scholarly journals The “Similarity Index” as an Indicator of Shared Mental Models and Situation Awareness in Field Studies

2013 ◽  
Vol 8 (2) ◽  
pp. 119-136 ◽  
Author(s):  
Bjørn Sætrevik ◽  
Jarle Eid
Keyword(s):  
Mental Models ◽  
Situation Awareness ◽  
Similarity Index ◽  
Field Studies ◽  
Shared Mental Models

scholarly journals The similarity index as an indicator of shared mental models and situation awareness in field studies [Journal of Cognitive Engineering and Decision Making, 2014]

2018 ◽  
Author(s):  
Bjørn Sætrevik ◽  
Jarle Eid
Keyword(s):  
Data Collection ◽  
Mental Models ◽  
Situation Awareness ◽  
Field Experiments ◽  
Team Member ◽  
Similarity Index ◽  
Current Approach ◽  
Lessons Learned ◽  
Shared Mental Models ◽  
Cognitive Engineering

The aim of this paper is to present a methodology where the extent of information sharing among team members is used as an indicator of shared mental models (SMM) and situation awareness (SA). Data collection procedures and probe materials are described for two field experiments performed among emergency management teams in the hydrocarbon industry. Methods are suggested for calculating a “similarity index” by comparing a team member’s responses with the average response in the team or with the responses of the team member assumed to be best informed. It is argued that similarity to team average could be a measure of SMM, while similarity to the best-informed team member could be argued to be an indicator of SA. The degree of compliance in responding to the probes is reported, as well as the degree to which the extent of shared information differed between the probe questions or according to team positions. Lessons learned from the data collection are summarized, and the applicability of the similarity index as a measure of SA is discussed. Some advantages of the current approach are presented, as well as challenges and inherent assumptions in future applications of this approach.

The importance of shared mental models and shared situation awareness for transforming robots from tools to teammates

2012 ◽  
Author(s):  
Scott Ososky ◽  
David Schuster ◽  
Florian Jentsch ◽  
Stephen Fiore ◽  
Randall Shumaker ◽  
...  
Keyword(s):  
Mental Models ◽  
Situation Awareness ◽  
Shared Mental Models ◽  
Shared Situation Awareness

The Influence of Experience on Shared Mental Models Over Time

2012 ◽  
Author(s):  
Pia Justen ◽  
Robert R. van Doorn ◽  
Fred Zijlstra ◽  
Jelke van der Pal
Keyword(s):  
Mental Models ◽  
Shared Mental Models ◽  
Over Time

Creativity in Teams: The Role of Shared Mental Models

2011 ◽  
Author(s):  
Nicholas J. Arreola ◽  
Erika Robinson-Morral ◽  
Danielle A. S. Crough ◽  
Ben G. Wigert ◽  
Brad Hullsiek ◽  
...  
Keyword(s):  
Mental Models ◽  
Shared Mental Models

A Research Approach to Shared Mental Models and Situation Assessment in Future Robot Teams

2011 ◽  
Author(s):  
David Schuster ◽  
Scott Ososky ◽  
Florian Jentsch ◽  
Elizabeth Phillips ◽  
Christian Lebiere ◽  
...  
Keyword(s):  
Mental Models ◽  
Shared Mental Models ◽  
Research Approach ◽  
Situation Assessment ◽  
Robot Teams

Do We Share the Same View? Validating the Shared Mental Models in Team Sports Questionnaire

2021 ◽  
Vol 128 (2) ◽  
pp. 831-850
Author(s):  
Charlotte Raue ◽  
Dennis Dreiskaemper ◽  
Bernd Strauss
Keyword(s):  
Mental Models ◽  
Team Sports ◽  
Positive Influence ◽  
Shared Mental Models ◽  
Model Fit ◽  
Sports Performance ◽  
Measurement Instruments ◽  
Team Members ◽  
Confirmatory Factor ◽  
Good Internal Consistency

Shared mental models (SMMs) can exert a positive influence on team sports performance because team members with SMMs share similar tasks and team-related knowledge. There is currently insufficient sports research on SMMs because the underlying theory has not been adapted adequately to the sports context, and different SMMs measurement instruments have been used in past studies. In the present study we aimed to externally validate and determine the construct validity of the “Shared Mental Models in Team Sports Questionnaire” (SMMTSQ). Moreover, we critically examined the theoretical foundation for this instrument. Participants were 476 active team athletes from various sports. While confirmatory factor analysis did not support the SMMTSQ’s hierarchical model, its 13 subfactors showed a good model fit in an explorative correlative approach, and the model showed good internal consistency and item–total correlations. Thus, the instrument’s subfactors can be applied individually, even while there are remaining questions as to whether other questionnaires of this kind are an appropriate means of measuring SMMs in sport.

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