Erin Hedlund-Botti

Orcid: 0000-0001-9890-4873

According to our database1, Erin Hedlund-Botti authored at least 13 papers between 2021 and 2024.

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Bibliography

2024
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks.
Int. J. Hum. Comput. Stud., April, 2024

The Impact of Stress and Workload on Human Performance in Robot Teleoperation Tasks.
IEEE Trans. Robotics, 2024

2023
Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction.
Int. J. Hum. Comput. Interact., April, 2023

Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices.
ACM Trans. Hum. Robot Interact., 2023

Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Impacts of Robot Learning on User Attitude and Behavior.
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.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Investigating Learning from Demonstration in Imperfect and Real World Scenarios.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Personalized Meta-Learning for Domain Agnostic Learning from Demonstration.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching.
Proceedings of the Conference on Robot Learning, 2022

2021
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings.
CoRR, 2021

The Effects of a Robot's Performance on Human Teachers for Learning from Demonstration Tasks.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021


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