Home /Research /DroneCamo: Modifying Human-Drone Comfort via Augmented Reality
HRI

DroneCamo: Modifying Human-Drone Comfort via Augmented Reality

Atsushi Mori, Yuta Itoh

Year
2019
Citations
7

Abstract

We present an augmented reality (AR) system for drones to improve people's comfort by camouflaging the appearance of the drones via optical see-through AR visualization. Given the growing social use of autonomous robots such as self-driving vehicles and delivery drones, a comfortable coexistence of human and robot is becoming an increasingly important topic. In this work, we explore how AR technology could improve human-robot comfort. Specifically, we demonstrated an AR system and conducted a user study (N=14) on a proof-of-concept AR system consisting of a HoloLens, OptiTrack, and a toy drone. While showing AR avatars with seemingly positive or negative appearances, we collected both objective and subjective measures of the subjects' comfort. Our results show that subjects were more comfortable when the drone was camouflaged with a positive avatar and less comfortable for the negative avatar.

Keywords

DroneAvatarAugmented realityRobotComputer scienceHuman–computer interactionVisualizationHuman–robot interactionArtificial intelligenceSimulation

Related papers

Browse all HRI papers