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The Influence of Shared Mental Models on Team Process and Performance

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Abstract

The influence of teammates' shared mental models on team processes and performance was tested using 56 undergraduate dyads who "flew" a series of missions on a personal-computer-based flight-combat simulation. The authors both conceptually and empirically distinguished between teammates' task- and team-based mental models and indexed their convergence or "sharedness" using individually completed paired-comparisons matrices analyzed using a network-based algorithm. The results illustrated that both shared-team- and task-based mental models related positively to subsequent team process and performance. Furthermore, team processes fully mediated the relationship between mental model convergence and team effectiveness. Results are discussed in terms of the role of shared cognitions in team effectiveness and the applicability of different interventions designed to achieve such convergence. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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John Mathieu
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Friar Chair in Leadership & Teams
Management Department, University of Connecticut
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... Some research indicates that shared mental models foster the strong team cohesion necessary for the innovation process. Mental models enable individuals to interact in an environment (Mathieu, Heffner, Goodwin, Sala, & Cannon-Bowers, 2000). The benefit of teams sharing common mental models is that if a team must adapt quickly, there is a basis of knowledge on what teammates might do in the situation that enables everyone to know how to react in a way that would complement the rest of the team (Mathieu et al., 2000). ...
... Mental models enable individuals to interact in an environment (Mathieu, Heffner, Goodwin, Sala, & Cannon-Bowers, 2000). The benefit of teams sharing common mental models is that if a team must adapt quickly, there is a basis of knowledge on what teammates might do in the situation that enables everyone to know how to react in a way that would complement the rest of the team (Mathieu et al., 2000). As a result of employing shared mental models, teams can adapt and achieve high productivity levels (Santos, Uitdewilligen, & Passos, 2015). ...
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Higher education institutions recognize that today’s problems are too complex to be conceptualized by a single discipline and are becoming increasingly committed to interdisciplinary work, as evidenced by the increasing number of interdisciplinary departments, internal funding opportunities, and research centers. Despite the widespread popularity and theorized benefits of interdisciplinary work, there is minimal research on predictors of team innovation of university-based interdisciplinary teams. To fill this gap in the literature, the authors developed and tested a comprehensive model of interdisciplinary team innovation. The results suggest that members of teams that had a shared vision, were task-oriented, and embraced debate, perceived their teams as innovative. Cognitively diverse teams that were task oriented, on the other hand, had higher team innovation performance. Lessons learned from this study are useful for all organizations that engage in interdisciplinary work and those professionals who work or advise interdisciplinary teams.
... Beyond investigating team performance, there is also a wealth of military research on team process such as team cognitions (i.e., shared mental models) and team cohesion. Teams use mental models to conceptualize their primary objectives and integrate environmental inputs to achieve desired objectives (Mathieu et al., 2000). These shared team cognitions are associated with higher performing teams (Cannon-Bowers et al., 1993) and are traditionally theorized to be developed through the observation of other team members, execution of effective communication, and appropriate task allocation (Kraut et al., 1999). ...
... Purpose-driven (Trachik et al., 2021) and ethical leadership behaviors also seem to be effective strategies for improving employee well-being and mental health. Team structure can also be supported by implementing a team of teamsbased approach, with a diversity of expertise with shared mental models (Mathieu et al., 2000;Cannon-Bowers et al., 1993). The empirical literature suggests that following these recommendations will provide the optimal amount of adaptability, agility, and resilience allowing intelligence organizations to respond to the dynamic threat landscape while maintaining essential information-sharing. ...
Chapter
In recent years, the Department of Defense has highlighted the emergence of new and dynamic threats related to rapid advancements in technology. In an effort to respond to these threats, prominent scholars have called for a re-evaluation of intelligence organizational systems to realign agencies and personnel with the goal of creating more nimble systems to foster timely innovation. These types of changes represent a significant challenge to government entities designed for stability with long-term incentives driving decision-making. Despite this challenge, the civilian and military scientific literature provide valuable lessons on effective strategies to integrate and reinforce innovation in organizational systems. The following chapter reviews specific research on decentralization strategies, team composition and processes, and leadership strategy with the goal of fostering innovation. This chapter also highlights specific challenges for the intelligence community when implementing innovative practices, and provides recommendations for augmenting empirically based strategies to fit within intelligence organizations. These recommendations include the integration of scientific principles and program development strategies into regular organization practice.KeywordsLeadershipTeam processInnovationMilitaryIntelligence community
... As far as the human-centered perspective is concerned, quality factors that have received more attention in the robotics literature are safety [13], trust [14], attitudes and acceptance [15], mental and physical workload [16,17], situation awareness and mental models [18,19], emotional responses [20,21], and anxiety [22]. ...
