A generalizable performance evaluation model of driving games via risk-weighted trajectories. - Rory Flemming; Emmanuel Schmück; Dominic Mussack; Pedro Cardoso-Leite; Paul Schrater (EDM, 2019)

Towards discovering problem similarity through deep learning: combining problem features and user behavior. - Dominic Mussack; Rory Flemming; Paul Schrater; Pedro Cardoso-Leite (EDM, 2019)

Principles underlying the design of a cognitive training game as a research framework. - Emmanuel Schmück; Rory Flemming; Paul Schrater; Pedro Cardoso-Leite (VS-GAMES, 2019)

Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control. - Morteza Ansarinia; Paul Schrater; Pedro Cardoso-Leite (CogSci, 2022)

Optimal learning under structural environmental uncertainty reveals inherent learning trade-offs. - Santiago Herce Castañón; Pedro Cardoso-Leite; C. Shawn Green; Daphne Bavelier; Paul Schrater (CogSci, 2022)

Video Games to Study and Improve Collaboration Skills. - Hainan Yu; Pedro Cardoso-Leite (CHI PLAY (Companion), 2023)

Balancing The Perception of Cheating Detection, Privacy and Fairness: A Mixed-Methods Study of Visual Data Obfuscation in Remote Proctoring. - Suvadeep Mukherjee; Verena Distler; Gabriele Lenzini; Pedro Cardoso-Leite (EuroUSEC, 2024)

Prototyping Video Games for Understanding Abstract Concepts. - Hainan Yu; Pedro Cardoso-Leite (CoG, 2025)