Home /Research /Drone.io: A Gestural and Visual Interface for Human-Drone Interaction
HRI

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

Jessica R. Cauchard, Alex Tamkin, Cheng Yao Wang, Luke Vink, Michelle Park, Tommy Fang, James A. Landay

Year
2019
Citations
59

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

DroneComputer scienceHuman–computer interactionInterface (matter)Graphical user interfaceGestureField (mathematics)User interfaceRobotProcess (computing)

Related papers

Browse all HRI papers