Using the Neocities 3.1 simulation to study and measure team cognition

2010 ◽  
Author(s):  
Katherine Hamilton ◽  
Vincent Mancuso ◽  
Dev Minotra ◽  
Rachel Hoult ◽  
Susan Mohammed ◽  
...  
Keyword(s):  
Team Cognition

Perceived Mutual Understanding (PMU)

2019 ◽  
Vol 35 (1) ◽  
pp. 98-108 ◽  
Author(s):  
Michael J. Burtscher ◽  
Jeannette Oostlander
Keyword(s):  
Mutual Understanding ◽  
Team Cognition ◽  
Internal Reliability ◽  
Confirmatory Factor Analyses ◽  
Team Processes ◽  
One Dimensional ◽  
Item Parameters ◽  
Three Samples ◽  
Confirmatory Factor ◽  
The Individual

Abstract. Team cognition plays an important role in predicting team processes and outcomes. Thus far, research has focused on structured cognition while paying little attention to perceptual cognition. The lack of research on perceptual team cognition can be attributed to the absence of an appropriate measure. To address this gap, we introduce the construct of perceived mutual understanding (PMU) as a type of perceptual team cognition and describe the development of a respective measure – the PMU-scale. Based on three samples from different team settings ( NTotal = 566), our findings show that the scale has good psychometric properties – both at the individual as well as at the team-level. Item parameters were improved during a multistage process. Exploratory as well as confirmatory factor analyses indicate that PMU is a one-dimensional construct. The scale demonstrates sufficient internal reliability. Correlational analyses provide initial proof of construct validity. Finally, common indicators for inter-rater reliability and inter-rater agreement suggest that treating PMU as a team-level construct is justified. The PMU-scale represents a convenient and versatile measure that will potentially foster empirical research on perceptual team cognition and thereby contribute to the advancement of team cognition research in general.

Team Cognition: Antecedents and Outcomes of Schema Agreement and Accuracy

2005 ◽  
Author(s):  
Paul R. Heintz ◽  
Debra Steele-Johnson ◽  
Joan R. Rentsch
Keyword(s):  
Team Cognition

scholarly journals EXPLORING THE ROLE OF TRANSACTIVE MEMORY SYSTEMS IN TEAM DECISION-MAKING DURING IDEATION PHASE

2021 ◽  
Vol 1 ◽  
pp. 1529-1536
Author(s):  
Mohammad Reza Dastmalchi ◽  
Bimal Balakrishnan ◽  
Danielle Oprean
Keyword(s):  
Digital Media ◽  
Memory Systems ◽  
Transactive Memory ◽  
Design Teams ◽  
Team Cognition ◽  
Team Members ◽  
Media Type ◽  
Design Collaboration ◽  
Wide Range ◽  
Communication Modes

AbstractTeam collaboration is a critical necessity of the modern-day engineering design profession. This is no surprise given that teams typically possess more task-relevant skills and knowledge than individuals (Levine & Choi, 2004). Advancements in digital media provide new opportunities for collaboration across the design lifecycle. However, early stages of the design process still pose challenges to digitally mediated design collaboration due to greater representational abstraction and the presence of multiple modalities for design ideation. Usually, design teams spend a substantial amount of time generating a broad set of ideas that can lead them to a wide range of design solutions during the ideation phase. However, sooner or later, teams should narrow down their vision for a final solution. What factors influence team members to eliminate or select an idea? Our study is an attempt to demonstrate some examples of this challenge. By drawing on research in team cognition, particularly the concept of transactive memory system (TMS) we studied a design teams' communication and media use during the ideation phase. The goal was to see if media type and communication modes can predict a team's decisions on selecting and eliminating ideas.

scholarly journals Toward a better understanding of team decision processes: combining laboratory experiments with agent-based modeling

2021 ◽  
Author(s):  
Iris Lorscheid ◽  
Matthias Meyer
Keyword(s):  
Laboratory Experiment ◽  
Mixed Method ◽  
Agent Based Modeling ◽  
Decision Processes ◽  
Mixed Method Research ◽  
Team Cognition ◽  
Agent Based Model ◽  
Agent Based ◽  
Individual Level ◽  
Team Decision

AbstractDespite advances in the field, we still know little about the socio-cognitive processes of team decisions, particularly their emergence from an individual level and transition to a team level. This study investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. First, the laboratory experiment generates data about individual and team cognition structures. Then, the agent-based model is used as a computational testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions. Overall, we contribute to the current literature by presenting an innovative mixed-method approach that opens and exposes the black box of team decision processes beyond well-known static attributes.

Team Cognition: Coordination across Individuals and Machines

2013 ◽  
Author(s):  
Patricia Bockelman Morrow ◽  
Stephen M. Fiore
Keyword(s):  
Team Cognition

scholarly journals Developing Team Cognition

2017 ◽  
Vol 12 (2) ◽  
pp. 96-103 ◽  
Author(s):  
Rosemarie Fernandez ◽  
Sachita Shah ◽  
Elizabeth D. Rosenman ◽  
Steve W. J. Kozlowski ◽  
Sarah Henrickson Parker ◽  
...  
Keyword(s):  
Team Cognition
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