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  • Gus Balslev posted an update 3 months, 1 week ago

    Dyadic interaction: both HPHP (two human participants can either interact within a LeaderFollower or inside a Joint improvisation condition) and HPVP trials (a human participant is asked to either lead or follow a virtual agent, whose mathematical description for its dynamics might be chosen among diverse models) is often performed. Group interaction: any type of structure of interconnections could be set among the players. Human participants are asked to synchronize the motion of their preferred hand with that of your other people they may be topologically connected to (HP networks), with the possibility of implementing virtual agents within the group (HPVP networks), which can be set to act either as follower or leader.study remained confidential, and participants’ identity is kept anonymous… Synchronization MetricsBefore describing in particulars some representative study cases illustrating the features and capabilities of Chronos, we report the metrics utilised in this function to assess players’ overall performance in Dyadic and Group interaction experiments. Note that such metrics are independent on the architecture we propose. Certainly, according to the hypotheses a researcher is considering investigating, other metrics is usually employed to analyze the information stored by way of Chronos, as for example those proposed in Di Paolo et al. , Froese and Di Paolo , SnappChilds et al Let xk (t) R t [, T] be the continuous time series representing the motion in the kth agent’s preferred hand, with k . , N, exactly where N is the number of individuals and T could be the duration of the experiment. Let xk [ti ] R, with k . , N and i . , NT , be the discrete time series from the position of the kth agent, obtained just after sampling xk (t) at time instants ti , where NT would be the quantity of time measures of duration T T : NT , that is definitely the sampling period. Let k (t) be the phase in the kth agent, which may be estimated by creating use of the Hilbert transform from the signal xk (t) as detailed in Kralemann et al In Dyadic interaction experiments, the relative phase dh,k (t): h (t) k (t) was utilized to verify no matter whether the assignedroles of leader and follower have been respected by participants h and k at time t. Certainly, by defining dh,k as the difference between the phase of your leader (player h) and that on the follower (player k), optimistic values indicate that the designated leader is correctly top the game even though interacting together with the follower (Zhai et al). In addition, the symmetric dyadic synchronization index dh,k originally introduced in Richardson et al. and defined as dh,k : TT jdh,k (t)e dt NTNTeijdh,k [ti ]was applied to quantify the average coordination level in between agents h and k more than time: the closer dh,k dk,h is to , the lower the phase mismatch is amongst agents h and k over the entire trial. The root mean square (RMS) in the normalized position error h,k defined as L L TT h,k :xh (t) xk (t)NTdt NT(xh [ti ] xk [ti ])iFrontiers in Psychology http://www.frontiersin.orgJune Volume ArticleAlderisio et al.SetUp for Studying Human Coordinationwhere L refers for the MDV3100 web selection of admissible position (e.g the array of motion detected by the Leap Motion controller), was employed as a measure on the position mismatch (expressed in percentage) involving the two agents: the lo.

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