AU2019100848A4 - A system for leadership skills measurement - Google Patents

Abstract

Disclosed is a system and method for leadership skill measurement. The system comprises a computer program operable to display one or more random selection events to the individual on a display screen, wherein the computer system is operable to display the coherence score to the individual after the individual being submitted to a series of emotional stimuli. The system and method of the present invention provide a novel technique to scientifically measure leadership skills. Coherence is a standard metric in social cognitive neuroscience. Coherence is a measure of the level of interconnectedness different areas of the brain. High coherence in the right hemisphere is linked to greater emotional balance and understanding of one's own emotion as well as the emotions of others. It also reflects a greater cognitive understanding of the larger picture. In other words, the inspirational leader has a heighten Coherence in the right frontal hemisphere. Respondent is shown 3 neutral images 5 second sme each Respondent is shown 18 calibrated emotional images and sounds Fear/disgust/sexual arousal/social phobia Neutral image Stroop test Results: C2-C1 = Self-Regulation Score C4-C3 = Problem Solving & focused mental activity score

Description

A SYSTEM FOR LEADERSHIP SKILLS MEASUREMENT

FIELD OF THE INVENTION [0001] The invention relates to a leadership skill measurement method and more particularly to leadership skill measurement method using a system for leadership skill measurement using Electroencephalogram (EEG).

BACKGROUND [0001] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in-and-of-themselves may also be inventions.

[0002] Scientific literature point to Emotional intelligence as one of the salient variable most impacting leadership skills. Visionary leaders are better equipped at controlling and understanding their emotion and reading the emotion of others. A leader who is better able to regulate their emotion is more likely to promote positive emotion and hence have a great propensity at inspiring others. However, to date, traditional leadership measurement is based on self-report survey and are easily biased.

[0003] Leadership skill is one of the most sought after skill set in the potential employee every company would like to identify and measure in order to make a selection of the best talent for future strategic plans of the business. On the other hand measurement of the leadership skill is also the most important feature of leadership skill development programs and business are interested in evaluating the effectiveness of the efforts they are putting in for creating future leaders.

[0004] Leadership skill measurement is one of the most subjective tasks which is hard to achieve considering only the external factors of human performance. Therefore, there is a need for a reliable scientific method to measure the leadership skill of an individual.

[0005] It is an object of the present invention to provide a practical and convenient method and system for a user to measure and then further develop its leadership skills.

2019100848 01 Aug 2019

SUMMARY OF THE INVENTION [0006] The present invention provides a system for leadership skills measurement, comprising: A computer program operable to display one or more random selection events to the individual on a display screen, wherein the computer system is operable to display the coherence score to the individual after the individual being submitted to a series of emotional stimuli.

DETAILED DESCRIPTION OF THE INVENTION [0007] The present invention is best understood with reference to the detailed figures and description set forth herein. However, those skilled in the art will readily appreciate that the detailed descriptions provided herein with respect to the figure are merely for explanatory purposes, as the methods and systems may extend beyond the described embodiments. For instance, the teachings presented and the needs of a particular application may yield multiple alternative and suitable approaches to implement the functionality of any detail described herein. Therefore, any approach may extend beyond certain implementation choices in the following embodiments.

[0008] FIG. 1 illustrates a flow diagram of a leadership measurement method using EEG comprising measuring Coherence score for a given individual: A given individual is submitted to a series of emotionally calibrated IAPS and IADS images and sound. IADS or International Affective Digital Sounds provides normative ratings of emotion (pleasure, arousal, dominance) for a set of acoustic stimuli while the International Affective Picture System (IAPS) provides a set of normative emotional stimuli for investigations of emotion and attention. We use a series of image and sound stimuli, each of them being presented to the individual for 5 seconds. While the stimuli are presented a 14 electrode EEG helmet measure the coherence ratio between three electrodes located on the right frontal regions on the brain. Namely AF4, F4, and F8 (using the international 10/20 system of electrode placement). Once measured, the coherence score (between 0% and 100%) is calculated for the beta frequency (2030Hz). Beta brainwaves dominate the normal waking state of consciousness when attention is directed towards cognitive tasks and the outside world. Beta waves are associated with being engaged in problem solving, judgment, decision making, or focused mental activity. FIG. 1 illustrates the stimuli sequence and the coherence score calculation. Coherence is a measure of coordinated activity between different

2019100848 01 Aug 2019 [0009] [0010] [0011] [0012] [0013] [0014] [0015] [0016] [0017] [0018] regions of the brain. A coherence score is given in percentage measure the phase shift between waves forms of identical frequency. 0% represents poorly coordinated activity, while 100% represents a high level of coordination. High level of coherence in the right hemisphere is linked to better social skills, mood control, and selfawareness. Such social and emotional skills have been proven part of the skillset of good leaders. The process described in the flowchart also assesses the perceived emotional self-awareness of respondents before and after being emotionally stressed. Respondents are subjected to 3 neutral images for 5 seconds per image. Coherence scores using an EEG helmet are measured between AF4, F4 and F8 electrodes for each image and average. The average value is named Cl. This score is used as a reference to establish a reference score for the entire experiment.

The measure of emotional stability - or response to emotional stimuli: Respondents are exposed to 9 emotional images using the IAPS classification, fear, social fear, sexual arousal, disgust as well as 9 emotional sound using the IAPS sound classification from highly unpleasant to pleasant. Images are shown for 5 seconds, and sound played for an equal amount of time. Coherence scores (between AF4, F4, and F8) are measure for each stimulus and averaged over the 18 stimuli and given the value C2.

neutral images are displayed for 5 seconds each. Coherence score for each image is measured, averaged and given the value C3.

