Social implications of agent-based planning support for human teams

We present a field trial of how instructions from an intelligent planning agent are dealt with by distributed human teams, in a time-critical task setting created through a mixed-reality game. We conduct interaction analysis to examine video recorded field observations and game log data. The findings highlight the social process by which players interpret and negotiate the agent guidance as well as how these are intertwined with social dynamics of the teams. The insights can be used to develop an understanding of interactional issues around automated team instructions and inform the design of human-centred planning support systems

Implementing Hierarchical Agent-Human Teamworks via Constraint-Based Models

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.The teamwork research defines several important concepts regarding the design of agents so that they are in fact able to play as members of a collaborative group. Currently such research has been focused on multiagent domains, where agents have full autonomy to take decisions. However this model is not common in real applications where humans may wish to be in control for critical decisions. This paper discusses the use of a constraint-based ontology to create models of mixed-initiative interaction for teamworks. Furthermore we show a practical application on how hierarchical users can use this approach during operations in critical domains

Framework For Human-Automation Collaboration: Proj

The Human Automation Collaboration (HAC) researc

Foundations of Trusted Autonomy

Trusted Autonomy; Automation Technology; Autonomous Systems; Self-Governance; Trusted Autonomous Systems; Design of Algorithms and Methodologie