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Found 5 papers, 0 papers with code
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.
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning
In this paper, we focus on the adversarial player strategy aspect in the game iNNk, in which players try to communicate secret code words through drawings with the goal of not being deciphered by a NN.
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.
Player-AI Interaction: What Neural Network Games Reveal About AI as Play
The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research.
iNNk: A Multi-Player Game to Deceive a Neural Network
This paper presents iNNK, a multiplayer drawing game where human players team up against an NN.