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The manufacturing industry is currently facing an increasing demand for customized products, leading to a shift from mass production to mass customization. As a result, operators are required to produce multiple product variants with varying complexity levels while maintaining high-quality standards. Further, in line with the human-centered paradigm of Industry 5.0, ensuring the well-being of workers is equally important as production quality. This paper proposes a novel tool, the “Human-Robot Collaboration Quality and Well-Being Assessment Tool” (HRC-QWAT), which combines the analysis of overall defects generated during product variant manufacturing with the evaluation of human well-being in terms of stress response. The HRC-QWAT enables the evaluation and monitoring of human-robot collaboration systems during product variant production from a broader standpoint. A case study of collaborative human-robot assembly is used to demonstrate the applicability of the proposed approach. The results suggest that the HRC-QWAT can evaluate both production quality and human well-being, providing a useful tool for companies to monitor and improve their manufacturing processes. Overall, this paper contributes to developing a human-centric approach to quality monitoring in the context of human-robot collaborative manufacturing.
... While shared mental models may not lead to performance improvements when teams complete independent tasks, they can lead to improved performance when individuals work on interdependent subtasks (Minionis et al., 1995). Therefore, research has shown that shared mental models are important for team effectiveness as well as performance (see Mathieu et al., 2000Mathieu et al., , 2005. When solving the task used in this present study, prior research showed that individuals shared a mental model concerning the optimal survival strategy during winter survival (Blickensderfer et al., 1997). ...
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Virtual collaboration is crucial nowadays, while shared attention plays a vital role in problem-solving. This study examines the relationship between blink synchronization, an index of shared attention, and problem-solving performance in a virtual setting. Thirty-seven dyadic teams completed a familiarization and problem-solving task. We hypothesized that blink synchronization would be established during familiarization, impacting performance. Additionally, we expected blink synchronization to increase over time. Results revealed that blink synchronization predicted teams' problem-solving performance, and blink synchronization increased over time. Our findings shed light on the importance of blink synchronization for shared mental modeling and offer practical insights for virtual teamwork.
Article
Productive human-robot partnerships are vital to successful integration of assistive robots into everyday life. While prior research has explored techniques to facilitate collaboration during human-robot interaction, the work described here aims to forge productive partnerships prior to human-robot interaction, drawing upon team building activities’ aid in establishing effective human teams. Through a 2 (group membership: ingroup and outgroup) × 3 (robot error: main task errors, side task errors, and no errors) online study ( N = 62), we demonstrate that 1) a non-social pre-task exercise can help form ingroup relationships; 2) an ingroup robot is perceived as a better, more committed teammate than an outgroup robot (despite the two behaving identically); and 3) participants are more tolerant of negative outcomes when working with an ingroup robot. We discuss how pre-task exercises may serve as an active task failure mitigation strategy.
Article
Background Accurate and timely diagnosis relies on sharing perspectives among team members and avoiding information asymmetries. Patients/Families hold unique diagnostic process (DxP) information, including knowledge of diagnostic safety blindspots—information that patients/families know, but may be invisible to clinicians. To improve information sharing, we co-developed with patients/families an online tool called ‘Our Diagnosis (OurDX)’. We aimed to characterise patient/family contributions in OurDX and how they differed between individuals with and without diagnostic concerns. Method We implemented OurDX in two academic organisations serving patients/families living with chronic conditions in three subspecialty clinics and one primary care clinic. Prior to each visit, patients/families were invited to contribute visit priorities, recent histories and potential diagnostic concerns. Responses were available in the electronic health record and could be incorporated by clinicians into visit notes. We randomly sampled OurDX reports with and without diagnostic concerns for chart review and used inductive and deductive qualitative analysis to assess patient/family contributions. Results 7075 (39%) OurDX reports were submitted at 18 129 paediatric subspecialty clinic visits and 460 (65%) reports were submitted among 706 eligible adult primary care visits. Qualitative analysis of OurDX reports in the chart review sample (n=450) revealed that participants contributed DxP information across 10 categories, most commonly: clinical symptoms/medical history (82%), tests/referrals (54%) and diagnosis/next steps (51%). Participants with diagnostic concerns were more likely to contribute information on DxP risks including access barriers, recent visits for the same problem, problems with tests/referrals or care coordination and communication breakdowns, some of which may represent diagnostic blindspots. Conclusion Partnering with patients and families living with chronic conditions through OurDX may help clinicians gain a broader perspective of the DxP, including unique information to coproduce diagnostic safety.
