HexArcade
Author:
Affiliation:
1. German Research Center for Artificial Intelligence, Saarland Informatics Campus, Saarbrücken, Germany
2. University of Waterloo, Waterloo, ON, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3410404.3414232
Reference47 articles.
1. Combining Behavior Change Intentions and User Types to Select Suitable Gamification Elements for Persuasive Fitness Systems
2. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing;Benjamini Yoav;Journal of the Royal Statistical Society,1995
3. Age-Based Preferences and Player Experience
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1. Increasing motivation in social exercise games: personalising gamification elements to player type;Behaviour & Information Technology;2023-09-13
2. Predicting user types with symbolic images: An empirical validation based on two card-sorting studies;Entertainment Computing;2023-08
3. Hexad-12: Developing and Validating a Short Version of the Gamification User Types Hexad Scale;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
4. Your Favorite Gameplay Speaks Volumes About You: Predicting User Behavior and Hexad Type;Lecture Notes in Computer Science;2023
5. Adapt Gamification to Learners' Preferences;2022 Fifth College of Science International Conference of Recent Trends in Information Technology (CSCTIT);2022-11-15
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