Data
BraidFlow

BraidFlow

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.

124 features

flow_state (target)string3 unique values
0 missing
UIDnumeric24 unique values
0 missing
task_idnumeric3 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_scorenumeric31 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
task_braidnominal3 unique values
0 missing
task_braid_revolutionsnumeric2 unique values
0 missing
task_braid_strandsnumeric2 unique values
0 missing
braiding_statistics_durationnumeric72 unique values
0 missing
braiding_statistics_revadvanceworknumeric72 unique values
0 missing
braiding_statistics_revolutionsnumeric72 unique values
0 missing
braiding_statistics_revundoworknumeric43 unique values
0 missing
braiding_statistics_revworknumeric72 unique values
0 missing
braiding_statistics_trialsnumeric72 unique values
0 missing
disk_acc_mean_lateralnumeric66 unique values
6 missing
disk_acc_mean_medialnumeric66 unique values
6 missing
disk_acc_mean_overallnumeric66 unique values
6 missing
disk_acc_peaks_lateralnumeric66 unique values
6 missing
disk_acc_peaks_medialnumeric66 unique values
6 missing
disk_acc_peaks_overallnumeric66 unique values
6 missing
disk_acc_std_lateralnumeric66 unique values
6 missing
disk_acc_std_medialnumeric66 unique values
6 missing
disk_acc_std_overallnumeric66 unique values
6 missing
disk_speed_mean_lateralnumeric66 unique values
6 missing
disk_speed_mean_medialnumeric66 unique values
6 missing
disk_speed_mean_overallnumeric66 unique values
6 missing
disk_flipsnumeric51 unique values
21 missing
disk_heading_movementsnumeric66 unique values
6 missing
disk_heading_rhythm_5numeric66 unique values
6 missing
disk_heading_rhythm_10numeric66 unique values
6 missing
disk_heading_rhythm_15numeric66 unique values
6 missing
disk_heading_rhythm_20numeric66 unique values
6 missing
disk_heading_rhythm_25numeric66 unique values
6 missing
disk_heading_rhythm_30numeric66 unique values
6 missing
disk_heading_rhythm_35numeric66 unique values
6 missing
disk_heading_rhythm_40numeric66 unique values
6 missing
disk_heading_rhythm_45numeric66 unique values
6 missing
disk_heading_rhythm_resonant_frequencynumeric9 unique values
0 missing
disk_heading_rhythm_resonant_scorenumeric66 unique values
6 missing
wristband_acc_mean_lateralnumeric72 unique values
0 missing
wristband_acc_mean_medialnumeric72 unique values
0 missing
wristband_acc_mean_overallnumeric72 unique values
0 missing
wristband_acc_peaks_lateralnumeric72 unique values
0 missing
wristband_acc_peaks_medialnumeric72 unique values
0 missing
wristband_acc_peaks_overallnumeric72 unique values
0 missing
wristband_acc_std_lateralnumeric72 unique values
0 missing
wristband_acc_std_medialnumeric72 unique values
0 missing
wristband_acc_std_overallnumeric72 unique values
0 missing
wristband_speed_mean_lateralnumeric72 unique values
0 missing
wristband_speed_mean_medialnumeric72 unique values
0 missing
wristband_speed_mean_overallnumeric72 unique values
0 missing
heartrate_above_baselinenumeric72 unique values
0 missing
heartrate_below_baselinenumeric72 unique values
0 missing
heartrate_meannumeric72 unique values
0 missing
heartrate_peaks_frequencynumeric69 unique values
0 missing
heartrate_rangenumeric72 unique values
0 missing
heartrate_stdnumeric72 unique values
0 missing
heartrate_valleys_frequencynumeric71 unique values
0 missing
skintemperature_above_baselinenumeric72 unique values
0 missing
skintemperature_below_baselinenumeric72 unique values
0 missing
skintemperature_meannumeric72 unique values
0 missing
skintemperature_peaks_frequencynumeric72 unique values
0 missing
skintemperature_rangenumeric72 unique values
0 missing
skintemperature_stdnumeric72 unique values
0 missing
skintemperature_valleys_frequencynumeric72 unique values
0 missing
eda_phasic_peaks_frequencynumeric72 unique values
0 missing
eda_phasic_scr_amplitude_meannumeric72 unique values
0 missing
eda_phasic_scr_amplitude_rangenumeric72 unique values
0 missing
eda_phasic_scr_amplitude_stdnumeric72 unique values
0 missing
eda_phasic_scr_recoverytime_meannumeric72 unique values
0 missing
eda_phasic_scr_recoverytime_rangenumeric54 unique values
0 missing
eda_phasic_scr_recoverytime_stdnumeric72 unique values
0 missing
eda_phasic_scr_risetime_meannumeric70 unique values
0 missing
eda_phasic_scr_risetime_rangenumeric29 unique values
0 missing
eda_phasic_scr_risetime_stdnumeric72 unique values
0 missing
eda_tonic_energynumeric72 unique values
0 missing
eda_tonic_meannumeric72 unique values
0 missing
eda_tonic_rangenumeric72 unique values
0 missing
eda_tonic_stdnumeric72 unique values
0 missing
emg_peaks_frequencynumeric72 unique values
0 missing
emg_scr_amplitude_meannumeric72 unique values
0 missing
emg_scr_amplitude_rangenumeric72 unique values
0 missing
emg_scr_amplitude_stdnumeric72 unique values
0 missing
emg_scr_recoverytime_meannumeric71 unique values
0 missing
emg_scr_recoverytime_rangenumeric59 unique values
0 missing
emg_scr_recoverytime_stdnumeric71 unique values
0 missing
emg_scr_risetime_meannumeric72 unique values
0 missing
emg_scr_risetime_rangenumeric37 unique values
0 missing
emg_scr_risetime_stdnumeric71 unique values
0 missing
emg_tonic_energynumeric72 unique values
0 missing
emg_tonic_meannumeric72 unique values
0 missing
emg_tonic_rangenumeric72 unique values
0 missing
emg_tonic_stdnumeric72 unique values
0 missing
timestampnumeric24 unique values
0 missing
studynominal1 unique values
0 missing
paper_refnominal24 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_depositionnumeric7 unique values
0 missing
needlecraft_engagementnumeric4 unique values
0 missing
needlecraft_proficiencynumeric16 unique values
0 missing
needlecraft_skillnumeric24 unique values
0 missing
needlecraft_worknumeric10 unique values
0 missing
Show first 100 features

19 properties

NumberOfInstances
72
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
159
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
21
Number of instances with at least one value missing.
NumberOfNumericFeatures
117
Number of numeric attributes.
NumberOfSymbolicFeatures
6
Number of nominal attributes.
PercentageOfBinaryFeatures
0.81
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
29.17
Percentage of instances having missing values.
PercentageOfMissingValues
1.78
Percentage of missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
94.35
Percentage of numeric attributes.
Dimensionality
1.72
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
4.84
Percentage of nominal attributes.
MajorityClassPercentage
51.39
Percentage of instances belonging to the most frequent class.
MajorityClassSize
37
Number of instances belonging to the most frequent class.
MinorityClassPercentage
23.61
Percentage of instances belonging to the least frequent class.
MinorityClassSize
17
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
Show all 19 properties

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