Our lab has just sent four members to Bielefeld, Germany for the 2014 Human-Robot Interaction (HRI 2014) conference! Good luck to Allison Sauppé, Sean Andrist, Chien-Ming Huang, and Dan Szafir!
Allie’s paper explores deictic gestures (i.e. pointing and presenting) and their effectiveness in a robot’s ability to communicate and instruct through motion.
Sean’s paper focuses on a different aspect in robot communication, assessing a system that controls the pattern and timing of gaze aversion for robots in order to appear more natural and engaging. When timed properly, averting gaze can make a robot seem much more natural and can even mimic “thinking” before responding to an inquiry.
The third paper was led by Chien-Ming and both proposes and evaluates a learning-based model for human-like robot behavior. His study was the first using the dynamic Bayesian network (DBN), a more complex graphical model that represents human interaction.
Dan’s paper looks as assistive free-flyers (AFFs), or remotely controlled drones that are commonly used by NASA. His study evaluates flight patters that better convey intent with more natural motion.
A special congratulations goes to Sean and Dan for being accepted into the HRI pioneers program (HRI Pioneers). Great job everyone!
Andrist, S., Pejsa, T., Mutlu, B., and Gleicher, M. (2014). Conversational Gaze Aversion for Humanlike Robots. Proceedings of the 2014 ACM/IEEE Human-Robot interaction Conference (HRI 2014). March 2014. Bielefeld, Germany.
C.-M. Huang and B. Mutlu. Learning-Based Modeling of Multimodal Behaviors for Humanlike Robots. Proceedings of the 2014 ACM/IEEE Conference on Human-Robot Interaction (HRI 2014). March 2014. Bielefeld, Germany.
D. Szafir, B. Mutlu, and T. Fong (2014). Communication of Intent in Assistive Free Flyers In Proceedings of the 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2014), Bielefeld, Germany.