activity
20202023
most citedPersonalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity

5 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023★ 5 cited

Improving Fairness in Adaptive Social Exergames via Shapley Bandits

Robert C. Gray, Jennifer Villareale, Thomas B. Fox +5

Algorithmic fairness is an essential requirement as AI becomes integrated in society. In the case of social applications where AI distributes resources, algorithms often must make…

cs.HC2021★ 5 cited

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

Jichen Zhu, Diane H. Dallal, Robert C. Gray +4

Social comparison-based features are widely used in social computing apps. However, most existing apps are not grounded in social comparison theories and do not consider individual…

cs.AI2021

Player Modeling via Multi-Armed Bandits

Robert C. Gray, Jichen Zhu, Dannielle Arigo +2

This paper focuses on building personalized player models solely from player behavior in the context of adaptive games. We present two main contributions: The first is a novel appr…

cs.LG2021

Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits

Robert C. Gray, Jichen Zhu, Santiago Ontañón

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.…

cs.HC2020★ 3 cited

iNNk: A Multi-Player Game to Deceive a Neural Network

Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro +10

This paper presents iNNK, a multiplayer drawing game where human players team up against an NN. The players need to successfully communicate a secret code word to each other throug…