DFKI-LT - How Could We Model Cohesiveness in Team Social Fabric in Human-Robot Teams Performing Under Stress?
How Could We Model Cohesiveness in Team Social Fabric in Human-Robot Teams Performing Under Stress?
Proceedings of the AAAI 2012 Spring Symposium on AI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups, Palo Alto, CA, United States, AAAI , 2012
The paper discusses how a human-robot team can remain “cohesive” while performing under stress. By cohesive the paper understands the ability of the team to operate effectively, with individual members being interdependent-yet-autonomous in carrying out tasks. For a human-robot team, we argue that this requires robots to (1) have an adequate sense of that interde- pendency in terms of the social dynamics within the team, and to (2) maintain transparency towards the human team mem- bers in terms of what it is doing, why, and to what extent it can achieve its (possibly jointly agreed upon) goals. The paper re- ports of recent field experience showing that failure in trans- parency results in reduced acceptability of robot autonomous behavior by the human team members. This reduction in ac- ceptability can have two negative impacts on cohesiveness: Humans and robots fail to maintain common ground, and as a result they fail to maintain trust.
Files: BibTeX, main.teamsocialfabric.aaaiss2012.pdf