Call for Papers
Fourth International Workshop on Human-Agent Interaction Design and Models (HAIDM 2015)
co-located with AAMAS 2015 (4th of May).
HAIDM 15 is co-organized with the SMARTSOCIETY project funded by the EC under FP7 Future Emerging Technologies programme.
Workshop Goals
As the boundaries of autonomous agents and multi-agent systems continue to expand, there is an increasing need for agents to interact with humans. In fact, the field of multi-agent systems has matured from conceptual models to applications within the real-world (e.g., energy and sustainability, disaster management, or health care). One significant challenge that arises when transitioning these conceptual models to applications is addressing the inevitable human interaction. To this end, this workshop examines major challenges at the intersection of human-agent systems. In particular, we focus on the challenges of designing and modelling human-agent interaction. While the former takes a human-centric view of human-agent systems and focuses on the design of human-agent coordination mechanisms, trust issues in human-agent interaction, interaction techniques, and human activity recognition, the latter is concerned with finding better models of human behaviour in a variety of settings so that autonomous and multi-agent systems can appropriately interact with human agents (e.g., agent-human negotiation strategies or health care agents encouraging physical therapy for a variety of recovering patients).
Topics Covered
– Flexible autonomy – how should the delegation of tasks to agents be performed such that the right degree of autonomy be given to individual agents or teams of such agents to optimise the performance of tasks by a human controller or to support activities of teams of humans interacting with (teams of) agents.
– Trust between humans and agents – when humans delegate tasks to agents or vice-versa, they need to be able to capture the uncertainty in the other party being able to correctly complete tasks or activities. Such uncertainty may be modelled using past interactions (trust) or information gathered from other agents (reputation). Developing effective trust and reputation models and mechanisms for human-agent interaction is therefore key to establishing long term relationships between humans and agents.
– Presentation and interaction techniques – to allow users to understand and modify the actions of large collections of agents as they reason and act on behalf of users.
– Smart society applications including energy systems, ridesharing, healthcare augmentation, disaster response where agents and humans need to cooperate/coordinate to achieve joint objectives to solve problems involving issues of scale, spatial distribution, and heterogeneity in the capabilities available given to the actors in the system.
– Coalition formation and optimisation models involving models of agents and humans.
– Human-Robot Interaction: the design of embodied agents for believability and trust as well as methods for human-robot coordination.
– Crowdsourcing: models, algorithms and techniques for effective problem solving in crowdsourcing including social incentives, micro-payments for micro-tasks, learning about workers and tasks, task allocation, collaborative problem solving and novel applications. The focus should be on combining machine and human intelligence in crowdsourcing.
– Citizen science: the use of agent-based techniques to facilitate citizen scientists to contribute to the solution of scientific problems in platforms such as Zooniverse, Foldit and eBird, including studies of motivation, incentives, quality control and task allocation.
– Use of agent-based coordination algorithms to coordinate humans.
– Enhanced models of human behaviour and theory of human behaviour
– Comparison of approaches in applying models of human behaviour (e.g., bounded rational or psychological models)
– Applications of human behaviour models
– Cooperative and competitive agent-human systems
– Behavioural game theory
– Techniques for learning human behaviour (e.g., machine learning, crowdsourcing, and human computation)
– Benchmarks and evaluation methodologies for evaluating agent-human interactions
– Quantitative and qualitative studies of human-agent interaction (or agent-supported human activities) in the lab, online and in real-world settings
Important Dates
11th February: 23rd February: Submission deadline
10th March: Notifications
19th March: Deadline for Camera-Ready copies
Submission Procedure
Submissions should conform to the LNCS Springer format, Authors are encouraged to use the style file found here or see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0for more details.
Submissions may be of two types:
- Long papers: These are full-length research papers detailing work in progress or work that could potentially be published at a major conference. These should not be more than *16* pages long in the LNCS format above.
- Short papers: These are position papers or demo papers that describe either a project on human-agent systems, an application that has not yet been evaluated, or initial work. These should not be more than *8* pages long (excluding appendices and assuming the LNCS format above).
Authors can submit their papers through the HAIDM 2015 Easychair submission site https://easychair.org/conferences/?conf=haidm15
Programme Committee
Matteo Venanzi University of Southampton
Bo An Nanyang Technological University
Rui Prada INESC-ID and Instituto Superior Técnico, Universidade de Lisboa
David Griol Universidad Carlos III de Madrid, Spain
Vincenzo Maltese University of Trento
Hirotaka Osawa University of Tsukuba
Ariella Richardson Jerusalem College of Technology
Frank Dignum Utrecht University
Michael Rovatsos School of Informatics, The University of Edinburgh
Subramanian Ramamoorthy University of Edinburgh
Heather S. Packer University of Southampton
Jose M. Molina Universidad Carlos III de Madrid
Deborah Richards Macquarie University
Thanh Nguyen University of Southern California
Arlette Van Wissen Utrecht University
George Kampis Eotvos University
David Robertson University of Edinburgh
Robert Loftin North Carolina State University
Nader Hanna Macquarie University
Inon Zuckerman Ariel University Center
Virginia Dignum TU Delft
Amos Azaria Carnegie Mellon University
Ognjen Scekic Vienna University of Technology
Joana Campos Technical University of Lisbon and INESC-ID
Ladislau Boloni University of Central Florida
Daniele Miorandi
Matthew E. Taylor Washington State University
Çetin Meriçli Carnegie Mellon University
Andreadis Pavlos
Daniela Dybalova The University of Nottingham
Simone Fischer-Hübner Karlstad University
Ana Paiva INESC
Claudia Goldman General Motors
Elizabeth Sklar University of Liverpool
Organising Committee
Sarvapali D. Ramchurn, University of Southampton, UK
Avi Rosenfeld, Jerusalem College of Technology, Israel
Kobi Gal, Ben Gurion University, Israel
Ece Kamar, Microsoft Research (Redmond), USA
Joel Fischer, University of Nottingham, UK
SPONSORS
Eric Horvitz is the Director of the Microsoft Research lab at Redmond. Pursuing research on principles of machine intelligence and on leveraging the complementarities of human and machine reasoning. Passionate about harnessing the latest computing advances to provide valuable services.
Human-Agent Interaction Design and Models 