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Crew resource management (CRM) training programs have existed for more than a decade, yet methods for providing aircrews with opportunities to practice CRM skills have been limited to role plays in class and scenarios in operational flight trainers. There are drawbacks to both training methods; role plays have few, if any, realistic environmental cues to help crews behave as they do in the cockpit, and simulator scenarios are limited by the cost and availability of the simulators. Research using inexpensive, tabletop computer-based simulations as CRM training media was conducted with military aircrews. Reactions of the crewmembers taking part in the research were very positive both in their acceptance of the system in general and as a trainer for CRM skills. This article presents this research and reports the reactions of aircrews to the tabletop simulation. In addition, a series of recommendations are provided regarding the implementation and use of this low-fidelity simulation.
Chapter
Measuring and managing for team performance: Emerging principles from complex environments" Teamwork has always been an important component of successful military operations. However, as the nature of military operations evolves in the post-cold war era, the ability of teams to work effectively in a dynamic and complex environment may play an even more critical role. As the nature of military organizations evolves and becomes more complex, it will be important to understand why some teams function better than others and how to instill the requisite skills in numerous geographically dispersed teams. The authors of this paper extracted twenty principles of teamwork from studies of decision making teams working in three complex tactical naval settings. Nine of the principles regard the nature of teamwork; seven regard team leadership; four regard the roles of individual team members. The findings presented here provide suggestions for managing teams effectively, measuring team performance, and for training teams in complex settings. They have application to peacekeeping operations, which are highly complex.
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This paper applies the conceptual work of K. Kraiger, J. K. Ford, and E. Salas (1993) to the evaluation of two training programs. A method known as structural assessment (SA) was described and adapted for use in the evaluation of a training program for computer programming and a PC-based simulation of a naval decision-making task. SA represents and evaluates pairwise judgments of relatedness of concepts drawn from the training content domain. In the first study, SA scores of students (determined by similarity to an expert solution) were significantly higher after training than before but did not predict performance on a take-home exam 12 weeks later. In the second study, we manipulated training content by providing half the students with the goals and objectives of the transfer task (an advance organizer) before training and providing the other half with the same information after training. As hypothesized, SA scores were higher for those receiving the organizers before training; SA scores were also more strongly related to performance on the criterion task for this group. Implications of the results for training evaluation are discussed.
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The military is growing increasingly dependent on the ability of individuals to coalesce quickly into effective teams. Consequently, there is a need for scientists to develop an understanding of the processes that influence team performance so that appropriate training can be developed. The authors describe the progress that has been made toward this goal. A historical perspective is provided for each of 4 critical factors in team performance: theoretical development, critical team processes, measurement, and training. A review of what has been learned from military team research in each of these areas since J. Dyer's (1984) review and directions for future research are presented. (PsycINFO Database Record (c) 2014 APA, all rights reserved)
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There has been a recent resurgence of interest in group cognition in the field of organizational science. However, despite the apparent enthusiasm for the notion of the group mind in some modern guise, important conceptual work is needed to examine the concept critically. We attempt to do this in our treatment of the content, form, function, antecedents, and consequences of team mental models. In addition, we illustrate how the construct can bring explanatory power to theories of team performance and offer other implications for research and practice.
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Multiple measures of team process were compared and evaluated using fifty- two 2-person teams flying a simulated F-16 aircraft mission. Measures of team process were given by team members, on-site observers, and off-site observers. The frequencies of various types of team member communication during the task were also recorded. Results indicated that internal consistency varied widely across measures, but adequate internal consistency was gener- ally achieved. Multitrait-multimethod analyses showed evidence of conver- gent and discriminant validity for measures of giving suggestions and cooperation, but not for accepting suggestions, coordination, and team spirit. Descriptive information (communication frequency) was relatively independent of evaluative information (process ratings). Both descriptive and evalua- tive information were predictive of team outcomes and sensitive to team composition. Implications of the results for the measurement of team process and the understanding of team performance are discussed.
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This study tests a comprehensive model of group effectiveness with 100 sales teams in the communications industry. Results indicate that traditional theories of group effectiveness match the implicit theories of team members. These theories account for 90 percent of the variance in team satisfaction and self-reported effectiveness but none of the variance in the teams' sales performance. The findings suggest that theories of group effectiveness need to be revised to include the way in which teams manage interactions across their boundary and the impact of the organizational context.