The measure of problem solving and focusing skills. Respondents are subjected to a standard Stroop test. No time limit is given to this stimulus. (The Stroop test measure the ability for the brain to focus and regulate behaviour). Coherence scores are measured and given the value C4.

Results phase: using the above value Cl, C2, C3, and C4 the following results are provided to the respondents with C2-C1 providing a Self-Regulation Score and C4-C3 which give a score for Problem Solving & focused mental activity score.

COHERENCE CALCULATION: MATLAB PROGRAMING %%%%%%%%%%%%%%%%%%%%%%%%Three Waveform Coherence Calculation %%%%%%%%%% %%%% DR. Nicolas HAMELIN clc;

clear all;

2019100848 01 Aug 2019 [0019] [0020] [0021] [0022] [0023] [0024] [0025] [0026] [0027] [0028] [0029] [0030] [0031] [0032] [0033] [0034] [0035] [0036] [0037] [0038] [0039] [0040] [0041] [0042] [0043] [0044] [0045] [0046] [0047] [0048] [0049] [0050] [0051] %%%Uploading Xis file as a vectors

Data %%Note that you have to adjust your excel folder path in Data.m %%%%%%% Entering three Electrodes to calculate their coherence First waveform = input(' Enter your First electrode : ');

Second waveform = input(' Enter your Second electrode : '); Third waveform = input(' Enter your Third electrode : ');

%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%Plotting the three waveform

Fs=1000;

figure(l);

ax(l) = subplot(3,l,l);

plot((0:numel(First_waveform)-l)/Fs,First_waveform,’k'); ylabel('First Waveform') axis([0 0.5 -1 10]) grid on ax(2) = subplot(3,l,2);

plot((0:numel(Second_waveform)-l)/Fs,Second_waveform,'r'); ylabel('Second Waveform' ) grid on xlabel('Time (secs)') linkaxes(ax( 1:2),'x') axis([0 0.5 -1 10]) grid on ax(2) = subplot(3,l,3);

plot((0:numel(Third_waveform)-l)/Fs,Third_waveform,'b'); ylabel('Third Waveform' ) grid on xlabel('Time (secs)') linkaxes(ax( 1:2),'x') axis([0 0.5 -1 10])

% %Coherence Calculation with MATLAB

2019100848 01 Aug 2019 [0052] WL = 100; %window length [0053] %%%For loop to eliminate the first null value from each column [0054] for i=l:2 [0055] First_waveform(i)=0;

[0056] Seeond_waveform(i)=0;

[0057] Third_waveform(i)=0;

[0058] end [0059] %% coherence function inputs [0060] z2=[ Third waveform];

[0061] zl= [First waveform Second waveform];

[0062] %%%%% Calling multiple coherence function and passing parameters [0063] [mCoh,F] = MultipleCoherehence(2048,zl,z2,l,2048,WL);

[0064] Coherence_percentage = mean(abs(mCoh))*100 [0065] %%%%%%%%%%%%%%%Coherence plotting [0066] MULTIPLE COHERENCE PROGRAM [0067] function [MCOH,F] = MultipleCoherehence(fs,x,y,index,nfft,win) [0068] % Calculation of multiple coherence.

[0069] % [0070] % x :inputs (//time samples x #inputs) [0071] % y :outputs (//time samples x //outputs) [0072] % index : selected output [0073] % nfft: number of fft [0074] % fs : sampling rate [0075] % window : you can change window function if your data are not periodic [0076] % [0077] % [0078] % Sample usage:

[0079] % [mCoh,F] = MultipleCoherehence(2048,inputs,Datas,5,2048,100);

[0080] %

2019100848 01 Aug 2019 [0081] % [0082] % [0083] % For other Modal Analysis Routines please contact:

[0084] % mmbicak@mtu.edu [0085] % http://www.me.mtu.edu/~mmbicak [0086] noverlap = [];

[0087] m = length(x(l,:));% # inputs [0088] n = length(y(l,:));% # outputs [0089] if (index<=0) | (index>n) [0090] error('index error, check index value (index)') [0091] end [0092] window =win;% assuming pure harmonic signal,otherwise use a window [0093] for ii = 1 : m [0094] for jj = 1 : m [0095] [Cxy,F] = cpsd(x(:,ii),x(:,jj),window, noverlap,nfft,fs);

[0096] GXX{ii,jj} = Cxy;

[0097] end [0098] end [0099] for ii = 1 : m [0100] [Cyx,F] = cpsd(y(:,index),x(:,ii),window, noverlap,nfft,fs);

[0101] GYX{ii,l} = Cyx;

[0102] GXY{ii,l}=conj(Cyx);

[0103] end [0104] [Cyy,F] = cpsd(y(:,index),y(:,index),window, noverlap,nfft,fs);

[0105] GYY{l}=Cyy;

[0106] GYXX= [GYX';GXX];

[0107] GY = [GYY ;GXY];

[0108] GYXX = [GY GYXX];

[0109] for ii= 1 :length(F) [0110] for jj = 1 :m+l

a. forkk=l:m+l;

b. G = GYXX{jj,kk};

c. GYXX_f( jj , kk )=G(ii);

d. end

2019100848 01 Aug 2019 [0111] end [0112] for jj = 1 :m

e. for kk = l:m;

f. G = GXX{jj,kk};

g. GXX_f( jj , kk)=G(ii);

h. end [0113] end [0114] MCOH(ii) = 1 - (det(GYXX_f)/(Cyy(ii)*det(GXX_f)));

[0115] end;

Claims (1)

1. A system for leadership skills measurement, comprising: A computer program operable to display one or more random selection events to the individual on a display screen, wherein the computer system is operable to display the coherence score to the individual after the individual being submitted to a series of emotional stimuli.

2019100848 01 Aug 2019