Directing human attention with pointing

Wang, Xun, Williams, Mary-Anne, Gardenfors, Peter, Vitale, Jonathan, Abidi, Shaukat, Johnston, Benjamin, Kuipers, Benjamin and Huang, Alan (2014). Directing human attention with pointing. In: Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014. 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014, Edinburgh, United Kingdom, (174-179). 25 - 29 August 2014. doi:10.1109/ROMAN.2014.6926249


Author Wang, Xun
Williams, Mary-Anne
Gardenfors, Peter
Vitale, Jonathan
Abidi, Shaukat
Johnston, Benjamin
Kuipers, Benjamin
Huang, Alan
Title of paper Directing human attention with pointing
Conference name 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014
Conference location Edinburgh, United Kingdom
Conference dates 25 - 29 August 2014
Convener IEEE
Proceedings title Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014
Journal name International Symposium on Robot and Human Interactive Communication
Place of Publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2014
Sub-type Fully published paper
DOI 10.1109/ROMAN.2014.6926249
Open Access Status Not yet assessed
ISBN 978-1-4799-6765-0
978-1-4799-6763-6
ISSN 1944-9445
1944-9437
Start page 174
End page 179
Total pages 6
Language eng
Abstract/Summary Pointing is a typical means of directing a human's attention to a specific object or event. Robot pointing behaviours that direct the attention of humans are critical for human-robot interaction, communication and collaboration. In this paper, we describe an experiment undertaken to investigate human comprehension of a humanoid robot's pointing behaviour. We programmed a NAO robot to point to markers on a large screen and asked untrained human subjects to identify the target of the robots pointing gesture. We found that humans are able to identify robot pointing gestures. Human subjects achieved higher levels of comprehension when the robot pointed at objects closer to the gesturing arm and when they stood behind the robot. In addition, we found that subjects performance improved with each assessment task. These new results can be used to guide the design of effective robot pointing behaviours that enable more effective robot to human communication and improve human-robot collaborative performance.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Mathematics and Physics
 
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