Education, Research, Press
Selected Publications
Parreira, M. T., Lingaraju, S. G., Ramirez‑Aristizabal, A., Bremers, A., Saha, M., Kuniavsky, M., & Ju, W. “Bad Idea, Right?” Exploring Anticipatory Human Reactions for Outcome Prediction in HRI. To appear, RO-MAN 2024.
preprint hereParreira, M. T., Lingaraju, S. G., Ramirez‑Aristizabal, A., Saha, M., Kuniavsky, M., & Ju, W. (2024). A Study on Domain Generalization for Failure Detection through Human Reactions in HRI. arXiv preprint arXiv:2403.06315.
Parreira, M. T., Lingaraju, S. G., Ramirez‑Aristizabal, A., Bremers, A., Saha, M., Kuniavsky, M., & Ju, W. (2023). Bad Idea? Exploring Anticipatory Human Reactions for Outcome Prediction [Poster]. In NERC2023: Northeast Robotics Colloquium 2023, New Haven, USA.
Poster here
Spitale, M., Stower, R., Yadollahi, E., Parreira, M. T., Abbasi, N. I., Leite, I., & Gunes, H. (2023). A Systematic Review on Reproducibility in Child-Robot Interaction. arXiv preprint arXiv:2309.01822. https://arxiv.org/abs/2309.01822
Parreira, M. T., Sack, M. J. & Jung, M. (2023). What predicts interpersonal affect? Preliminary analyses from retrospective evaluations. In Proceedings of the 2023 IEEE RO-MAN. IEEE
Sack, M. J., Parreira, M. T., Fu, J., Lipman, A., Javed, H., Jamali, N., & Jung, M. (2023). CORAE: A Tool for Intuitive and Continuous Retrospective Evaluation of Interactions. ArXiv. /abs/2306.16629. https://arxiv.org/abs/2306.16629
Maria Teresa Parreira, Sarah Gillet, Katie Winkle, and Iolanda Leite. 2023. How Did We Miss This? A Case Study on Unintended Biases in Robot Social Behavior. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’23 Companion), March 13–16, 2023, Stockholm, Sweden. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3568294.3580032
Alexandra W. Bremers, Maria Teresa Parreira, Xu Fang, Natalie Friedman, Adolfo G. Ramirez-Aristizabal, Alexandria Pabst, Mirjana Spasojevic, Michael Kuniavsky and Wendy Ju. 2023. “The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI.” ArXiv abs/2303.04835. https://doi.org/10.48550/arXiv.2303.04835
Alexandra W. Bremers., Alexandria Pabst, Maria Teresa Parreira, and Wendy Ju. 2023. Using Social Cues to Recognize Task Failures for HRI: A Review of Current Research and Future Directions. ArXiv, abs/2301.11972. https://doi.org/10.48550/arXiv.2301.11972
Maria Teresa Parreira, Sarah Gillet, Marynel Vázquez, and Iolanda Leite. 2022. Design Implications for Effective Robot Gaze Behaviors in Multiparty Interactions. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI '22). IEEE Press, 976–980. https://dl.acm.org/doi/10.5555/3523760.3523918
Sarah Gillet, Maria Teresa Parreira, Marynel Vázquez, and Iolanda Leite. 2022. Learning Gaze Behaviors for Balancing Participation in Group Human-Robot Interactions. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI '22). IEEE Press, 265–274. https://dl.acm.org/doi/10.5555/3523760.3523798
Work/Research Experience
Aug/2022-now
PhD Student, Information Science, Cornell University. Advisors: Profs. Malte Jung, Wendy Ju
June/2021-July/2022
Research Engineer at Robotics,Perception and Learning Department, KTH (Stockholm, Sweden)
April/2020-Jan/2020
Scholar for Institute for Systems and Robotics (Lisboa, Portugal), in collaboration with Dahl's Lab at Carnegie Mellon University (USA)
Mar/2019 - Jul/2019
Internship at Institute for Systems and Robotics (Lisboa, Portugal), a machine learning approach to segmentation of MRI images in cases of MS
Dec/2017 - Feb/2018
Internship at Institute for Systems and Robotics (Lisboa, Portugal), development of grasping motion for the Vizzy robot
Sep/2016 - Feb/2017
Teaching Assistant in Histology, Faculty of Medicine in University of Lisbon (Portugal)
Education
2015-2020
Integrated MSc in Biomedical Engineering, IST (Lisboa, Portugal)
Magna cum laude (19/20) , Master Thesis Dissertation in collaboration with Carnegie Mellon University (Pittsburgh, USA) evaluated at 20/20
2018
Exchange semester in Tsinghua University (Beijing, China)
Computer Science Department
Visits/Talks/Summer Schools
06/2023, MIRRORLab (remote) - "How can we (should we) become better roboticists? A Case Study on Unintended Biases in Robot Social Behavior"
05/2023, GAIPS (Lisboa) - “How Did They Come Across?” Lessons Learned from Continuous Affective Ratings"
05/2023, ITI (Lisboa) - “How Did They Come Across?” Lessons Learned from Continuous Affective Ratings"
06/2023 - Attended RPL Summer School (Stockholm)
Reviews and Committees
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2023-24
Late-Breaking Reports, ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022-24
Transactions on Human-Robot Interaction (THRI) 2024
International Conference on Social Robotics (ICSR) 2024
01/2023-now - PACT committee (PhDs At Cornell Tech): Co-president (1/2023-1/2024), Social Chair (1/2024-1/2025)
10/2023 - Organizing committee for the IS Retreat
Cognitive Systems Research, 2023
International Journal of Social Robotics, 2022-23
Other Projects
DFL - Bundesliga Data Shootout (Kaggle, 2022)
Feature Extraction for Cell Mechanobiology analysis (Thesis work, 2020)
EEG Pattern Mining (Course work, 2019)
EMG for Robotic Platform Control (Course work, 2019)
Human Protein Atlas Image Classification (Kaggle, 2018)
Press
Jul/2024 - Participated and intervened at HLPF's Science Day, at the UN Headquarters
Jun/2024 - A great summary of our research on "Bad Robots" with Accenture, from an old collaborator
Feb/2022 - IEEE Portugal's Outstanding MSc Thesis Award
Nov/2021 - Honored with the Maria de Lourdes Pintasilgo Award ; Ceremony here (PT) ; Other Press