Duke University R&A: Humans And Autonomy Lab - Humans' Interactions with Autonomous Systems - Dr. Michael Clamann, Explainable Artificial Intelligence - Dr. Alexander Stimpson, Experiment on Humans' Trust in Risk-Aware Autonomy - Dr. Lixiao Huang
Duke University R&A: Humans And Autonomy Lab - Humans' Interactions with Autonomous Systems - Dr. Michael Clamann, Explainable AI - Dr. Alexander Stimpson, Experiment on Humans' Trust in Risk-Aware Autonomy - Dr. Lixiao Huang
Research in Duke University's Humans and Autonomy Lab (HAL*) focuses on the multifaceted interactions of human and computer decision-making in complex sociotechnical systems with embedded autonomy.
Given the explosion of autonomous technology in aviation, medicine, and even in everyday mundane environments like driving, the need for humans as supervisors of and collaborators in complex autonomous control systems has replaced the need for humans in direct manual control.
Instead of relying on humans for well-rehearsed skill execution and rule following that requires significant practice and memorization (and subject to problems such as fatigue and boredom), autonomous systems need humans for their more abstract levels of knowledge synthesis, judgment, and reasoning. Autonomous systems today, and even more so in the future, require coordination and teamwork for mutual support between humans and machines for both improved system safety and performance.
Highly impressive members from Duke HAL project team, Dr. Michael Clamann, Dr. Alexander Stimpson and Dr. Lixiao Huang together will present a subset of the technology research areas involved at Duke HAL Lab. Dr. Clamann will start with a broad overview of projects done at HAL research, will provide his valuable insights about recent trends in Human Interactions with Autonomous Systems. Dr. Stimpson will discuss about "Explainable Aritificial Intelligence" project. Dr. Huang will discuss about "An Experiment on Humans' Trust in Risk-Aware Autonomy" project. This will be followed a brief tour on Human And Autonomy Lab at Duke. Please refer to the following link to know more about Duke's HAL research projects.
HAL lab URL: https://hal.pratt.duke.ed
Bio of the speakers:
Dr. Alexander Stimpson is a senior research scientist at Duke University working in the Humans and Autonomy Lab. He received a B.S. Degree in Biological Engineering from the University of Florida, Gainesville, FL, USA, in 2007, and S.M. and Ph.D. Degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, in 2011 and 2014, respectively. His dissertation work focused on the application of machine learning models to inform training assessment and intervention. His current research interests include human supervisory control, decision support systems, artificial intelligence, and data mining.
Dr. Michael Clamann is a senior research scientist with the Humans and Autonomy Lab (HAL) at Duke University. He received a Ph.D. in Industrial and Systems Engineering at North Carolina State University in 2014. He received a M.I.E. in Industrial and Systems Engineering and a M.S. in Experimental Psychology from North Carolina State University in 2011 and 2002, respectively. He is an Associate Director at the Collaborative Sciences Center for Road Safety (CSCRS) and is the lead editor of Robotics and AI for the Duke Initiative for Science & Society's Policy Tracking Program (SciPol). His research interests include human-automation interaction, multimodal control, and issues at the intersection of technology and society. He has worked in industry as Human Factors Engineer since 2002, supporting government and private clients in domains including aerospace, defense, and telecommunications.
Dr. Lixiao Huang is a Postdoctoral Associate at the Humans and Autonomy Lab at Duke University since February 2017. She received her B.S. degree in Applied Psychology from Shanxi University in 2005, two master's degrees between 2006 and 2010 (a M.Ed. degree in Applied Psychology from Beijing Normal University and a M.S. degree in Industrial/Organizational Psychology from Emporia State University), and a Ph.D. degree in Human Factors and Applied Cognition at NC State University in December 2016. Her dissertation focused on humans’ intrinsic motivation in robotics tournaments and humans' emotional attachment to robots. Her research interests include 1) humans’ emotional, cognitive, and behavioral responses to robots (especially emotional attachment, intrinsic motivation, and trust in autonomy); 2) application of human factors inhuman–robot interface design, and 3) the effectiveness of robotics education. Her recent work investigates humans' trust in autonomy through the development of the Human–Autonomy Interface for Exploration of Risks (HAIER).
IEEE ENCS RA24 chapter appreciates the passion, drive, highly impressive efforts and cotribution from Dr. Clamann, Dr. Stimpson, Dr. Huang and the entire Duke HAL team on the research initiatives involving multiple R&A projects and wishes continued success, all the very best to their career & life.
Date and Time
- Date: 06 November 2017
- Time: 07:00 PM to 09:00 PM
- All times are US/Eastern
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- Duke University
- 304 Research Dr
- Durham, North Carolina
- United States 27708
- Building: North Building
- Room Number: Room 311
- Registration closed
6:20-7:00pm Networking with pizza and soda
The times below are approximate and are given just as a guideline:
Following Highly impressive research members from Duke University HAL Project team will be presenting as below.
7:00-7:20pm Dr. Clamann will present his invaluable insights about recent trends in "Humans' Interactions with Autonomous Systems", followed by a brief 5 minutes Q/A session.
7:20-7:40pm Dr. Stimpson will present about "Explainable Artificial Intelligence", followed by a brief 5 minutes Q/A session.
7:40-8:00pm Dr. Huang will present about "An Experiment on Humans' Trust in Risk-Aware Autonomy", followed by a brief 5 minutes Q/A session.
8:00-8:30pm Dr. Stimpson will lead the lab tour. Dr. Clamann and Dr. Huang will help when needed.
8:30-9:00pm Networking, Cleaning up.