[robotics-worldwide] [meetings] 2nd CFP: HRI-2018 Workshop on *Longitudinal Human-Robot Teaming*

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[robotics-worldwide] [meetings] 2nd CFP: HRI-2018 Workshop on *Longitudinal Human-Robot Teaming*

Joachim de Greeff
* Apologies for cross postings *

HRI-2018 Workshop -- Longitudinal Human-Robot Teaming
March 5, 2018 -- Chicago, IL, USA
Website: https://urldefense.proofpoint.com/v2/url?u=http-3A__bradhayes.info_hri18_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hA1GVB6BBcyfcSK_Jlfv59K-i253I05wRL2BCCqRqlY&s=6FbwJ3Qop-FwJpGXTz2pQJj96LsXiaphI-_1A1Cj5mM&e=
Submission deadline: January 19, 2018
Contact: [hidden email]

As robots that share working and living environments with humans
proliferate, Human-Robot Teaming (HRT) is becoming more relevant every
day. HRT does not happen in just one moment, but extends and develops
over time. Long-term joint activity is bound to face changes in the
environment, possibly changes in the (structure of) the team and/or in
the way that tasks are performed and in the expectations that team
members have of each other and their teaming. As a team faces different
situations it accumulates experience and this allows it to grow.

Longitudinal HRT, i.e. teaming which develops over time, is still
relatively under-explored as most studies of HRT focus on teaming which
happens in the “now”. For many domains however, the notion of changes
over time is very relevant. Examples include disaster response, public
safety, education, and manufacturing, but also emerging fields such as
autonomous vehicles. So, how do robots and other artificial agents deal
with teamwork from a long-term perspective? How to enable them to track
experience in changing conditions, learn from it and adapt to new
situations? Models of HRT need to incorporate the time dimension to
allow cooperation dynamics to be shaped by a changing environment.
Development over time brings about various levels of uncertainty, as
many real-life situations are only predictable up to a certain point.
Thus, uncertainty poses additional challenges for sustaining effective
teaming between humans and robots. Uncertainty can also exist in the
spatial environment in which teamwork takes place, and in the
interaction between team-members.

Topics of interest
Topics include, but are not limited to:
- Dealing with changes over time (e.g. task and team structures, goals, etc)
- Dealing with uncertainty about the environments (both spatial and social)
- Learning and adaptation over time to become an effective team-member
- Learning capability boundaries of an autonomous system for optimized
task division
- Learning user models over time for enabling personalized interaction
- Joint activity planning under uncertainty
- Designing for long-term interdependence within human-robot teams
- Understanding, modeling, and shaping long-term team dynamics in mixed
human-robot teams
- Collaborator action and sustainable preference modeling
- Generating verbal and non-verbal acts for management and coordination
of team activities developing over time
- Leveraging human-robot interaction to request assistance or to recover
from failure modes

Keynote Speaker
* Robin Murphy *
Raytheon Professor of Computer Science and Engineering at Texas A&M
University and Director of TEES Center for Robot-Assisted Search and
Rescue (CRASAR) and the Center for Emergency Informatics

Submission details
We will accept contributed papers as either extended abstracts/short
papers (2-4 pages), industry white papers (2 pages), position papers (up
to 8 pages), or technical papers (up to 8 pages). Each paper will be
assigned two reviewers that will evaluate the submission based on
significance, technical quality, and relevance. All papers should be
submitted in PDF format using the HRI LBR template (see
https://urldefense.proofpoint.com/v2/url?u=http-3A__humanrobotinteraction.org_2018_lbr&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hA1GVB6BBcyfcSK_Jlfv59K-i253I05wRL2BCCqRqlY&s=alDF4pfSpUDMmV3mi7CHmnxEtRsBiyAN0oIf4E94NNE&e=), and should be sent to
[hidden email].

All submitted papers within the scope of the workshop will be
peer-reviewed. Papers will be selected based on their originality,
relevance, contributions, technical clarity, and presentation. Accepted
papers will require that at least one author registers for and attends
the workshop.

Details are available on the workshop’s website:

Important dates
Submission deadline: January 19, 2018
Acceptance notification: February 2, 2018
Camera-ready deadline: February 16, 2018
Workshop: March 5, 2018, 8am to 12.30pm

- Joachim de Greeff, Delft University of Technology, the Netherlands
- Jurriaan van Diggelen, TNO the Netherlands, the Netherlands
- Bradley Hayes, University of Colorado Boulder, USA
- Ivana Kruijff-Korbayová, DFKI, Germany

Program Committee:
- Koen Hindriks, Delft University of Technology, the Netherlands
- Matthew Johnson, IHMC, USA
- Catholijn Jonker, Delft University of Technology, the Netherlands
- Mark Neerincx, Delft University of Technology/TNO, the Netherlands
- Matthew Gombolay, Georgia Institute of Technology, the Netherlands
- Melissa Cefkin, Nissan USA, the Netherlands
- Joachim de Greeff, Delft University of Technology, the Netherlands
- Jurriaan van Diggelen, TNO Human Factors, the Netherlands
- Bradley Hayes, University of Colorado Boulder, USA
- Ivana Kruijff-Korbayova, DFKI, Germany


Dr Joachim de Greeff - Postdoctoral researcher
EU FP7 TRADR project (https://urldefense.proofpoint.com/v2/url?u=http-3A__tradr-2Dproject.eu&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=hA1GVB6BBcyfcSK_Jlfv59K-i253I05wRL2BCCqRqlY&s=zg8ScT9_Cg5vZ8KG94kjqKEaHg86PZKqcOXgt-CL1B4&e=)

Interactive Intelligence group
Delft University of Technology
EWI / EEMCS - room HB 12.240
Mekelweg 4, 2628 CD, Delft
Delft, The Netherlands

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