HAIDM 2016 - Fifth International Workshop on Human-Agent Interaction (HAIDM)

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
Models of Human Behaviour: this may include studies drawing the behavioural game theory literature or solutions that attempt to model human response in collaborative and competitive relationships with agents/robots.
Systems of Humans and Agents (incl. Robots): systems that interleave humans and agents in flexible relationships and teams. This may include interactions with autonomous vehicles, robots, and software agents in both cooperative and strategic settings.
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.
We welcome contributions that cover:
Theoretical results,
Methodological contributions,
Quantitative and qualitative studies of human-agent interaction (or agent-supported human activities) in the lab, online and in real-world settings
The HAIDM workshop, now in its fifth year, brings together a vibrant community of researchers interested in modeling human behavior as well as improving agent designs for interacting with people. This is the first instalment of HAIDM at IJCAI.