Intelligent Robot Learning Laboratory (IRL Lab) Human-Robot Interaction

By: Bei Peng, Tanay Nigam, Francis Pascual and Matthew E. Taylor

Undergraduates: Mitchell Scott (WSU) and Madeline Chili (Elon University)

In this project, we developed an exploratory study where participants piloted a commercial UAS (unmanned aerial system) through an obstacle course. We examined the effect of varying instructions on the participant’s performance. How a participant’s age, nervousness and experience with video games impacted performance was also evaluated. Our preliminary data suggests future studies to perform, as well as guidelines for human-robot interaction, and some best practices for learning from demonstration studies. Future work will focus on exploring other factors that affect demonstration quality and developing a model to predict the quality of a future robot demonstration from a user.¬†[1]

[1] [pdf] Mitchell Scott, Bei Peng, Madeline Chili, Tanay Nigam, Francis Pascual, Cynthia Matuszek, and Matthew E. Taylor. On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot. In Proceedings of the AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction (AI-HRI), November 2015.
[Bibtex]
@inproceedings{2015AI_HRI-Scott,
author={Mitchell Scott and Bei Peng and Madeline Chili and Tanay Nigam and Francis Pascual and Cynthia Matuszek and Matthew E. Taylor},
title={{On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot}},
booktitle={{Proceedings of the {AAAI} Fall Symposium on Artificial Intelligence and Human-Robot Interaction ({AI-HRI})}},
month={November},
year={2015},
bib2html_pubtype={Refereed Workshop or Symposium},
abstract={This paper presents an exploratory study where participants piloted a commercial UAS (unmanned aerial system) through an obstacle course. The goal was to determine how varying the instructions given to participants affected their performance. Preliminary data suggests future studies to perform, as well as guidelines for human-robot interaction, and some best practices for learning from demonstration studies.}
}