ARVR2D_[elderlies|patients]_DataCatchBased.csv
Raw task metrics (movement quality & counting accuracy). Each line represents one reaching movement to a fruit. Please refer to the publication for more information about the variables such as computation details.
Movement description field:
ParticipantNmber: Participant’s number.
Modality: The display that was used (VR: immersive virtual reality head-mounted display, SCREEN: 2D computer screen, and AR: augmented reality head-mounted display).
TrialIndex: The index of the current block within the experiment’s modality.
CatchIndex: The index of the current fruit in the current block.
Location.[x|y|z]Usage: The location’s usage of the respective dimension (0: not using it, 1: location on the positive side on this dimension, -1 location on the negative side on this dimension).
Type.Real: The real fruit’s type.
Count.Real: The real fruit’s current counting value.
CatchSuccess: Boolean indicating whether the fruit was successfully cought or not (skipped by researcher).
Location.OnPlaneXY: Boolean indicating whether the fruit’s location was on the XY plane (vertical “window plane”).
Location.OnPlaneXZ: Boolean indicating whether the fruit’s location was on the XZ plane (horizontal “table plane”).
Location.OnLine[X|Y|Z]: Boolean indicating whether the fruit’s location was on the respective axis.
Location.Dimensionality: Either ‘1D’, ‘2D’, or ‘3D’. Indicates the dimensionality of the fruit’s location.
Location.DepthUsage.Detailed: Either ‘Combined’, ‘Only, or ‘No’. Indicates whether the fruit’s location was, respectively, using depth in addition to another dimension, using depth alone, or not using depth at all. Used for the depth analysis in the publication.
Location.DepthBinary: Boolean indicating whether the fruit’s location was using depth or not.
Metrics:
Movement.Duration: The time (in seconds) it took to reach the fruit.
Movement.IdealDistance: The distance (in meter) between the starting point and the fruit’s location.
Movement.Duration.Normalized: Movement.Duration/Movement.IdealDistance. Used as a movement quality metric in the publication (normalized movement duration).
Movement.Distance: The path length (in meter)
Movement.Straightness: Movement.Distance/Movement.IdealDistance. Used as a movement quality metric in the publication (trajectory straightness ratio).
Movement.PeakVelocity: Highest velocity value (meter/second). Used as a movement quality metric in the publication (velocity peak).
Movement.PeakVelocityTime: The time (in seconds) when the peak velocity was reached (since the movement’s start.
Movement.PeakVelocityTime.Normalized: Movement.PeakVelocity/Movement.IdealDistance.
Movement.NbPeaks: The number of velocity peaks, reflecting the movement’s smoothness. Used as a movement quality metric in the publication (number of velocity peaks).
Movement.Onset: The time (in seconds) it took to start the movement (since the disappearance of the green sphere until the velocity reached the threshold of 0.2m/s). Used as a metric in the publication (movement onset).
Movement.EndPointVelocity: The velocity (in meter/second) when the fruit was touched.
Count.Said: The counting value said by the participant for the current fruit.
Fruit.Correctness.Binary: Boolean indicating whether the counted fruit was correct or not.
Fruit.Correctness.Detailed: Either ‘Correct’, ‘WrongFruit’, ‘WrongCount’, ‘WrongCount_FollowingPrevious’, ‘Skipped’, ‘MissedRecorded’, ‘SeveralCountingValues’, ‘NoFruit’, or ‘NoCount’.
‘Correct’ indicates that both the fruit’s type and the counting value matched the real fruit’s type and couting value.
‘WrongFruit’ and ‘WrongCount’ indicate, respectively, that the said fruit’s type or counting value was wrong.
‘WrongCount_FollowingPrevious’ indicates that the said counting value did not match the real one, however, if follows a previous erroneous counting value.
‘Skipped’ indicates that the fruit was skipped by the researcher.
‘MissedRecorded’ indicates that the researcher missed the fuit’s counting value or type.
‘SeveralCountingValues’ indicates that the pariticipants said several counting value for this fruit.
‘NoFruit’ indicates that the participant did not say any fruit type.
‘NoCount’ indicates that the participant did not say any counting value.
In the publication, both ‘Correct’ and ‘WrongCount_FollowingPrevious’ were considered as a correct counting value. The ‘Skipped’ and ‘MissedRecorded’ were ignored.
Type.Said: The fruit type said by the participant for the current fruit.
