Search Results for author: Jennifer Villareale

Found 5 papers, 0 papers with code

Improving Fairness in Adaptive Social Exergames via Shapley Bandits

no code implementations18 Feb 2023 Robert C. Gray, Jennifer Villareale, Thomas B. Fox, Diane H. Dallal, Santiago Ontañón, Danielle Arigo, Shahin Jabbari, Jichen Zhu

Our results indicate that our Shapley Bandits effectively mediates the Greedy Bandit Problem and achieves better user retention and motivation across the participants.

Fairness Multi-Armed Bandits

Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning

no code implementations5 Jul 2021 Mathias Löwe, Jennifer Villareale, Evan Freed, Aleksanteri Sladek, Jichen Zhu, Sebastian Risi

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.

Ensemble Learning Transfer Learning

Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity

no code implementations25 Jan 2021 Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo

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.

Multi-Armed Bandits

Player-AI Interaction: What Neural Network Games Reveal About AI as Play

no code implementations15 Jan 2021 Jichen Zhu, Jennifer Villareale, Nithesh Javvaji, Sebastian Risi, Mathias Löwe, Rush Weigelt, Casper Harteveld

The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research.

Cannot find the paper you are looking for? You can Submit a new open access paper.