[robotics-worldwide] [meetings] Final CFP for alt.HRI at HRI 2019

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[robotics-worldwide] [meetings] Final CFP for alt.HRI at HRI 2019

Jim Young
(apologies for cross-posting)

CALL FOR PARTICIPATION
=============================
ACM/IEEE International Conference on Human Robot Interaction
alt.HRI track
=============================
– December 1: Submission Deadline
– December 22: Notification of Acceptance
-- January 15: Final Camera Ready Deadline

alt.HRI invites high-quality submissions that push the boundaries of
human-robot interaction research and that have high potential for impact.
The goal for alt.HRI is to broaden the scope of high quality research
presented at HRI 2019. With this in mind, alt.HRI aims to be inclusive of
perspectives and methodologies relevant to HRI but perhaps less commonly
seen at the annual HRI conference, particularly strong HRI-related work
from other fields. We also invite thought-provoking work that might not
otherwise be featured at the conference because it transcends established
contribution criteria.

alt.HRI contributions are
– radical: they push the envelope, take risks, and complement the work seen
in the main tracks of the conference by providing new, innovative
perspectives and approaches to HRI
– relevant: they inspire broad interest in the HRI community and are timely
– rigorous: they are high-quality, well argued and supported contributions

Submissions will be rigorously peer reviewed, in a double-blind fashion, by
an expert alt.HRI program committee.

alt.HRI Review criteria include:
– is the work compelling and relevant to an open-minded HRI audience?
– is there potential for impact, controversy, or thought provoking
discussion, even if the work seems unorthodox?
– is the work rigorous, accepting that ‘rigor’ may fall outside of what is
typically published in HRI? Is the work well researched, well argued, well
written, well implemented, and fully detailed?
– does the work belong in alt.HRI and not an existing HRI track?

Papers must be submitted via PCS (https://urldefense.proofpoint.com/v2/url?u=https-3A__new.precisionconference.com_hri&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hO95ioNpD0eaRH3gtusFd_qzLuOCIFizlwXDNGOOU8g&s=9AV4BaZl8ozPlPSmN5q3cAhqczeDqLvwKc8xkxAFzUA&e=).

Accepted papers will be *orally presented* in the main program and will be
archived in the ACM Digital Library and IEEE Xplore Digital Library.
Authors of accepted papers are required to attend the conference to present
their paper in order for it to be included in the proceedings. Up to eight
anonymized, camera ready pages in the IEEE format (
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ieee.org_conferences-5Fevents_conferences_publishing_templates.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hO95ioNpD0eaRH3gtusFd_qzLuOCIFizlwXDNGOOU8g&s=8TWVgw30wjMQWylRTCr30-1Eu5UKMMoW-SuCxQVTdUk&e=),
excluding references, are allowed for each paper. alt.HRI 2019 will follow
a double-blind review process, and authors must follow the HRI guidelines
for anonymizing submissions (
https://urldefense.proofpoint.com/v2/url?u=http-3A__humanrobotinteraction.org_2019_authors_submission-2Dguides_guidelines-2Dfor-2Danonymizing-2Dsubmissions_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hO95ioNpD0eaRH3gtusFd_qzLuOCIFizlwXDNGOOU8g&s=K6nG_S8UxuIkRdjTbKcIs5kyHDLIbn4UvKAftmASsPs&e=
).

Submission Topics
==============

alt.HRI encourages the following types of submissions. This is not an
exhaustive list.

- Core work from complementary disciplines. We invite submissions relevant
to HRI from researchers in neighboring disciplines and areas, including
(but not limited to), sociology, philosophy, robotics and algorithms,
gender studies, ethics, law, and others.

- Critical HRI. This includes speculative design proposals to challenge
current assumptions, as well as conceptions about the role that robots play
in society and everyday life. We invite thought provoking work and work
that questions current approaches and thinking.

- Learning from Small Samples. Rare and unusual experiences and instances
can sometimes prove to demonstrate interesting and relevant phenomena. For
example, more is often learned from a single near accident (air, car,
nuclear) than years of smooth operation.

We invite papers that richly describe and theorize from such rich cases in
HRI: single instances, outliers, exceptional cases, or small samples that
nevertheless provide important insights and valuable lessons.

- Best Practices in HRI Research and Design. Insightful reflection on best
practices for HRI, sharing key lessons learned in research and design.
Papers may describe specific techniques for prototyping and developing HRI
systems, or designing and conducting laboratory studies. Best practice
papers provide non-obvious insights that would prove valuable to other HRI
researchers.

- Reflections on HRI. Position papers that reflect on the field of HRI, its
history, and trajectory. We invite constructive reflections on past,
present, and future HRI practice and standards. Reflections papers may also
put a spotlight on the unique challenges faced by HRI researchers.

- Novel Robotic Designs and Implementations. Quality implementations of
highly innovative designs and implementations that are provocative and
inspiring. This includes reports on robots that have inspiring, nonobvious,
and novel technical capabilities, communication approaches, morphologies,
or designs.

ALT.HRI CHAIRS
=============

Friederike Eyssel, Bielefeld University, Germany
Selma Šabanović, Indiana University, USA
James Young, University of Manitoba, Canada
[hidden email]


--
James E. Young, PhD
Associate Professor
Department of Computer Science, University of Manitoba
Winnipeg, Manitoba, R3T 2N2
E-mail: [hidden email]
URL: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.cs.umanitoba.ca_-7Eyoung_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hO95ioNpD0eaRH3gtusFd_qzLuOCIFizlwXDNGOOU8g&s=GusrBXTfbKxLDN6kiPCyLN9Bs9uk5xXdDeyQfCcOoYY&e=
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