Learning from Users: An Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures

Justin W. Firestone, Rubi Quiñones, Brittany A. Duncan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a gesture set for communicating states to novice users from a small Unmanned Aerial System (sUAS) through an elicitation study comparing gestures created by participants recruited from the general public with varying levels of experience with an sUAS. Previous work in sUAS flight paths sought to communicate intent, destination, or emotion without focusing on concrete states such as Low Battery or Landing. This elicitation study uses a participatory design approach from human-computer interaction to understand how novice users would expect an sUAS to communicate states, and ultimately suggests flight paths and characteristics to indicate those states. We asked users from the general public (N=20) to create gestures for seven distinct sUAS states to provide insights for human-drone interactions and to present intuitive flight paths and characteristics with the expectation that the sUAS would have general commercial application for inexperienced users. The results indicate relatively strong agreement scores for three sUAS states: Landing (0.455), Area of Interest (0.265), and Low Battery (0.245). The other four states have lower agreement scores, however even they show some consensus for all seven states. The agreement scores and the associated gestures suggest guidance for engineers to develop a common set of flight paths and characteristics for an sUAS to communicate states to novice users.

Original languageEnglish (US)
Title of host publicationHRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages163-171
Number of pages9
ISBN (Electronic)9781538685556
DOIs
StatePublished - Mar 22 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: Mar 11 2019Mar 14 2019

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2019-March
ISSN (Electronic)2167-2148

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
CountryKorea, Republic of
CityDaegu
Period3/11/193/14/19

Fingerprint

Taxonomies
Antennas
Flight paths
Flight dynamics
Landing
Human computer interaction
Concretes
Engineers

Keywords

  • Communication
  • Elicitation Study
  • User Design
  • sUAS

ASJC Scopus subject areas

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

Cite this

Firestone, J. W., Quiñones, R., & Duncan, B. A. (2019). Learning from Users: An Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures. In HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction (pp. 163-171). [8673010] (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/HRI.2019.8673010

Learning from Users : An Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures. / Firestone, Justin W.; Quiñones, Rubi; Duncan, Brittany A.

HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2019. p. 163-171 8673010 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Firestone, JW, Quiñones, R & Duncan, BA 2019, Learning from Users: An Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures. in HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction., 8673010, ACM/IEEE International Conference on Human-Robot Interaction, vol. 2019-March, IEEE Computer Society, pp. 163-171, 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019, Daegu, Korea, Republic of, 3/11/19. https://doi.org/10.1109/HRI.2019.8673010
Firestone JW, Quiñones R, Duncan BA. Learning from Users: An Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures. In HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society. 2019. p. 163-171. 8673010. (ACM/IEEE International Conference on Human-Robot Interaction). https://doi.org/10.1109/HRI.2019.8673010
Firestone, Justin W. ; Quiñones, Rubi ; Duncan, Brittany A. / Learning from Users : An Elicitation Study and Taxonomy for Communicating Small Unmanned Aerial System States Through Gestures. HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2019. pp. 163-171 (ACM/IEEE International Conference on Human-Robot Interaction).
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