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 language | English |
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Title of host publication | ACM/IEEE International Conference on Human-Robot Interaction |
Publisher | IEEE Computer Society |
Pages | 523-524 |
Number of pages | 2 |
Volume | 2016-April |
ISBN (Print) | 9781467383707 |
DOIs | |
Publication status | Published - 2016 Apr 12 |
Event | 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand Duration: 2016 Mar 7 → 2016 Mar 10 |
Other
Other | 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 |
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Country | New Zealand |
City | Christchurch |
Period | 16/3/7 → 16/3/10 |
Keywords
- Field and service robots
- HRI observational studies
- User study/Evaluation
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering