Networked simulations: New paradigms for team performance research

Weaver, Jeanne L.; Bowers, Clint A.; Salas, Eduardo; Cannon‐Bowers, Janis A.

doi:10.3758/bf03203615

Cited by 48 publications

(34 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The prevalence of teams and team-based organizations has made the effectiveness of teams a "vitally important issue". 116 A decade ago, CannonBowers et al 117 concluded from a review of team literature that the import and potential of teams warranted "creative, innovative theoretical and methodological approaches to the study of their design and effectiveness." Yet, the data base in team performance remains small due to methodological challenges in studying teams.…”

Section: Groups and Teams At Workmentioning

confidence: 99%

Computer Technology Applications in Industrial and Organizational Psychology

Crespin

Austin²

2002

CyberPsychology & Behavior

View full text Add to dashboard Cite

This article reviews computer applications developed and utilized by industrial-organizational (I-O) psychologists, both in practice and in research. A primary emphasis is on applications developed for Internet usage, because this "network of networks" changes the way I-O psychologists work. The review focuses on traditional and emerging topics in I-O psychology. The first topic involves information technology applications in measurement, defined broadly across levels of analysis (persons, groups, organizations) and domains (abilities, personality, attitudes). Discussion then focuses on individual learning at work, both in formal training and in coping with continual automation of work. A section on job analysis follows, illustrating the role of computers and the Internet in studying jobs. Shifting focus to the group level of analysis, we briefly review how information technology is being used to understand and support cooperative work. Finally, special emphasis is given to the emerging "third discipline" in I-O psychology research-computational modeling of behavioral events in organizations. Throughout this review, themes of innovation and dissemination underlie a continuum between research and practice. The review concludes by setting a framework for I-O psychology in a computerized and networked world.

show abstract

Section: Groups and Teams At Workmentioning

confidence: 99%

Computer Technology Applications in Industrial and Organizational Psychology

Crespin

Austin²

2002

CyberPsychology & Behavior

View full text Add to dashboard Cite

show abstract

“…On Navy ships, air defense is done in the Combat Information Center (CIC), which contains consoles for activating weapon systems, configuring sensor systems, displaying contact tracks, and communicating with other ships and aircraft. Methodology for modeling such teams has become increasingly sophisticated in recent years (Weaver et al 1995). Figure 1 gives the organization of the 11-person CIC air-defense team on the AEGIS cruiser serving as the Air-Defense Commander for the battle group forces.…”

Section: Introductionmentioning

confidence: 99%

Multi‐Agent Simulation of Human Behavior in Naval Air Defense

Calfee

Rowe

2004

Naval Engineers Journal

View full text Add to dashboard Cite

The AEGIS Cruiser Air-Defense Simulation is a program that models the operations of a Combat Information Center team performing air defense for a U.S. Navy battle group. It uses multi-agent system technology and is implemented in Java. Conceived primarily to assist personnel in air-defense training and doctrine formulation, the simulation provides insight into the factors (skills, experience, fatigue, aircraft numbers, weather, etc.) that influence performance, especially under intense or stressful situations, and the task bottlenecks. It simulates air contacts (aircraft and missiles) as well as the actions and mental processes of the watchstanders. All simulated events are logged, to permit performance analysis and reconstruction for post-scenario training. Validation of the simulation was done with the help of expert practitioners of air defense at the AEGIS Training

show abstract

“…Since judgments and decisions in these tasks are rule based and become routine, few higher level, nonroutine, problem-solving processes are demanded. Weaver et al (1995) already noted that, although these simulations appear quite dynamic, in reality they do not allow for much complexity, since the actions required from the team members are repetitive in nature and their roles are too well defined. Consequently, these low-fidelity simulations do not fully satisfy the mentioned team research needs, since these needs also pertain to higher level, complex problem-solving aspects of team performance (cf.…”

mentioning

confidence: 99%

“…A more recent approach that is positioned between these two ends is the use of low-fidelity simulations: networked multiplayer computer games that reflect reality to a certain degree, but still offer control (Weaver, Bowers, Salas, & Cannon-Bowers, 1995). The past quarter century produced a wealth of low-fidelity networked computer simulations.…”

mentioning

confidence: 99%

“…The past quarter century produced a wealth of low-fidelity networked computer simulations. Consider, for example, the Distributed Dynamic DecisionMaking Simulation (DDD; Kleinman, Serfaty, & Luh, 1984), the Team Interactive Decision Exercise for Teams Incorporating Distributed Expertise (TIDE 2 ; Hollenbeck, Sego, Ilgen, & Major, 1991), the Tactical Navy Decision Making task (TANDEM; Weaver et al, 1995), the Team Performance Assessment Battery (TPAB; see Weaver et al, 1995), Team-Track (Jentsch, Bowers, Compton, Navarro, & Tait, 1996), Argus (Schoelles & Gray, 2001), C3Fire (Granlund, 2002), and the Fire Fighting Team Task (FFTT; Rasker, 2002). All of these tasks are, in essence, monitoring tasks in which targets have to be monitored or detected, and subsequently correctly dealt with.…”

mentioning

confidence: 99%

See 1 more Smart Citation

PLATT: A flexible platform for experimental research on team performance in complex environments

Kamphuis

Essens

Houttuin

et al. 2010

Behavior Research Methods

View full text Add to dashboard Cite

Teams are everywhere. They can accomplish tasks that exceed the capabilities of single individuals. In our age of information, teams have to be able to cope with an increasingly complex world. Large amounts of information, with an often ambiguous and contradictory nature, tax the abilities of teams. They have to be effective in dynamic and unpredictable environments. To complicate matters even more, team members may be geographically dispersed, necessitating the use of technology to communicate with each other.The complexity that present-day teams have to meet requires scientific understanding (see Salas, Cooke, & Rosen, 2008). Research is needed that aims to gain more insight into the present-day factors affecting team effectiveness, in order to contribute to the development of training methods, interventions, and technology to improve their effectiveness. Studies with existing teams in field settings can provide initial insights in the conditional factors of teamwork. In order to test predictions derived from these field studies systematically and to establish causal relationships, more controlled experimentation is necessary. For these studies, experimental team tasks are necessary. On the one hand, these tasks have to embody the complexity that present-day teams face. Only then can relevant processes emerge and be measured. On the other hand, these tasks have to allow a good degree of control. Only then can processes of interest be measured in a systematic way. Hence, there is a complexity-control tradeoff. The present article describes a recently developed task environment that facilitates controlled experimental research on team performance in complex environments: PLATT (the "planning task for teams" 1 ). PREVIOUS RESEARCHTeam researchers have conducted research on both ends of the simplicity-complexity continuum. They have used either simple tasks in highly controllable laboratory experiments or complex tasks in realistic, high-fidelity simulations. As an example of a simple task that has been used for the study of team performance, consider the "winter survival exercise" (Johnson & Johnson, 1987) The present article introduces PLATT, a recently developed task environment for controlled experimental research on team performance in complex environments. PLATT was developed to meet the research demands posed by the complexity that present-day teams face. It consists of a flexible, modular software architecture and research-specific scenarios. The scenarios can target various types of tasks (e.g., planning, problem solving, and decision making) in different operational contexts. Different software configurations can be used to investigate questions pertaining to team structure, team virtuality, and multiteam systems. We describe the software architecture, one of the scenarios, and the broad range of automated and embedded measurement possibilities that PLATT offers. To illustrate PLATT's possibilities, in the present article, we describe a number of experiments that have used PLATT for a variety of research...

show abstract

Networked simulations: New paradigms for team performance research

Cited by 48 publications

References 20 publications

Computer Technology Applications in Industrial and Organizational Psychology

Computer Technology Applications in Industrial and Organizational Psychology

Multi‐Agent Simulation of Human Behavior in Naval Air Defense

PLATT: A flexible platform for experimental research on team performance in complex environments

Contact Info

Product

Resources

About