Abstract
Social interaction with a mobile robot requires the establishment of appropriate social positioning behaviors. Previous work has focused mostly on general and static rules that can be applied to robotics, such as proxemics. How can we deal effectively and efficiently with the dynamic positioning common in social interactions, such as the leaning behaviors we observed in conversations between elderly with hearing problems? We propose to refine the existing approach by having a robot continuously adapt its positioning behavior based on the reactions people give to its earlier actions - i.e. by making the robot responsive to feedback cues. To implement such a responsive system, we will have to develop systems for the detection of these feedback cues, as well as strategies to adapt the robot's behavior based on them.
| Original language | English |
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| Title of host publication | HRI '17 Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction |
| Pages | 383-384 |
| Number of pages | 2 |
| ISBN (Electronic) | 978-1-4503-4885-0 |
| DOIs | |
| Publication status | Published - 6 Mar 2017 |
| Event | 12th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017: Smart Interaction - Vienna, Austria Duration: 6 Mar 2017 → 9 Mar 2017 Conference number: 12 http://humanrobotinteraction.org/2017/ |
Conference
| Conference | 12th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 |
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| Abbreviated title | HRI |
| Country/Territory | Austria |
| City | Vienna |
| Period | 6/03/17 → 9/03/17 |
| Internet address |
Keywords
- Social positioning
- Dynamic behavior generation
- Telepresence robots