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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

45 Scopus citations


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.

Original languageEnglish
Title of host publicationHRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PublisherInstitute of Electrical and Electronics Engineers
Number of pages10
Volume2019- March
ISBN (Electronic)9781538685556
StatePublished - 22 Mar 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: 11 Mar 201914 Mar 2019


Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Country/TerritoryKorea, Republic of


  • Human-Drone Interaction
  • Mid-Air Gestures
  • Mobile Projector
  • Radial Menus
  • Robotics
  • UAV

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering


Dive into the research topics of 'Drone.io: A Gestural and Visual Interface for Human-Drone Interaction'. Together they form a unique fingerprint.

Cite this