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To ask or not to ask : a user annoyance aware preference elicitation framework for social robots
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Gucsi, Balint, Tarapore, Danesh S., Yeoh, William, Amato, Christopher and Tran-Thanh, Long (2020) To ask or not to ask : a user annoyance aware preference elicitation framework for social robots. In: International Conference on Intelligent Robots and Systems (IROS 2020), Las Vegas, Nevada, USA, 24-29 Oct 2020. Published in: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ISBN 9781728162133. ISSN 2153-0866. doi:10.1109/IROS45743.2020.9341607
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WRAP-ask-user-annoyance-aware-social-robots-Tran-Thanh-2020 pdf.pdf - Accepted Version - Requires a PDF viewer. Download (1783Kb) | Preview |
Official URL: https://doi.org/10.1109/IROS45743.2020.9341607
Abstract
In this paper we investigate how social robots can efficiently gather user preferences without exceeding the allowed user annoyance threshold. To do so, we use a Gazebo based simulated office environment with a TIAGo Steel robot. We then formulate the user annoyance aware preference elicitation problem as a combination of tensor completion and knapsack problems. We then test our approach on the aforementioned simulated environment and demonstrate that it can accurately estimate user preferences.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Human-robot interaction -- Social aspects, Artificial intelligence | ||||||
| Journal or Publication Title: | 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781728162133 | ||||||
| ISSN: | 2153-0866 | ||||||
| Official Date: | 10 February 2020 | ||||||
| Dates: |
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| DOI: | 10.1109/IROS45743.2020.9341607 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | International Conference on Intelligent Robots and Systems (IROS 2020) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Las Vegas, Nevada, USA | ||||||
| Date(s) of Event: | 24-29 Oct 2020 | ||||||
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