_Group: represents a group of sensors measuring the same objects withhin the same physical context
Gamification Framework Architecture
Crowdsourcing Sensor Entity Diagram
Gamification Object Relationships
Implementation of the Gamification Framework
Gamification Elements
Action Sourcing Sequence
Diagram
Preprocessing Change Detecction Trigger
Event Detecction Trigger
Event Insertion Trigger
Event Labelling
Example of Gamification: Foltit
https://fold.it/portal/info/about
This serious Game has
been developed to research
solutions against big
deseases.
https://fold.it/portal/info/ab
out
CREDITS
• A. Tiwari, A. Haji, A. L’Heureux, W. Hunt, and M.
Capretz, R. Mann, “Biometrics in the Mental Health
Community” International Conference for Upcoming
Engineers, 2012.
• K. Grolinger, M. Hayes, W.A. Higashino, A.
L’Heureux, D.S. Allison, M. Capretz, “Challenges for
MapReduce in Big Data” Proceedings of the IEEE
10th 2014 World Congress on Services (SERVICES
2014), 20
Foldit:
https://fold.it/portal/info/ab
out
LinkIn: Maria Dolores Emde
Morenoandco.net

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Datascience and Gamification

  • 2. #Definitions #datascience: is a Field of Big Data geared toward providing meaningful information bases on large amounts of complex data. Data secience combines statistics, computation in order to interpret data for purpuse of desicion making. #gamification: Is the application of typical elements of game playing including point scoring, competition with others, rules of play. In areas of science, research and marketing.
  • 3. Game Application Components • Mechanics : building blocks of game, leaderboards and objectives • Measurements: metrics to cuantify user progress • Behaviour: the behaviour the game is attempting to promote • Reward: compensation given to a user for participating Crowdsourcing is the practice of getting ideas or help on a project from a large number of people, usually through the internet. We used crowdsourcing to develop the software Crowdsourcing Sensor Entidy Definitions Game_backbone: bridge between sensors and the physical actions (requierements, context information and gaming parameters Physical_Context: virtual representation of the ühysically installed sensores, where the users interact with devices.The requierements of a game and the sensores are not tied of a location Measurement_Context: The context of the sensor measurements, information of the categories and types Sensor_Context: This entity represents the parameters requieres to translate the sensor data into the data reading entity, enablyng the sensor interface to a map spatial temporal data obtained from the sensor to the data reading entity used by the framework Sensor_Type: Represents the actual sensor type that is requiered by a game Sensor: This represents the actual sensor devise that is gathering data Sensor_Group: represents a group of sensors measuring the same objects withhin the same physical context
  • 5. Gamification Object Relationships Implementation of the Gamification Framework
  • 11. Example of Gamification: Foltit https://fold.it/portal/info/about This serious Game has been developed to research solutions against big deseases. https://fold.it/portal/info/ab out
  • 12. CREDITS • A. Tiwari, A. Haji, A. L’Heureux, W. Hunt, and M. Capretz, R. Mann, “Biometrics in the Mental Health Community” International Conference for Upcoming Engineers, 2012. • K. Grolinger, M. Hayes, W.A. Higashino, A. L’Heureux, D.S. Allison, M. Capretz, “Challenges for MapReduce in Big Data” Proceedings of the IEEE 10th 2014 World Congress on Services (SERVICES 2014), 20 Foldit: https://fold.it/portal/info/ab out LinkIn: Maria Dolores Emde Morenoandco.net

Editor's Notes

  1. http://www.1001freedownloads.com/free-vectors/ https://www.pexels.com/photo/city-people-street-sun-2288/ https://www.pexels.com/photo/working-typing-macbook-computer-7350/ https://images.unsplash.com/photo-1414788020357-3690cfdab669