AUTHORS

LATE-BREAKING REPORTS

The 15th Annual ACM/IEEE HRI Conference theme is “Real World Human-Robot Interaction”. Researchers from across the world present their best work to HRI to exchange ideas about the theory, technology, data, and science furthering the state-of-the-art in human-robot interaction. The Late-Breaking Reports (LBR) venue at HRI provides authors with the opportunity to present their work and receive feedback over exciting cutting-edge and experimental research to the community. It is also an excellent opportunity for researchers new to the field to participate in the conference.

All LBR​ ​submissions will undergo blind peer-review and will be published in the​ ​companion proceedings of the conference, which will appear in both the​ ​ACM Digital Library and IEEE Xplore. LBRs will be​ ​presented at a poster session during the main conference.

IMPORTANT DATES

December 10, 2019: Submission deadline
January 3, 2020: Notification of acceptance
January 8, 2020: Final camera-ready deadline

SUBMISSION INSTRUCTIONS

Authors must submit their LBRs as a 2-page article (excluding references, which do not count towards submission length). Please note that we are following the general ACM SIG format, not the SIGCHI format. Authors should use the sample-sigconf.tex or interim_layout.docx template files. In addition, the ACM has partnered with Overleaf, where authors can start writing using this link directly. (Note, despite previous announcements, we will not be moving to the new ACM workflow this year).

Authors are encouraged to consult prior years’ submissions to understand the scope and focus of LBR submissions and can find further guidelines about the HRI conference at the main conference website. Submit your paper through the “paper submission and review” website. Publications should be fully anonymized at the time of submission. For additional information, authors may refer to the main conference anonymization guidelines. Due to a tight publication deadline with the publisher, all submitted abstracts should be “camera-ready” at the time of submission (i.e., proofread, spell-checked, etc.).

PEER REVIEW PROCESS

Similar to previous years, LBRs will be reviewed using a mutual blind peer review process to ensure all authors receive feedback on their work and to help encourage and invigorate the HRI community. This means that at least one author of each LBR submission must agree to review two other LBRs. Submissions will also receive an additional review from an external reviewer to broaden the scope of LBR feedback. Reviews will consist of a single paragraph and a brief questionnaire regarding the quality and relevance of the work submitted.

Late-Breaking Reports Chairs

Daniel Szafir (University of Colorado Boulder, USA)
Daniel J. Rea (University of Manitoba, Canada)
Patrícia Alves-Oliveira (ISCTE-IUL, INESC-ID, Cornell University, Portugal and the US)
lbr2020@humanrobotinteraction.org