Subgroup 03 | Metrics & Measures
Megan Zimmerman (co-chair)
| US National Institute of Standards and Technology (USA)
Connor Esterwood
| University of Michigan (USA)
Connor Esterwood is a Phd Candidate at the University of Michigan’s School of Information. His research investigates the capacity of robots to repair and restore trust in the aftermath of errors. In addition, he also explores how individual differences such as personality and mind perception impact human–robot interaction. His work has appeared in leading journal sand conferences across the human–robot interaction and human–computer interaction space including publication in Nature Scientific Reports, Computers in Human Behavior (CHB), International Journal of Human–Computer Interaction (IJHCI), IEEE Robotics and Automation Letters (RA-L), the ACM/IEEE Conference on Human-Robot Interaction (HRI), the ACM Conference on Human Factors in Computing Systems (CHI), and, the IEEE Conference on Robot & Human Interactive Communication (RO-MAN).
Snehesh Shrestha
| UMD PhD Candidate/ NIST PREP Researcher (USA) Website: https://www.Snehesh.com
Snehesh Shrestha is a Ph.D. candidate at the University of Maryland College Park. He works in the Perception and Robotics Group (PRG) lab in the Department of Computer Science under the guidance of Prof. Yiannis Aloimonos (CS), Dr. Cornelia Fermüller (UMAICS), Dr. Ge Gao (INFO), and Dr. Irina Muresanu (School of Music). His research is at the intersection of robotics, artificial intelligence, human factors, arts, and culture. He is interested in multidisciplinary research aimed at building rich and intuitive experiences that ‘amplify human abilities, empowering people and ensuring human control.’ His recent work includes natural repair mechanisms in HRI and AI-empowered music education.
Liz Carter
| Carnegie Mellon University (USA)