Knowing you, Seeing me: Investigating User Preferences in Drone-Human Acknowledgement

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26 Citations (Scopus)

Abstract

In the past, human proxemics research has poorly predicted human robot interaction distances. This paper presents three studies on drone gestures to acknowledge human presence and clarify suitable acknowledging distances. We evaluated four drone gestures based on non-verbal human greetings. The gestures included orienting towards the counterpart and salutation gestures. We tested these individually and in combination to create a feeling of acknowledgement in people. Our users preferred being acknowledged from two meters away but gestures were also effective from four meters. Rotating the drone towards the user elicited a higher degree of acknowledgement than without. We conclude with a set design guidelines for drone gestures.
Original languageEnglish
Title of host publicationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Number of pages12
PublisherAssociation for Computing Machinery
Publication date2018
Article number365
ISBN (Print)978-1-4503-5620-6
DOIs
Publication statusPublished - 2018
EventACM CHI Conference on Human Factors in Computing Systems 2017: Explore, Innovate, Inspire - Colorado Convention Center, Denver, United States
Duration: 6 May 201711 May 2017
https://chi2017.acm.org/index.html

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems 2017
LocationColorado Convention Center
Country/TerritoryUnited States
CityDenver
Period06/05/201711/05/2017
Internet address

Keywords

  • Acknowledgement
  • Drone
  • Drone gesture
  • HDI
  • Hri
  • Human-drone interaction
  • Proxemics
  • Quadcopter
  • Uav

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