<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...

the aim of the present study was to compare the effect of coach change on team performance in iran football premier league and five major european leagues. the design of study was quantitative and the research method was causal comparative. the population of the research included all 340 teams present in iran football premier league and selected european leagues (uk premier league, spain la lig...

In this paper we develop a method for predicting the performance of human-robot teams consisting of a single user and multiple robots. To predict the performance of a team, we first measure the neglect tolerance and interface efficiency of the interaction schemes employed by the team. We then describe a method that shows how these measurements can be used to estimate the team’s performance. We ...

We report results from a dual electroencephalography (EEG) study, in which two-member teams performed a simulated combat scenario. Our aim was to distinguish expert from novice teams by their brain dynamics. Our findings suggest that dimensionality increases in the joint brain dynamics of the team members is a signature of increased task demand, both objective, e.g. increased task difficulty, a...

Objective: To identify benchmark neurophysiological measures that predict performance at a teaming level. Advanced Brain Monitoring has a track record of success in identifying neurophysiological metrics that impact expert behavior. For example, we characterized negative and positive predictors for marksmanship skill; persons with higher HF:LF Norm metrics of Heart rate variability (HRV, an ind...