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HART 2016 : The 6th Human-Agent-Robot Teamwork Workshop


When Sep 28, 2016 - Sep 30, 2016
Where Klagenfurt, Austria
Submission Deadline Apr 11, 2016
Notification Due Jun 6, 2016
Final Version Due Jun 27, 2016
Categories    teamwork   human agent robot   joint activities   agent technology

Call For Papers

The 6th Human-Agent-Robot Teamwork Workshop (HART 2016)

in conjunction 14th German Conference on Multiagent Systems Technologies (MATES 2016) in Klagenfurt, Austria,
September 28th - 30th, 2016.

===== CALL FOR PAPERS =====

The HART 2016 workshop provides a forum for researchers interested in cooperative activities aka teamwork,
applied to joint human-agent/robot activities or human-agent/robot interaction addressing the challenges of
future teamwork scenarios that are more complex and incorporate agent, robots and humans in a close loop.

===== SCOPE =====

Teamwork has become a widely accepted metaphor for describing the nature of multi-robot and multi-agent
cooperation. By virtue of teamwork models, team members attempt to manage general responsibilities and
commitments to each other in a coherent fashion that both enhances performance and facilitates recovery
when unanticipated problems arise. Whereas early research on teamwork focused mainly on interaction within
groups of autonomous agents or robots, there is a growing interest in leveraging human participation
effectively. Unlike autonomous systems designed primarily to take humans out of the loop, many important
applications require people, agents, and robots to work together in close and relatively continuous
interaction. For software agents and robots to participate in teamwork alongside people in carrying out
complex real-world tasks, they must have some of the capabilities that enable natural and effective
teamwork among groups of people. Just as important, developers of such systems need tools and methodologies
to assure that such systems will work together reliably and safely, even when they have been designed

The purpose of the HART workshop is to explore theories, methods, and tools in support of humans, agents and
robots working together in teams. Position papers that combine findings from fields such as computer science,
artificial intelligence, cognitive science, anthropology, social and organizational psychology, human-computer
interaction to address the problem of HART are strongly encouraged. The workshop will formulate perspectives
on the current state-of-the-art, identify key challenges and opportunities for future studies, and promote
community-building among researchers and practitioners.

The workshop solicits contributions addressing original research on joint human-agent-robot activities,
human-agent-robot teamwork, and human-aware planning. The workshops topics are related to systems of humans and
agents (including robots) in cooperative settings. Thus, the topics of interest cover a variety of fields and
expertises, for example:

- Models of human behaviour and their application to teamwork,
- Collaborative planning and cooperative agent-human systems,
- Human-agent teamwork theories, models, tools, and frameworks,
- Human-aware motion, navigation, task planning,
- Applications on human-robot/agent interaction, and
- Studies on practicial joint human-agent-robot activities.

We welcome submissions that cover theoretical results, methodological contributions, or practical results
illustrating human-agent-robot teamwork applications in the wild (lab, online, real-world).

No special prerequisites are demanded for the target audience. However, participation in the workshop will be
limited, with authors and presenters given priority. All attendees must register for the MATES 2016
conference. This emerging field is inherently inter-disciplinary, thus the workshop brings
together researchers from computer science, artificial intelligence, cognitive science, anthropology,
social and organizational psychology, human-computer interaction.


All accepted papers will be scheduled for oral presentations and will be included in the proceedings of the
MATES 2016. At least one author of each accepted paper is required to register and attend the conference
to present the work.

The submitted paper must be formatted according to the guidelines of the Springer Lecture Notes in Artificial
Intelligence (LNAI) ( Authors are encouraged to use the style files
found there:

- Author Guidelines (
- LNAI LaTeX Template (
- LNAI Word Template (

The submitted papers must be no longer than eight pages in length, including all figures, tables and references.
Authors are requested to submit their papers electronically using the online conference management system
( in PDF format before the deadline (see important dates).
Paper submission is electronic. To submit, please prepare a PDF file of your paper, a short abstract in plain
text, and a list of two to five keywords.

The submission processes will be managed by If you have used this system before, you can use the
same username and password. If this is your first time using EasyChair, you will need to register for an account
by clicking "I have no EasyChair account" button. Upon completion of registration, you will get a notification
email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the
system by the submission due date.

All papers will be reviewed by at least 2 reviewers. Criteria for selection of papers include the relevance to
topics, soundness, overall quality and readability.


Submission April 11th, 2016
Notification June 6th, 2016
Final paper June 27th, 2016
Workshop Sep 28th – 30th, 2016


Please visit for more information or send a mail to

Jeffrey Bradshaw, IHMC, USA
Virginia Dignum, TU Delft, The Netherlands
Johannes Fähndrich, Technische Universität Berlin, Germany
Benjamin Hirsch, EBTIC, Khalifa University, United Arab Emirates
Matthew Johnson, IHMC, USA
Michael Kaisers, Centrum Wiskunde & Informatica, The Netherlands
Marco Lützenberger, Technische Universität Berlin, Germany
Cyrille Martin, University of Grenoble, France

===== ORGANISATION =====
Sebastian Ahrndt
Distributed Artificial Intelligence Laboratory (DAI-Lab)
Technische Universität Berlin

Catholijn M. Jonker
Department of Intelligent Systems
Delft University of Technology

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