Data
BraidFlowSessionLevel

BraidFlowSessionLevel

active ARFF CC-BY-SA Visibility: public Uploaded 17-05-2024 by Cesar Torres
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Entering a cognitive state of flow is a natural response of the mind that allows people to fully concentrate and cope with tedious, and often repetitive tasks. Understanding how to trigger or sustain flow remains limited by retrospective surveys, presenting a need to better document flow. This dataset is used to study flow in the context of a flow-inducing task, i.e., braidmaking. Using an instrumented Kumihimo braidmaking tool and off-the-shelf biosignal wristbands, we record the experiences of 24 users engaged in 3 different braidmaking tasks. We extract feature motivated from flow literature from activity data (IMU, EMG, EDA, heart rate, skin temperature, braiding telemetry) and annotated with Flow Short Scale (FSS) scores.Unlike the BraidFlow (BF) dataset, this dataset provides session level data -- specifically features were computing on a sliding window (10 seconds, 50\% overlap).

124 features

flow_state (target)string3 unique values
0 missing
UIDnumeric22 unique values
0 missing
task_idnumeric3 unique values
0 missing
windownumeric60 unique values
0 missing
knumeric1210 unique values
0 missing
task_braidnominal3 unique values
0 missing
task_braid_revolutionsnumeric2 unique values
0 missing
task_braid_strandsnumeric2 unique values
0 missing
braiding_statistics_revadvanceworknumeric2174 unique values
0 missing
braiding_statistics_revolutionsnumeric2177 unique values
0 missing
braiding_statistics_revundoworknumeric148 unique values
0 missing
braiding_statistics_revworknumeric2214 unique values
0 missing
braiding_statistics_trialsnumeric2177 unique values
0 missing
disk_acc_mean_lateralnumeric2364 unique values
0 missing
disk_acc_mean_medialnumeric2364 unique values
0 missing
disk_acc_mean_overallnumeric2364 unique values
0 missing
disk_acc_peaks_lateralnumeric811 unique values
0 missing
disk_acc_peaks_medialnumeric468 unique values
0 missing
disk_acc_peaks_overallnumeric473 unique values
0 missing
disk_acc_std_lateralnumeric2364 unique values
0 missing
disk_acc_std_medialnumeric2364 unique values
0 missing
disk_acc_std_overallnumeric2364 unique values
0 missing
disk_speed_mean_lateralnumeric2364 unique values
0 missing
disk_speed_mean_medialnumeric2364 unique values
0 missing
disk_speed_mean_overallnumeric2364 unique values
0 missing
disk_flipsnumeric2363 unique values
0 missing
disk_heading_movementsnumeric1624 unique values
0 missing
disk_heading_rhythm_5numeric2364 unique values
0 missing
disk_heading_rhythm_10numeric2364 unique values
0 missing
disk_heading_rhythm_15numeric2364 unique values
0 missing
disk_heading_rhythm_20numeric2364 unique values
0 missing
disk_heading_rhythm_25numeric2364 unique values
0 missing
disk_heading_rhythm_30numeric2364 unique values
0 missing
disk_heading_rhythm_35numeric2364 unique values
0 missing
disk_heading_rhythm_40numeric2364 unique values
0 missing
disk_heading_rhythm_45numeric2364 unique values
0 missing
disk_heading_rhythm_resonant_frequencynumeric9 unique values
0 missing
disk_heading_rhythm_resonant_scorenumeric2364 unique values
0 missing
wristband_acc_mean_lateralnumeric2364 unique values
0 missing
wristband_acc_mean_medialnumeric2364 unique values
0 missing
wristband_acc_mean_overallnumeric2364 unique values
0 missing
wristband_acc_peaks_lateralnumeric1796 unique values
0 missing
wristband_acc_peaks_medialnumeric1179 unique values
0 missing
wristband_acc_peaks_overallnumeric1166 unique values
0 missing
wristband_acc_std_lateralnumeric2364 unique values
0 missing
wristband_acc_std_medialnumeric2364 unique values
0 missing
wristband_acc_std_overallnumeric2364 unique values
0 missing
wristband_speed_mean_lateralnumeric2364 unique values
0 missing
wristband_speed_mean_medialnumeric2364 unique values
0 missing
wristband_speed_mean_overallnumeric2364 unique values
0 missing
heartrate_above_baselinenumeric1351 unique values
0 missing
heartrate_below_baselinenumeric1505 unique values
0 missing
heartrate_meannumeric2364 unique values
0 missing
heartrate_peaks_frequencynumeric2 unique values
0 missing
heartrate_rangenumeric2364 unique values
0 missing
heartrate_stdnumeric2364 unique values
0 missing
heartrate_valleys_frequencynumeric2 unique values
0 missing
skintemperature_above_baselinenumeric1360 unique values
0 missing
