6 papers
Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
Athar Mahmoudi-Nejad, Matthew Guzdial, Pierre Boulanger
The need to generate a spider to provoke a desired anxiety response arises in the context of personalized virtual reality exposure therapy (VRET), a treatment approach for arachnop…
A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
Jalal Arabneydi, Saiful Islam, Srijita Das +7
With the growing popularity of deep reinforcement learning (DRL), human-in-the-loop (HITL) approach has the potential to revolutionize the way we approach decision-making problems…
Personalizing Exposure Therapy via Reinforcement Learning
Athar Mahmoudi-Nejad, Matthew Guzdial, Pierre Boulanger
Personalized therapy, in which a therapeutic practice is adapted to an individual patient, can lead to improved health outcomes. Typically, this is accomplished by relying on a the…
Label-Free Subjective Player Experience Modelling via Let's Play Videos
Dave Goel, Athar Mahmoudi-Nejad, Matthew Guzdial
Player Experience Modelling (PEM) is the study of AI techniques applied to modelling a player's experience within a video game. PEM development can be labour-intensive, requiring e…
Mechanic Maker: Accessible Game Development Via Symbolic Learning Program Synthesis
Megan Sumner, Vardan Saini, Matthew Guzdial
Game development is a highly technical practice that traditionally requires programming skills. This serves as a barrier to entry for would-be developers or those hoping to use gam…
Evaluating the Effects of AI Directors for Quest Selection
Kristen K. Yu, Matthew Guzdial, Nathan Sturtevant
Modern commercial games are designed for mass appeal, not for individual players, but there is a unique opportunity in video games to better fit the individual through adapting gam…