8 citations · 25 across the 5 of their papers we have counts for
6 papers
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning
Mathias Löwe, Jennifer Villareale, Evan Freed +3
Applying neural network (NN) methods in games can lead to various new and exciting game dynamics not previously possible. However, they also lead to new challenges such as the lack…
Understanding Mental Models of AI through Player-AI Interaction
Jennifer Villareale, Jichen Zhu
Designing human-centered AI-driven applications require deep understandings of how people develop mental models of AI. Currently, we have little knowledge of this process and limit…
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…
Player-AI Interaction: What Neural Network Games Reveal About AI as Play
Jichen Zhu, Jennifer Villareale, Nithesh Javvaji +4
The advent of artificial intelligence (AI) and machine learning (ML) bring human-AI interaction to the forefront of HCI research. This paper argues that games are an ideal domain f…
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…
Reflection in Game-Based Learning: A Survey of Programming Games
Jennifer Villareale, Colan F. Biemer, Magy Seif El-Nasr +1
Reflection is a critical aspect of the learning process. However, educational games tend to focus on supporting learning concepts rather than supporting reflection. While reflectio…