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Improving Fairness in Adaptive Social Exergames via Shapley Bandits
Our results indicate that our Shapley Bandits effectively mediates the Greedy Bandit Problem and achieves better user retention and motivation across the participants.
Player Modeling via Multi-Armed Bandits
This paper focuses on building personalized player models solely from player behavior in the context of adaptive games.
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits
This paper explores multi-armed bandit (MAB) strategies in very short horizon scenarios, i. e., when the bandit strategy is only allowed very few interactions with the environment.
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity
In addition to design implications for social comparison features in social apps, this paper identified the personalization paradox, the conflict between user modeling and adaptation, as a key design challenge of personalized applications for behavior change.
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