An evaluation method of team communication based on a task flow analysis

Nonose, Kohei; Kanno, Taro; Furuta, K.

doi:10.1007/s10111-015-0340-4

Cited by 11 publications

(3 citation statements)

References 22 publications

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“…Although our analysis of speech acts was inconclusive, we did observe differences in crewmembers’ anticipation ratio. Consistent with past research (Nonose et al, 2015), we found that members of outstanding crews were more likely than members of poorly performing crews to volunteer relevant information at a time when their teammates needed it but had not yet asked for it. Even though a team’s anticipation ratio may be a reliable indicator of the team’s performance, it presently is an impractical tool for use during team training.…”

Section: Resultssupporting

confidence: 89%

“…Team members’ anticipatory behavior was operationalized by Serfaty, Entin, and Johnston (1998) as the ratio of information transfers and information requests. This so-called anticipation ratio provides a measure of communication efficiency (Nonose, Kanno, & Furuta, 2015), as it was shown to be associated with team effectiveness (Shah & Breazeal, 2010; Sperling, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Methods to Evaluate Pilots’ Cockpit Communication: Cross-Recurrence Analyses vs. Speech Act–Based Analyses

Gontar

Fischer

Bengler

2017

Journal of Cognitive Engineering and Decision Making

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Section: Resultssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Methods to Evaluate Pilots’ Cockpit Communication: Cross-Recurrence Analyses vs. Speech Act–Based Analyses

Gontar

Fischer

Bengler

2017

Journal of Cognitive Engineering and Decision Making

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“…The result of the site investigation is credible, but it ignores contexts and is not general. (Nonose, Kanno, & Furuta, 2015) Model study Many models have been proposed to analyse teamwork. The failure of cooperation is caused by the disconnection of workers with different responsibilities in Shared Mental Models(SSMs).…”

Section: Simulation and Experimentsmentioning

confidence: 99%

A Methodology for Analyzing Metro Team Cooperation Errors Based on Complex Network Theory

Guo

Wang

2023

Preprint

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For complex metro systems to operate efficiently, effective cooperation among teams is needed. Many accidents happen due to control failure caused by team errors during cooperation. Improving the efficiency of teamwork not only focuses on the team’s organizational structure and teamwork procedure, but also stresses each workers’ state during cooperation, because personal errors or interactions errors may lead to the collaboration failure. Combining the theory of human error and the complex network theory, this paper proposes a method to identify team errors and explore the mechanisms of team error during teamwork in the metro systems. Team cooperation is decomposed into each team member’s information process and interactions among human, machines and the environment, which are connected by a collection of information flows in the task. The TICN (Teamwork Information Complex Network) is established, in which information state of individual and interactions within agents are represented by nodes, and information flows are represented by directed edges. Then, vulnerable information states causing teamwork failure are identified by analyzing the degree centrality and betweenness centrality of the complex network. In the end, the model is applied to a specific emergency. The result shows that team members need enhanced skill-based level cognitive ability, the station supervisor needs a thorough understanding of the management system and rules, the decision-maker has to make and communicate decisions concisely, and the communication equipment should be adjusted and designed according to ergonomic requirements. Based on the results, some suggestions were put forward to improve the team performance in the metro system.

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