Drone.io: A Gestural and Visual Interface for Human-Drone Interaction

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 dr...

Full description

Saved in:

Bibliographic Details
Published in:	2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 153 - 162
Main Authors:	Cauchard, Jessica R., Tamkin, Alex, Wang, Cheng Yao, Vink, Luke, Park, Michelle, Fang, Tommy, Landay, James A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-03-2019
Subjects:	Drones Graphical user interfaces Human-Drone Interaction Mid-Air Gestures Mobile Projector Navigation Radial Menus Remote control Robotics Robots Sensors UAV Visualization
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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 (\mathbf{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.
ISSN:	2167-2148
DOI:	10.1109/HRI.2019.8673011