Steps Towards Satisficing Distributed Dynamic Team Trust
This addresses the challenge of establishing usable trust metrics for human-robot teams in critical domains, but it is incremental as it builds on existing trust concepts without presenting new empirical results.
The paper tackles the problem of defining and measuring trust in dynamic multiagent teams, particularly for defense and security, by proposing interpretable metrics based on goals, values, and legal principles, and suggests an experiment to demonstrate 'satisficing trust' in simulated missions.
Defining and measuring trust in dynamic, multiagent teams is important in a range of contexts, particularly in defense and security domains. Team members should be trusted to work towards agreed goals and in accordance with shared values. In this paper, our concern is with the definition of goals and values such that it is possible to define 'trust' in a way that is interpretable, and hence usable, by both humans and robots. We argue that the outcome of team activity can be considered in terms of 'goal', 'individual/team values', and 'legal principles'. We question whether alignment is possible at the level of 'individual/team values', or only at the 'goal' and 'legal principles' levels. We argue for a set of metrics to define trust in human-robot teams that are interpretable by human or robot team members, and consider an experiment that could demonstrate the notion of 'satisficing trust' over the course of a simulated mission.