Evaluating Human-Robot Fluency

In this work, we will explore what influences human’s perceptions of “team” to design better robotic teammates. In particular, we are interested in looking at how the scheduling of a robot teammate can influence a human teammate’s perception of team fluidity.   

This fall, we will be executing and analyzing an online Human-Robot experiment we designed over the summer. This position would be involved in helping us run and write the statistical analysis of this experiment.

Learn more about this experiment here:

Name of research group, project, or lab
Human Experience & Agent Teamwork Lab (HEATlab)
Why join this research group or lab?

The mission of the HEATlab is to create new techniques for human-robot teaming—the flexible navigation and coordination of complex, inter-related activities in shared spaces. We focus on using ideas from AI to automate the scheduling and coordination of human-robot teams. We are particularly motivated by the challenge of coordinating the activities of human-robot teams in environments that require explicit cooperation to be successful. Our goal is to create human-robot teams that exploit the relative strengths of humans and agents to accomplish what neither can achieve alone.

 

Representative publication
Logistics Information:
Project categories
Computer Science
Humanities, Social Sciences, and the Arts
Artificial Intelligence
Human-centered Design
Human-Computer Interaction
Robotics
Student ranks applicable
Junior
Senior
Student qualifications
  • Taken Math 62 (required) -- Additional higher level statistics courses (preferred)
  • Interest/background in social science
Time commitment
Fall - Part Time
Compensation
Academic Credit
Number of openings
1
Techniques learned

This position is primarily responsible for helping us with the statistical analysis for our experiment.

You will also gain experience in all stages of conducting academic research (formulating research questions, designing approaches and evaluations, and evaluating and writing up results).  You will also gain experience programming robots,  algorithm design, human-centered design.

 

Contact Information:
Mentor
Jim Boerkoel
boerkoel@hmc.edu
Associate Professor of Computer Science
Name of project director or principal investigator
Jim Boerkoel
Email address of project director or principal investigator
boerkoel@hmc.edu
1 sp. | 2 appl.
Hours per week
Fall - Part Time
Project categories
Computer Science (+5)
Computer ScienceHumanities, Social Sciences, and the ArtsArtificial IntelligenceHuman-centered DesignHuman-Computer InteractionRobotics