DFKI-LT - How Could We Model Cohesiveness in Team Social Fabric in Human-Robot Teams Performing Under Stress?

Geert-Jan Kruijff
How Could We Model Cohesiveness in Team Social Fabric in Human-Robot Teams Performing Under Stress?
1 Proceedings of the AAAI 2012 Spring Symposium on AI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups, Palo Alto, CA, USA, 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