Late Breaking Reports

The Late-Breaking Reports (LBR) venue at HRI provides authors with the opportunity to present early-stage results and new ideas on exciting cutting-edge and experimental research. LBRs are an excellent opportunity for researchers new to the field to participate in the conference.

The 18th Annual HRI conference theme is “HRI for all.” We encourage the community to consider ways to both make the field a more inclusive place for those who may not feel included, as well as to encourage inclusion within our research methods and practices. Thus we strongly welcome submissions that address this year’s theme, “HRI for all.”

All LBR​ ​submissions will undergo blind peer-review and accepted LBRs will be published in the​ ​companion proceedings of the conference. These proceedings will appear in both the​ ​ACM Digital Library and IEEE Xplore. LBRs will be presented during the main conference. The final format for the presentation will be communicated in January 2023.

LBRs should be 2-4 pages long (excluding references).

Important Dates

  • December 7th, 2022 (23:59 AoE): Submission Deadline
  • January 10th, 2023: Notification of Acceptance
  • January 16th, 2023: Camera-ready Papers Due

Submission Instructions

Authors must submit their Late-Breaking Reports as a 2 to 4-page article, excluding references (which do not count towards submission length). Papers should conform to the general ACM SIG format (“sigconf”, double column format). Templates are available at this link (US letter).

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 Late-Breaking Reports should be “camera-ready” at the time of submission (i.e., proofread, spell-checked, etc.). Non-conforming submissions are candidates for instant rejection.

Submission Accessibility

The PDF format can have major accessibility problems, especially for screen reader users. In order to support those among us who need accessible PDFs, HRI is working to improve the accessibility of our PDF proceedings and review process. We are asking all authors to make an effort to make their LBR submissions more accessible at every point in the submission process, similar to how full papers are now being made accessible as well.

As you prepare your document, please follow these steps from the SIGCHI Guide to an Accessible Submission, then refer to the guide for information on how to prepare the final accessible PDF:

  1. Mark up content such as headings and lists using the correct Word template style or LaTeX markup.
  2. In figures, legends, and the text that refers to the figures, ferent shapes and patterns to provide a means other than color to visually distinguish elements.
  3. Provide a text description for all figures (see the SIGACCESS Guide to Describing Figures).
  4. Create every table as a real table, not an image, and indicate which cells are headers.
  5. Create every equation as a marked-up equation, not an image.
  6. Set the metadata of your document.

If you are a LaTeX user, please be aware that you may run into challenges with generating an accessible PDF; we ask that you do your best but understand that it may not be possible to generate a fully accessible PDF from LaTeX. You can do a rudimentary check of your PDF’s accessibility using Adobe Reader’s Read Out Loud tool and Apple’s built-in reading tool, but be aware that these are not full-featured screen readers and will not check all key accessibility features.

If you have questions or need assistance, please contact the conference accessibility chairs at accessibility2023@humanrobotinteraction.org.

Peer Review Process

Late-Breaking Reports will be reviewed using a mutual blind peer review process. To ensure that all authors receive feedback on their work and to help invigorate the HRI community, at least one author of each LBR submission must agree to review two other LBRs. Reviews will consist of a brief questionnaire regarding the quality and relevance of the work submitted.

Late-Breaking Reports Chairs

Harold Soh, National University of Singapore

Stefanos Nikolaidis, University of Southern California

Marynel Vázquez, Yale University

Contact: lbr2023@humanrobotinteraction.org