SPECIAL NOTICE – CORONAVIRUS (COVID-19)
It is with great disappointment and reluctance that, due to the rapidly evolving COVID-2019 situation, we have decided to cancel HRI 2020. We believe that cancelling the event is in the best interest of the health of our community. We are still solidifying our strategy for a virtual event and will soon send an email with details regarding registration refunds. In the meantime, we sincerely appreciate everyone’s patience.
The HRI conference is a major undertaking by a large number of volunteers. Although we are disappointed that you will not experience the hard work that our amazing team has put into creating a fantastic in-person event, we would like to highlight that the papers and research will still be published and will develop a virtual event to facilitate interaction with other researchers.
Although this is a disappointment for us and must be a disappointment for you, we are hopeful that the pandemic will soon be under control and that we will adapt to new circumstances. HRI is a growing community with topics of great societal interest and impact. We are excited about your long-term involvement in the conference and the community and are looking forward to interacting with you in future events.
Again, we appreciate your patience while we solidify the registration refund and follow-up the virtual representation of our event.
We are looking into hosting pre-recorded videos of presentations. Preliminary details can be found on this page
15th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020)
23-26 March, 2020, Cambridge, UK
The ACM/IEEE International Conference on Human-Robot Interaction is a premier, highly-selective venue presenting the latest advances in Human-Robot Interaction. The 15th Annual HRI conference theme is "Real World Human-Robot Interaction". The conference seeks contributions from a broad set of perspectives, including technical, design, behavioural, theoretical, methodological, and metrological, that advance fundamental and applied knowledge and methods in human-robot interaction. Full papers will be archived in the ACM Digital Library and IEEE Xplore Digital Library.
**Full Papers: Due 1 October 2019**
Hatice Gunes, University of Cambridge, UK
Laurel Riek, University of California San Diego, USA
Financial co-sponsorship by IEEE RAS