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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, 25-29 Oct 2020. Published in: Proceedings of the 33rd IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020 (In Press)

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Item Type: Conference Item (Paper)
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: Proceedings of the 33rd IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020
Publisher: IEEE
Official Date: 30 June 2020
Dates:
DateEvent
30 June 2020Accepted
Date of first compliant deposit: 3 September 2020
Status: Peer Reviewed
Publication Status: In Press
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: 25-29 Oct 2020
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