Intent communication in navigation through the use of light and screen indicators

Moondeep Chandra Shrestha, Ayano Kobayashi, Tomoya Onishi, Erika Uno, Hayato Yanagawa, Yuta Yokoyama, Mitsuhiro Kamezaki, Alexander Schmitz, Shigeki Sugano

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

4 Citations (Scopus)

Abstract

Human's ability to perceive intent plays a crucial role in achieving smooth and efficient navigation. At the present state, even with the state-of-the-art anthropomorphic robots, displaying human-like non-verbal communication (kinesics) is a challenging task. This poses a significant difficulty in performing legible navigation behavior for robots. In this paper, we look into light (turn indicator) and screen (arrow indicator) indicators as a means of overcoming the shortcomings of the robot's non-verbal communication abilities. Our results show a statistically significant improvement in perceived comfort, predictability, and performance with the use of light indicators.

Original languageEnglish
Title of host publicationACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages523-524
Number of pages2
Volume2016-April
ISBN (Print)9781467383707
DOIs
Publication statusPublished - 2016 Apr 12
Event11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand
Duration: 2016 Mar 72016 Mar 10

Other

Other11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
CountryNew Zealand
CityChristchurch
Period16/3/716/3/10

Keywords

  • Field and service robots
  • HRI observational studies
  • User study/Evaluation

ASJC Scopus subject areas

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

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  • Cite this

    Shrestha, M. C., Kobayashi, A., Onishi, T., Uno, E., Yanagawa, H., Yokoyama, Y., Kamezaki, M., Schmitz, A., & Sugano, S. (2016). Intent communication in navigation through the use of light and screen indicators. In ACM/IEEE International Conference on Human-Robot Interaction (Vol. 2016-April, pp. 523-524). [7451837] IEEE Computer Society. https://doi.org/10.1109/HRI.2016.7451837