Name
Abstract | ||
|---|---|---|
Personalized games should provide a better player experience than one-size-fits-all games. As a method for personalization, player type models have been discussed recently. Player type models would be useful tools in the personalization of games, if they have a relationship to the players' experience of specific game mechanics. However, this relationship has never been empirically investigated. To close this gap, we examine whether player types-as a specific appearance of personality traits-can significantly and reliably predict player experience. We investigate the predictive power of two player types (Mastermind, Seeker) of the BrainHex player type model. Results of a field study (n = 51) with a mobile game prototype tailored to the two player types Mastermind and Seeker suggest that player type models still need improvement: Player type scores do not significantly predict player experience of according game mechanics. We discuss possible explanations and a way to design personalized games that adapt to users gaming preferences with player type models. |
Year | Venue | Keywords |
|---|---|---|
2016 | INTERACTION DESIGN AND ARCHITECTURES | Player Types, Player Type Models, Personalization, Games |
DocType | Volume | Issue |
Journal | 28 | 28 |
ISSN | Citations | PageRank |
1826-9745 | 4 | 0.50 |
References | Authors | |
11 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Busch | 1 | 107 | 10.67 |
| Elke E. Mattheiss | 2 | 74 | 8.31 |
| Wolfgang Hochleitner | 3 | 24 | 2.30 |
| Christina Hochleitner | 4 | 29 | 5.53 |
| Michael Lankes | 5 | 120 | 17.19 |
| Peter Fröhlich | 6 | 29 | 7.28 |
| Rita O. Orju | 7 | 326 | 56.87 |
| Manfred Tscheligi | 8 | 2567 | 570.72 |