skintemperature_below_baselinenumeric1378 unique values
0 missing
skintemperature_meannumeric2364 unique values
0 missing
skintemperature_peaks_frequencynumeric7 unique values
0 missing
skintemperature_rangenumeric2333 unique values
0 missing
skintemperature_stdnumeric2364 unique values
0 missing
skintemperature_valleys_frequencynumeric7 unique values
0 missing
eda_phasic_peaks_frequencynumeric2299 unique values
0 missing
eda_phasic_scr_amplitude_meannumeric66 unique values
0 missing
eda_phasic_scr_amplitude_rangenumeric66 unique values
0 missing
eda_phasic_scr_amplitude_stdnumeric66 unique values
0 missing
eda_phasic_scr_recoverytime_meannumeric66 unique values
0 missing
eda_phasic_scr_recoverytime_rangenumeric52 unique values
0 missing
eda_phasic_scr_recoverytime_stdnumeric66 unique values
0 missing
eda_phasic_scr_risetime_meannumeric64 unique values
0 missing
eda_phasic_scr_risetime_rangenumeric27 unique values
0 missing
eda_phasic_scr_risetime_stdnumeric66 unique values
0 missing
eda_tonic_energynumeric2364 unique values
0 missing
eda_tonic_meannumeric2364 unique values
0 missing
eda_tonic_rangenumeric2364 unique values
0 missing
eda_tonic_stdnumeric2364 unique values
0 missing
emg_scr_amplitude_meannumeric66 unique values
0 missing
emg_scr_amplitude_rangenumeric66 unique values
0 missing
emg_scr_amplitude_stdnumeric66 unique values
0 missing
emg_scr_recoverytime_meannumeric65 unique values
0 missing
emg_scr_recoverytime_rangenumeric54 unique values
0 missing
emg_scr_recoverytime_stdnumeric65 unique values
0 missing
emg_scr_risetime_meannumeric66 unique values
0 missing
emg_scr_risetime_rangenumeric33 unique values
0 missing
emg_scr_risetime_stdnumeric65 unique values
0 missing
emg_tonic_energynumeric2364 unique values
0 missing
emg_tonic_meannumeric2364 unique values
0 missing
emg_tonic_rangenumeric2363 unique values
0 missing
emg_tonic_stdnumeric2364 unique values
0 missing
timestampnumeric22 unique values
0 missing
studynominal1 unique values
0 missing
paper_refnominal22 unique values
0 missing
agenumeric13 unique values
0 missing
gendernominal2 unique values
0 missing
ethnicitynominal6 unique values
0 missing
dexteritynominal3 unique values
0 missing
flow_depositionnumeric6 unique values
0 missing
needlecraft_engagementnumeric4 unique values
0 missing
needlecraft_proficiencynumeric14 unique values
0 missing
needlecraft_skillnumeric22 unique values
0 missing
needlecraft_worknumeric9 unique values
0 missing
action_absorptionnumeric6 unique values
0 missing
action_accordnumeric6 unique values
0 missing
action_fluiditynumeric7 unique values
0 missing
carenumeric7 unique values
0 missing
challenge_matchnumeric7 unique values
0 missing
clear_mindednessnumeric7 unique values
0 missing
controlnumeric7 unique values
0 missing
demandnumeric7 unique values
0 missing
factor_absorption_by_activitynumeric15 unique values
0 missing
factor_fluency_of_performancenumeric23 unique values
0 missing
factor_perceived_fit_of_skill_and_task_demandsnumeric10 unique values
0 missing
factor_subjective_value_of_activitynumeric15 unique values
0 missing
focusnumeric7 unique values
0 missing
forward_thinkingnumeric7 unique values
0 missing
fss_scorenumeric30 unique values
0 missing
loss_of_time_perceptionnumeric7 unique values
0 missing
lost_in_thoughtnumeric7 unique values
0 missing
perceived_difficultynumeric7 unique values
0 missing
relevancenumeric7 unique values
0 missing
self_evaluationnumeric8 unique values
0 missing
worrynumeric7 unique values
0 missing
Show first 100 features

19 properties

NumberOfInstances
2364
Number of instances (rows) of the dataset.
NumberOfFeatures
124
Number of attributes (columns) of the dataset.
NumberOfClasses
3
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
117
Number of numeric attributes.
NumberOfSymbolicFeatures
6
Number of nominal attributes.
MajorityClassSize
1156
Number of instances belonging to the most frequent class.
MinorityClassPercentage
22.5
Percentage of instances belonging to the least frequent class.
MinorityClassSize
532
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
0.81
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
94.35
Percentage of numeric attributes.
Dimensionality
0.05
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
4.84
Percentage of nominal attributes.
MajorityClassPercentage
48.9
Percentage of instances belonging to the most frequent class.
Show all 19 properties

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