Connectionists: Deadline extension (February 9) for the HRI-2018 Workshop on *Longitudinal Human-Robot Teaming*

Joachim de Greeff J.deGreeff at tudelft.nl
Fri Jan 19 06:07:48 EST 2018


Due to multiple requests, we have extended the deadline. The new dates are:

*Extended submission deadline: February 9, 2018*
*Acceptance notification:      February 23, 2018*
*Camera-ready deadline:        March 2, 2018*


HRI-2018 Workshop on *Longitudinal Human-Robot Teaming*

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HRI-2018 Workshop -- Longitudinal Human-Robot Teaming
March 5, 2018 -- Chicago, IL, USA
Website: http://bradhayes.info/hri18/
Submission deadline: January 19, 2018
Contact: J.deGreeff at tudelft.nl
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Overview
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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
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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
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* 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 
http://humanrobotinteraction.org/2018/lbr), and should be sent to 
longitudinal.teaming at gmail.com.

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: 
http://bradhayes.info/hri18/



Important dates
=====================================================================
Extended submission deadline:   February 9, 2018
Acceptance notification:        February 23, 2018
Camera-ready deadline:          March 2, 2018
Workshop:			March 5, 2018, 8am to 12.30pm



Organizers
=====================================================================
- 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 (http://tradr-project.eu)

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

http://joachimdegreeff.eu
______________________________________________


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