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 |
|---|---|
| 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 |
|---|---|
| Country | New Zealand |
| City | Christchurch |
| Period | 16/3/7 → 16/3/10 |
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Keywords
- Field and service robots
- HRI observational studies
- User study/Evaluation
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Electrical and Electronic Engineering
Cite this
Intent communication in navigation through the use of light and screen indicators. / Shrestha, Moondeep Chandra; Kobayashi, Ayano; Onishi, Tomoya; Uno, Erika; Yanagawa, Hayato; Yokoyama, Yuta; Kamezaki, Mitsuhiro; Schmitz, Alexander; Sugano, Shigeki.
ACM/IEEE International Conference on Human-Robot Interaction. Vol. 2016-April IEEE Computer Society, 2016. p. 523-524 7451837.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Intent communication in navigation through the use of light and screen indicators
AU - Shrestha, Moondeep Chandra
AU - Kobayashi, Ayano
AU - Onishi, Tomoya
AU - Uno, Erika
AU - Yanagawa, Hayato
AU - Yokoyama, Yuta
AU - Kamezaki, Mitsuhiro
AU - Schmitz, Alexander
AU - Sugano, Shigeki
PY - 2016/4/12
Y1 - 2016/4/12
N2 - 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.
AB - 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.
KW - Field and service robots
KW - HRI observational studies
KW - User study/Evaluation
UR - http://www.scopus.com/inward/record.url?scp=84964885751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964885751&partnerID=8YFLogxK
U2 - 10.1109/HRI.2016.7451837
DO - 10.1109/HRI.2016.7451837
M3 - Conference contribution
SN - 9781467383707
VL - 2016-April
SP - 523
EP - 524
BT - ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
ER -