Understanding Dual Rover Communications using Social Network Analysis

Abstract

Social network analysis (SNA) refers to the collection of techniques, tools, and methods used in sociometry aiming at the analysis of social networks to investigate decision making, group communication, and the distribution of information. Human factors engineers at the National Aeronautics and Space Administration (NASA) conducted a social network analysis on communication data collected during a 14-day field study operating a dual rover exploration mission. SNA was used to better understand the relationships between certain network groups such as ground control, flight crews, and planetary science. The analysis identified the communication network structure for the continuous communication scenario as being a split network. The major nodes for the networks’ architecture, transmittal status, and information were identified using graphical network mapping, quantitative analysis of subjective impressions, and statistical analysis using Sociometric Statue and Centrality. Post-questionnaire analysis along with interviews revealed advantages and disadvantages of the structure. Concise among all team members identified a need for a more stable network structure with improved robustness of voice loops and better systems training/capabilities for scientific and operational data for all operators.