Abstract
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.
Original language | English |
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Title of host publication | IEEE RO-MAN 2014 - 23rd IEEE International Symposium on Robot and Human Interactive Communication |
Subtitle of host publication | Human-Robot Co-Existence: Adaptive Interfaces and Systems for Daily Life, Therapy, Assistance and Socially Engaging Interactions |
Editors | Selma Sabanovic, Rui Loureiro, Yukie Nagai, Aris Alissandrakis, Adriana Tapus, Fumihide Tanaka |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 174-179 |
Number of pages | 6 |
ISBN (Electronic) | 9781479967636 |
DOIs | |
Publication status | Published - 2014 Jan 1 |
Event | 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014 - Edinburgh, United Kingdom Duration: 2014 Aug 25 → 2014 Aug 29 |
Conference
Conference | 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 2014/08/25 → 2014/08/29 |
Subject classification (UKÄ)
- Human Computer Interaction