Emotion encoding in human-drone interaction

Jessica R. Cauchard, Kevin Y. Zhai, Marco Spadafora, James A. Landay

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

141 Scopus citations

Abstract

Drones are becoming more popular and may soon be ubiquitous. As they enter our everyday environments, it becomes critical to ensure their usability through natural Human-Drone Interaction (HDI). Previous work in Human- Robot Interaction (HRI) shows that adding an emotional component is part of the key to success in robots' acceptability. We believe the adoption of personal drones would also benefit from adding an emotional component. This work defines a range of personality traits and emotional attributes that can be encoded in drones through their flight paths. We present a user study (N=20) and show how well three defined emotional states can be recognized. We draw conclusions on interaction techniques with drones and feedback strategies that use the drone's flight path and speed.

Original languageEnglish
Title of host publicationHRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
PublisherInstitute of Electrical and Electronics Engineers
Pages263-270
Number of pages8
ISBN (Electronic)9781467383707
DOIs
StatePublished - 12 Apr 2016
Externally publishedYes
Event11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand
Duration: 7 Mar 201610 Mar 2016

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2016-April
ISSN (Electronic)2167-2148

Conference

Conference11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Country/TerritoryNew Zealand
CityChristchurch
Period7/03/1610/03/16

Keywords

  • Affective computing
  • Drone
  • UAV

ASJC Scopus subject areas

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

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