Network Science for Decision-making: Impact of Distributed Information Quality on Performance of Decision-Making Groups
Abstract
Within tactical networks, communication networks support command and control organizations and social networks by enabling the flow of information. The connectivity and quality of service of the communication network results in a varying degree of mission performance. We consider this problem from a network science perspective, assuming that these networks are comprised of communication, social/cognitive, and information networks; and are characterized by the interactions between these constituent networks. We previously proposed a general framework of human trust in networks that models trust as a composite of reliability and availability of the network services. This work considers the relationship between individual and team decision making and communication networks and how these interactions affect individual and group performance. Through the use of a command and control experiment platform called the Experimental Laboratory for Investigating Collaboration, Information-sharing, and Trust (ELICIT), we study the impact of loss and delay in a distributed server scenario using human-agent models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2011
- Accession Number
- ADA538489
Entities
People
- Brian Rivera
- Kevin C Chan
Organizations
- United States Army Research Laboratory