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================

CALL FOR PAPERS

The 4th International Workshop on Virtual, Augmented, and Mixed Reality for

Human-Robot Interaction (VAM-HRI)

Affiliated with HRI 2021, Virtual

================

ROLLING SUBMISSIONS:

Due to the early registration deadline for HRI being January 31, we have

implemented rolling submissions with updated deadlines. Submissions are open

and will typically take a week for review. Make sure to submit by Jan 20th
if

you want notification by January 30, 2021 UTC-12 before the HRI 2021 early

registration deadline.

Submissions will close February 15, 2021 UTC-12.

VIRTUAL FORMAT:

In order to accommodate various time zones due to the virtual format of the

workshop, we will be splitting the workshop into an “early” and “later”
session

that attendees can attend. All communication during the workshop will take

place on a Slack channel.

DATE:

Workshop: March 8, 2021

WEBSITE:

vam-hri.github.io

================

This year’s VAM-HRI workshop will present an opportunity to build community

within the virtual, augmented, and mixed reality research space as it
relates

to human-robot interaction. The goals of the workshop include networking,

professional development, ideation, and envisioning the future of VAM-HRI
as a

field. Special topics of interest include ethical implications and the
COVID-19

pandemic. In line with this, we encourage submissions to include a Broader

Impact section, which will not be used to judge the quality of the
submission.

These sections will help to inform discussions during the workshop. Papers
will

be reviewed based on their relevance to the workshop’s topics of interests,

potential impact on the field, novelty of the contributing ideas, and
overall

presentation and quality of the submitted article.

VAM-HRI 2021 is looking to follow on the success of the last three years,
and

welcomes contributions on topics including but not limited to:

-  Novel HRI problems that can benefit from AR/VR/MR

-  Intention communication, explanation of behaviors

-  Robot testing and diagnostics

-  Human-subject experimentation

-  Efficient representations for AR/VR/MR interaction patterns

-  AR/VR/MR language grounding

-  AR/VR/MR-augmented natural language generation

-  AR/VR/MR-enabled robot control

-  Architectures for AR/VR/MR-based HRI

-  AR/VR/MR for expanding social interactions

- AR/VR/MR for robot learning

- Ethical issues regarding AR/VR/MR and robotics

- VAM-HRI research during the COVID-19 pandemic

- Accessibility in VAM-HRI

VAM-HRI accepts both FULL PAPERS (5-8 page papers presenting novel work) and

EXTENDED ABSTRACTS (2-4 page papers presenting previous, current, or
proposed

work). References do not count towards total page count. Broader Impact

sections will also not count towards page limit nor affect the paper review.

EXTENDED ABSTRACTS: This track is for submissions such as blue-sky ideas,

position-pieces, and early-stage research projects. Authors are highly

encouraged to include outlines of experiments for which the authors are
seeking

feedback on.

FULL PAPERS: This track is for submissions that are in a more mature state,
and

authors are encouraged to submit work for which they would like feedback to

better polish their work for future conference proceedings. Authors are
highly

encouraged to include preliminary or full experimental results for which

reviewers can give feedback directly on.

Papers will undergo mutual review; as such, authors of submitted papers
will be

expected to provide a small number of reviews for fellow authors.

All accepted papers will be accompanied by talks and/or poster presentations

and will be archived on the workshop website.

Organizing Team

Eric Rosen | Brown University

Thomas Groechel | University of Southern California

Christine T. Chang | University of Colorado Boulder

Michael E. Walker | University of Colorado Boulder

Jessica Zosa-Forde | Brown University

Steering Committee

Tom Williams | Colorado School of Mines

Daniel Szafir | CU Boulder

Tathagatha Chakraborti | IBM Research AI

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