Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics
This research focuses on the study and qualitative assessment of the relationships between motivators and game mechanics per the ratings of expert gamification consultants. By taking this approach, it is intended that during the design phase of a gamified system, decisions can be made about the desi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/7/2556 |
| _version_ | 1827695872366870528 |
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| author | Eva Villegas David Fonseca Enric Peña Paula Bonet Sara Fernández-Guinea |
| author_facet | Eva Villegas David Fonseca Enric Peña Paula Bonet Sara Fernández-Guinea |
| author_sort | Eva Villegas |
| collection | DOAJ |
| description | This research focuses on the study and qualitative assessment of the relationships between motivators and game mechanics per the ratings of expert gamification consultants. By taking this approach, it is intended that during the design phase of a gamified system, decisions can be made about the design of the system based on the motivators of each of the profiles. These motivators can be determined from the information provided by the potential players themselves. The research presented starts from a previous analysis in which, based on the three most used gamification frameworks and through a card sorting technique that allows the user to organize and classify the content, a set of mechanics are determined. In the present study, each of the mechanics is analyzed, and a more precise motive is decided. As a result, a higher level of personalization is achieved and, consequently, approximates a higher level of gamification effectiveness. The main conclusions are implemented in the development of the Game4City 3.0 project, which addresses gamified and interactive strategies to visualize urban environments in 3D at an educational and social level. |
| first_indexed | 2024-03-10T12:35:08Z |
| format | Article |
| id | doaj.art-b7f4a5e5c0444ad49e8e066e49cfc330 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:35:08Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b7f4a5e5c0444ad49e8e066e49cfc3302023-11-21T14:21:23ZengMDPI AGSensors1424-82202021-04-01217255610.3390/s21072556Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game MechanicsEva Villegas0David Fonseca1Enric Peña2Paula Bonet3Sara Fernández-Guinea4Group of Research on Technology Enhanced Learning (GRETEL), Universitat Ramon Llull, La Salle, 08022 Barcelona, SpainGroup of Research on Technology Enhanced Learning (GRETEL), Universitat Ramon Llull, La Salle, 08022 Barcelona, SpainGroup of Research on Technology Enhanced Learning (GRETEL), Universitat Ramon Llull, La Salle, 08022 Barcelona, SpainCommunities and Children Faculty, University of St. Mark and St. John, Plymouth PL6 8BH, UKFacultad de Psicología, Universidad Complutense de Madrid, 28223 Madrid, SpainThis research focuses on the study and qualitative assessment of the relationships between motivators and game mechanics per the ratings of expert gamification consultants. By taking this approach, it is intended that during the design phase of a gamified system, decisions can be made about the design of the system based on the motivators of each of the profiles. These motivators can be determined from the information provided by the potential players themselves. The research presented starts from a previous analysis in which, based on the three most used gamification frameworks and through a card sorting technique that allows the user to organize and classify the content, a set of mechanics are determined. In the present study, each of the mechanics is analyzed, and a more precise motive is decided. As a result, a higher level of personalization is achieved and, consequently, approximates a higher level of gamification effectiveness. The main conclusions are implemented in the development of the Game4City 3.0 project, which addresses gamified and interactive strategies to visualize urban environments in 3D at an educational and social level.https://www.mdpi.com/1424-8220/21/7/2556effective gamificationengagementmotivationdesign strategymechanicsgaming experience |
| spellingShingle | Eva Villegas David Fonseca Enric Peña Paula Bonet Sara Fernández-Guinea Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics Sensors effective gamification engagement motivation design strategy mechanics gaming experience |
| title | Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics |
| title_full | Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics |
| title_fullStr | Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics |
| title_full_unstemmed | Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics |
| title_short | Qualitative Assessment of Effective Gamification Design Processes Using Motivators to Identify Game Mechanics |
| title_sort | qualitative assessment of effective gamification design processes using motivators to identify game mechanics |
| topic | effective gamification engagement motivation design strategy mechanics gaming experience |
| url | https://www.mdpi.com/1424-8220/21/7/2556 |
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