Accepted Papers
Program
This workshop consists of a series of themed sessions and talks, such that each session started with quick paper presentations and then is followed by a discussion. All times are in GMT.
14:00 Laurel Riek:
Robot Doesn't Know Best: Avoiding Robot-Mediated Paternalism in HRI
14:45 Belated Introduction
15:00 Poster Session
Adversarial Robots as Creative Collaborators / Shayla Lee and Wendy Ju
Rebellion and Disobedience in HRI: Insights from human-horse interaction / Eakta Jain and J. Cortney Bradford
Won't Need to Say No if I am Never Asked: Strategies for Preventing and Communicating Robot Disobedience / Hideki Garcia Goo, Bob Schadenberg, Jan Kolkmeier, Ella Velner, Khiet Truong and Vanessa Evers
Ethical Autonomy: Navigating the Fine Line between Robotic Paternalism and Rebellion in Human-Robot Interaction / Russell Perkins, Anna Nickelson, Paul Robinette and Kagan Tumer
When would you trust a disobedient robot? Establishing a baseline for trust dynamics in robotic noncompliance interactions / Gordon Briggs and Christina Wasylyshyn
15:30 Break
16:00 Beth Phillips:
Robots that Justify their Moral and Disobedience Decision-Making
16:45 Tom Williams:
The Disciplinary Power of Roboticists: A Matrix-Guided Technology Power Analysis
17:30 General Discussion & Wrap-up
Laurel Riek
Dr. Laurel Riek is a Professor in Computer Science and Engineering at the University of California, San Diego, with a joint appointment in the Department of Emergency Medicine, and is affiliated with the Contextual Robotics Institute and Design Lab. Dr. Riek directs the Healthcare Robotics Lab, and leads research in human-robot interaction (HRI), assistive and acessible technology, embodied AI, and health informatics. Riek’s current research projects have applications in acute care, neuro-rehabilitation, and home health. The lab is very interested in supporting health equity through community health efforts.
Dr. Riek received a Ph.D. in Computer Science from the University of Cambridge, and B.S. in Logic and Computation from Carnegie Mellon. Riek served as a Senior Artificial Intelligence Engineer and Roboticist at The MITRE Corporation from 2000-2008, working on learning and vision systems for robots, and held the Clare Boothe Luce chair in Computer Science and Engineering at the University of Notre Dame from 2011-2016.
Dr. Riek has received the NSF CAREER Award, AFOSR Young Investigator Award, Qualcomm Research Award, and multiple best paper awards. Riek’s research has been supported by the NSF, AFOSR, ONR, DOE, and a number of companies and foundations.
Prof. Riek currently serves as HRI Editor for the IEEE Conference on Robotics and Automation (ICRA), on the editorial board of ACM Transactions on Human Robot Interaction (THRI), and previously served as the HRI 2023 General Co-Chair and HRI 2020 Program Co-Chair.
Elizabeth Phillips
Elizabeth "Beth" Phillips is an Assistant Professor in the Department of Psychology in the Human Factors and Applied Cognition Group at George Mason University. She received her Ph.D. in Applied Experimental and Human Factors Psychology from the University of Central Florida and completed her Post-Doctoral work in the Humanity Centered Robotics Initiative at Brown University.
Her expertise is in human interactions with robots, autonomous systems, and related technologies like augmented and virtual reality. She studies how we can design these systems to be better partners and teammates for people in the near future. She has an interest in how robots and other technologies are changing the way we interact with the world and one another, including the future of human relationships. Her research background is diverse and interdisciplinary and includes collaborations with researchers in the departments of engineering and industrial design, computer science, cognitive science, and commercial product companies outside of the university.
She is also the co-creator of the Anthropomorphic RoBOT (ABOT) database, a collection of images of and data about real-world human-like robots. ABOT was created as a resource to enable systematic, generalizable, and reproducible research on the psychological effects of robots’ human-like appearance.
Tom Williams
Tom Williams is an Associate Professor of Computer Science at the Colorado School of Mines, where he directs the Mines Interactive Robotics Research Lab. Prior to joining Mines, Tom earned a joint PhD in Computer Science and Cognitive Science from Tufts University in 2017. Tom’s research focuses on enabling and understanding natural language based human-robot interaction that is sensitive to environmental, cognitive, social, and moral context. His work is funded by grants from NSF, ONR, and ARL, as well as by Early Career awards from NSF, NASA, and AFOSR.