Mariah Schrum

According to our database, Mariah Schrum authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving.

Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best

IEEE Trans. Robotics, 2024

CoS: Enhancing Personalization and Mitigating Bias with Context Steering.

Jerry Zhi-Yang He, Sashrika Pandey, Mariah L. Schrum, Anca D. Dragan

CoRR, 2024

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation.

Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Balancing Preference and Performance through Adaptive Personalized Explainability.

Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction.

Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay

Int. J. Hum. Comput. Interact., April, 2023

Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices.

Mariah Schrum, Muyleng Ghuy, Erin Hedlund-Botti, Manisha Natarajan, Michael Johnson, Matthew C. Gombolay

ACM Trans. Hum. Robot Interact., 2023

Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction.

Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams.

Esmaeil Seraj, Jerry Xiong, Mariah Schrum, Matthew C. Gombolay

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Impacts of Robot Learning on User Attitude and Behavior.

Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration.

Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022

Meta-Active Learning in Probabilistically Safe Optimization.

Mariah Schrum, Mark J. Connolly, Eric R. Cole, Mihir Ghetiya, Robert E. Gross, Matthew C. Gombolay

IEEE Robotics Autom. Lett., 2022

MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning.

Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Personalized Meta-Learning for Domain Agnostic Learning from Demonstration.

Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching.

Mariah L. Schrum, Erin Hedlund-Botti, Matthew C. Gombolay

Proceedings of the Conference on Robot Learning, 2022

2021

A Mosquito Pick-and-Place System for PfSPZ-Based Malaria Vaccine Production.

Henry Phalen, Prasad Vagdargi, Mariah L. Schrum, Sumana Chakravarty, Amanda Canezin, Michael Pozin, Suat Coemert, Iulian Iordachita, Stephen L. Hoffman, Gregory S. Chirikjian, Russell H. Taylor

IEEE Trans Autom. Sci. Eng., 2021

Improving Robot-Centric Learning from Demonstration via Personalized Embeddings.

Mariah L. Schrum, Erin Hedlund, Matthew C. Gombolay

CoRR, 2021

Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy.

Mariah L. Schrum, Glen Neville, Michael Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020

When Your Robot Breaks: Active Learning During Plant Failure.

Mariah L. Schrum, Matthew C. Gombolay

IEEE Robotics Autom. Lett., 2020

Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies.

Mariah L. Schrum, Michael Johnson, Muyleng Ghuy, Matthew C. Gombolay

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019

An Efficient Production Process for Extracting Salivary Glands from Mosquitoes.

Mariah Schrum, Amanda Canezin, Sumana Chakravarty, Michelle Laskowski, Suat Coemert, Yunuscan Sevimli, Gregory S. Chirikjian, Stephen L. Hoffman, Russell H. Taylor

CoRR, 2019

Human Trust After Robot Mistakes: Study of the Effects of Different Forms of Robot Communication.

Sean Ye, Glen Neville, Mariah Schrum, Matthew C. Gombolay, Sonia Chernova, Ayanna M. Howard

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Humanoid Therapy Robot for Encouraging Exercise in Dementia Patients.

Mariah Schrum, Chung Hyuk Park, Ayanna M. Howard

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019