Pedro Cardoso-Leite

11 papers B 4C 1Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Theory-Informed Message Framing Drive Honest and Motivated Performance with Better Assessment Experiences in a Remote Assessment?
CoRR
Suvadeep Mukherjee, Björn Rohles, Gabriele Lenzini, Pedro Cardoso-Leite
2025 C conf
Prototyping Video Games for Understanding Abstract Concepts.
CoG
Hainan Yu, Pedro Cardoso-Leite
2024 — conf
Balancing The Perception of Cheating Detection, Privacy and Fairness: A Mixed-Methods Study of Visual Data Obfuscation in Remote Proctoring.
EuroUSEC
Suvadeep Mukherjee, Verena Distler, Gabriele Lenzini, Pedro Cardoso-Leite
2024 J jnl
Balancing The Perception of Cheating Detection, Privacy and Fairness: A Mixed-Methods Study of Visual Data Obfuscation in Remote Proctoring.
CoRR
Suvadeep Mukherjee, Verena Distler, Gabriele Lenzini, Pedro Cardoso-Leite
2023 — conf
Video Games to Study and Improve Collaboration Skills.
CHI PLAY (Companion)
Hainan Yu, Pedro Cardoso-Leite
2022 B conf
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control.
CogSci
Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite
2022 J jnl
Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control.
CoRR
Morteza Ansarinia, Paul Schrater, Pedro Cardoso-Leite
2022 B conf
Optimal learning under structural environmental uncertainty reveals inherent learning trade-offs.
CogSci
Santiago Herce Castañón, Pedro Cardoso-Leite, C. Shawn Green, Daphne Bavelier, Paul Schrater
2019 B conf
A generalizable performance evaluation model of driving games via risk-weighted trajectories.
EDM
Rory Flemming, Emmanuel Schmück, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater
2019 — conf
Principles underlying the design of a cognitive training game as a research framework.
VS-GAMES
Emmanuel Schmück, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite
2019 B conf
Towards discovering problem similarity through deep learning: combining problem features and user behavior.
EDM
Dominic Mussack, Rory Flemming, Paul Schrater, Pedro Cardoso-Leite