Team Coordination and Effectiveness in Human-Autonomy Teaming

被引:44
作者
Demir, Mustafa [1 ]
Likens, Aaron D. [2 ]
Cooke, Nancy J. [1 ]
Amazeen, Polemnia G. [2 ]
McNeese, Nathan J. [3 ]
机构
[1] Arizona State Univ, Human Syst Engn, Mesa, AZ 85212 USA
[2] Arizona State Univ, Dept Psychol, Tempe, AZ 85287 USA
[3] Clemson Univ, Human Centered Comp, Clemson, SC 29634 USA
基金
美国国家科学基金会;
关键词
Human-autonomy teaming; nonlinear dynamical systems; synthetic agent; team coordination; LYAPUNOV EXPONENTS; RECURRENCE PLOTS; TIME-SERIES; SYSTEMS; AUTOMATION; COGNITION; DYNAMICS; COMMAND;
D O I
10.1109/THMS.2018.2877482
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the past, team coordination dynamics have been explored using nonlinear dynamical systems (NDS) methods, but the relationship between team coordination dynamics and team performance for all-human teams was assumed to he linear. The current study examines team coordination dynamics with an extended version of the NDS methods and assumes that its relationship with team performance for human-autonomy teams (HAT) is nonlinear. In this study, three team conditions are compared with the goals of better understanding how team coordination dynamics differ between all-human teams and HAT and how these dynamics relate to team performance and team situation awareness. Each condition was determined based on manipulation of the pilot role: in the first condition (synthetic) the pilot role was played by a synthetic agent, in the second condition (control) it was a randomly assigned participant, and in the third condition (experimenter) it was an expert who used a role specific coordination script. NDS indices revealed that synthetic teams were rigid, followed by experimenter teams, who were metastable, and control teams, who were unstable. Experimenter teams demonstrated better team effectiveness (i.e., better team performance and team situation awareness) than control and synthetic teams. Team coordination stability is related to team performance and team situation awareness in a nonlinear manner with optimal performance and situation awareness associated with metastability coupled with flexibility. This result means that future development of synthetic teams should address these coordination dynamics, specifically, rigidity in coordination.
引用
收藏
页码:150 / 159
页数:10
相关论文
共 53 条
[1]  
Abarbanel H.D.I., 1996, Analysis of Observed Chaotic Data
[2]   What'd You Say Again? Recurrence Quantification Analysis as a Method for Analyzing the Dynamics of Discourse in a Reading Strategy Tutor [J].
Allen, Laura K. ;
Perret, Cecile ;
Likens, Aaron ;
McNamara, Danielle S. .
SEVENTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE (LAK'17), 2017, :373-382
[3]  
[Anonymous], 2005, HDB HUMAN FACTORS ER
[4]  
[Anonymous], 1988, ADV PSYCHOL
[5]  
[Anonymous], 2007, CAN HUMAN MIND OCCUR, DOI DOI 10.1093/ACPROF:OSO/9780195324259.001.0001
[6]  
[Anonymous], 2004, NONLINEAR TIME SERIE, DOI DOI 10.1017/CBO9780511755798
[7]   The synthetic teammate project [J].
Ball, Jerry ;
Myers, Christopher ;
Heiberg, Andrea ;
Cooke, Nancy J. ;
Matessa, Michael ;
Freiman, Mary ;
Rodgers, Stuart .
COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, 2010, 16 (03) :271-299
[8]  
Coco M.I., 2015, crqa: Cross-Recurrence Quantification Analysis for Categorical and Continuous Time-Series (Version 1.0.6)
[9]  
Cooke N.J., 2016, N000141110844 COGN E
[10]  
Cooke N.J., 2007, Acquisition and Retention of Team Coordination in Command-and-Control