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- Publisher Website: 10.1080/10447318.2024.2338664
- Scopus: eid_2-s2.0-85190960198
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Article: Player Types in Gamified Learning: Conceptualization, Validation, and Profiling
Title | Player Types in Gamified Learning: Conceptualization, Validation, and Profiling |
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Authors | |
Keywords | Gamification personalize player type profiling validate |
Issue Date | 15-Apr-2024 |
Publisher | Taylor and Francis Group |
Citation | International Journal of Human-Computer Interaction, 2024 How to Cite? |
Abstract | Personalized gamification is often considered a superior approach to a one-size-fits-all method. This study addresses three limitations of previous personalized gamification research: (1) conceptual overlap in previous player type models, (2) lack of empirically validated questionnaires, and (3) inadequate profiling methods that only consider the dominant player type. We conducted two interlocking studies. Study One focused on accurately conceptualizing and measuring player types. It synthesized key attributes from previous models and proposed a new model, along with a questionnaire that underwent rigorous development and validation. Study Two focused on comprehensive player type profiling. It employed a new method, cognitive diagnostic models, which produced finer-grained profiles enabling multiple player attributes. Key contributions include a new player type model with five main archetypes, a valid questionnaire for the proposed model, and a feasible method for player type profiling. These contributions advance our understanding of player types and facilitate future personalized gamification practices. |
Persistent Identifier | http://hdl.handle.net/10722/348053 |
ISSN | 2023 Impact Factor: 3.4 2023 SCImago Journal Rankings: 1.025 |
DC Field | Value | Language |
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dc.contributor.author | Xiao, Ya | - |
dc.contributor.author | Chen, Xueliang | - |
dc.contributor.author | Jin, Yi | - |
dc.contributor.author | Hew, Khe Foon | - |
dc.date.accessioned | 2024-10-04T00:31:09Z | - |
dc.date.available | 2024-10-04T00:31:09Z | - |
dc.date.issued | 2024-04-15 | - |
dc.identifier.citation | International Journal of Human-Computer Interaction, 2024 | - |
dc.identifier.issn | 1044-7318 | - |
dc.identifier.uri | http://hdl.handle.net/10722/348053 | - |
dc.description.abstract | <p>Personalized gamification is often considered a superior approach to a one-size-fits-all method. This study addresses three limitations of previous personalized gamification research: (1) conceptual overlap in previous player type models, (2) lack of empirically validated questionnaires, and (3) inadequate profiling methods that only consider the dominant player type. We conducted two interlocking studies. Study One focused on accurately conceptualizing and measuring player types. It synthesized key attributes from previous models and proposed a new model, along with a questionnaire that underwent rigorous development and validation. Study Two focused on comprehensive player type profiling. It employed a new method, cognitive diagnostic models, which produced finer-grained profiles enabling multiple player attributes. Key contributions include a new player type model with five main archetypes, a valid questionnaire for the proposed model, and a feasible method for player type profiling. These contributions advance our understanding of player types and facilitate future personalized gamification practices.</p> | - |
dc.language | eng | - |
dc.publisher | Taylor and Francis Group | - |
dc.relation.ispartof | International Journal of Human-Computer Interaction | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Gamification | - |
dc.subject | personalize | - |
dc.subject | player type | - |
dc.subject | profiling | - |
dc.subject | validate | - |
dc.title | Player Types in Gamified Learning: Conceptualization, Validation, and Profiling | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/10447318.2024.2338664 | - |
dc.identifier.scopus | eid_2-s2.0-85190960198 | - |
dc.identifier.eissn | 1532-7590 | - |
dc.identifier.issnl | 1044-7318 | - |