AVVR2D_[elderlies|patients]_DataParticipantBased_Averages_filtered_pdlf_3.csv
Filtered and averaged task metrics (movement quality & counting accuracy). Each line represents one participant. Contains only the data that were used to produce the results presented in the publication. Outliers are removed as described in the publication. Please refer to the publication for more information about the variables such as computation or filtering details.
ParticipantNumber: Participant’s number
Average._Group_._Metric_: The metric ‘_Metric_’ averaged for a given participant and grouped by ‘_Group_’.
The ‘_Group_’, could either be:
•	A modality
o	VR: immersive virtual reality head-mounted display
o	SCREEN: 2D computer screen
o	AR: augmented reality head-mounted display
•	A location group, which could be
o	A dimensionality: 1D/2D/3D
o	An axis: 1D.X/1D.Y/1D.Z
o	A plane: Planes.XY/Planes.XZ. The group ‘Planes’ groups locations that are either on the plane ‘XY’ or ‘XZ’ (corresponds the 2D locations).
o	A depth usage: 
•	Binary: Depth.[True|False]
•	Detailed: Depth.[Combined|No|NOnly]. The value ‘Only’ found in ‘Location.DepthUsage.Detailed’ in the ‘DataCatchBased.csv’, correspond to the group ‘Depth.False’. ‘Depth.NOnly’ is the average grouped by locations where the detailed depth usage was either ‘No’ or ‘Only’.
•	A combination of both (with the syntax ‘_Modality_._LocationGroup_’)
•	Nothing. Meaning it is the absolute average
The ‘_Metric_’ could either be: 
•	One of the following movement quality metric (previously explained in this file): Movement.Onset, Movement.Duration, Movement.Duration.Normalized, Movement.IdealDistance, Movement.Straightness, Movement.PeakVelocity, Movement.PeakVelocityTime, Movement.PeakVelocityTime.Normalized, Movement.NbPeaks
•	One of the following fruit counting accuracy metric:
o	Correctness.Binary: Indicates the ratio of correct fruit (when the said fruit type and counting value matched exactly the real one)
o	Correctness.DetailedRatio.[Correct|WrongFruit|WrongCount|WrongCount_FollowingPrevious|Skipped|MissedRecorded|SeveralCountingValues|NoFruit|NoCount]: Indicates the ratio of fruit which had the corresponding detailed correctness (previously explained in this file).

ARVR2D_elderlies_questionnaire_observations_based.csv
Questionnaires’ data for the experiment with healthy old participants. Each line represents a participant in with a given visualization technology. Please refer to the publication for more information about the variables such as the used scales.
ParticipantNumber: Participant’s number.
Modality: The display that was used (VR: immersive virtual reality head-mounted display, SCREEN: 2D computer screen, and AR: augmented reality head-mounted display).
interest_[1-7]: The value answered for the 7 questions of the ‘Interest/Enjoyment’ IMI subscale.
competence_[1-6]: The value answered for the 6 questions of the ‘Perceived Competence’ IMI subscale.
effort_[1-5]: The value answered for the 5 questions of the ‘Effort/Importance’ IMI subscale.
pressure_[1-5]: The value answered for the 5 questions of the ‘Pressure/Tension’ IMI subscale.
interest: The final score of the ‘Interest/Enjoyment’ IMI subscale.
competence: The final score of the ‘Perceived Competence’ IMI subscale.
effort: The final score of the ‘Effort/Importance’ IMI subscale.
pressure: The final score of the ‘Pressure/Tension’ IMI subscale.
imi: The final IMI score.
nasa_tlx_[1-6]: The value answered for the 6 RTLX questions.
nasa_tlx: The final RTLX score.
feasibility_[1-10]: The value answered for the 10 SUS questions.
feasibility: The final SUS score.
ARVR2D_patients_questionnaire_observations_based.csv
Questionnaires’ data for the experiment with brain-injured patients. Each line represents a participant in with a given visualization technology. Please refer to the publication for more information about the variables such as the used scales.
ParticipantNmber: Participant’s number.
Modality: The display that was used (VR: immersive virtual reality head-mounted display, SCREEN: 2D computer screen, and AR: augmented reality head-mounted display).
SUS_[0-9]: The value answered for the 10 SUS questions.
SUS: The final SUS score.
_RTLX_ScaleLength_mm: The physical length (in millimeters) of the scale used to answer the RTLX questionnaire. Due to some printer issue, the length was not exactly the same for each participant.
RTLX_[0-5]: The distance (in millimeters) from the scale’s left border to the participant’s cross’ center.
RTLX: The final RTLX score.