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This paper describes our approach to designing, developing behaviors for, and exploring the use of, a robotic footstool, which we named the mechanical ottoman. By approaching unsuspecting participants and attempting to get them to place their feet on the footstool, and then later attempting to break the engagement and get people to take their feet down, we… (More)
In future automated driving systems, drivers will be free to perform other secondary tasks, not needing to stay vigilant in monitoring the car's activity. However, there will still be situations in which drivers are required to take-over control of the vehicle, most likely from a highly distracted state. While highly automated vehicles would ideally… (More)
With automated driving systems, drivers may still be expected to resume full control of the vehicle. While structured transitions where drivers are given warning are desirable, it is critical to benchmark how drivers perform when transition of control is unstructured and occurs without advanced warning. In this study, we observed how participants (N=27) in… (More)
How will pedestrians and cyclists interact with self-driving cars when there is no human driver? To find answers to this question we need a secure experimental design in which pedestrians can interact with a car that appears to drive on its own. In Ghost Driver we staged a fake autonomous car by installing LIDARs, cameras and decals on the outside of the… (More)
This video introduces a robotic footstool--the mechanical ottoman--which explores how non-humanlike robots can coordinate joint action. It approaches seated people and offers to support their feet, then attempts to take leave during the interaction.
While automated driving systems will become increasingly capable and common in the future, there will still be instances when human drivers want or need to make corrections to the car's automated driving behavior. We conducted two studies exploring how driving interfaces could be designed to better execute the drivers' intentions. In our first study, adult… (More)
Our demonstration presents the roving trash barrel, a robot that we developed to understand how people perceive and respond to a mobile trashcan that offers its service in public settings. In a field study, we found that considerable coordination is involved in actively collecting trash, including capturing someone's attention, signaling an intention to… (More)