@inproceedings{10b4e451a55a49bea2f49943fe0078e1,
title = "Drone.io: A Gestural and Visual Interface for Human-Drone Interaction",
abstract = "Drones are becoming ubiquitous and offer support to people in various tasks, such as photography, in increasingly interactive social contexts. We introduce drone.io, a projected body-centric graphical user interface for human-drone interaction. Using two simple gestures, users can interact with a drone in a natural manner. drone.io is the first human-drone graphical user interface embedded on a drone to provide both input and output capabilities. This paper describes the design process of drone.io. We present a proof of concept, drone-based implementation, as well as a fully functional prototype for a drone tour-guide scenario. We report drone.io's evaluation in three user studies (N=27) and show that people were able to use the interface with little prior training. We contribute to the field of human-robot interaction and the growing field of human-drone interaction.",
keywords = "Human-Drone Interaction, Mid-Air Gestures, Mobile Projector, Radial Menus, Robotics, UAV",
author = "Cauchard, \{Jessica R.\} and Alex Tamkin and Wang, \{Cheng Yao\} and Luke Vink and Michelle Park and Tommy Fang and Landay, \{James A.\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 ; Conference date: 11-03-2019 Through 14-03-2019",
year = "2019",
month = mar,
day = "22",
doi = "10.1109/HRI.2019.8673011",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "153--162",
booktitle = "HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}