Experimental results to compare the effects of presence and challenge modulation on immersive virtual environments

Citation Author(s):
Oscar I.
Caldas
Universidad Militar Nueva Granada
Oscar F.
Aviles
Carlos
Rodriguez-Guerrero
Submitted by:
Oscar I. Caldas
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/vj8w-v224
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Abstract 

This database contains the results of an experiment were healthy subjects played 5 trials of a rehabilitation-based VR game, to experience either difficulty variations or presence variations.

Colected results are demogrpahic information, emotional emotions after each trial and electrophysiological signals during all 5 trials.

Instructions: 

This folder contains the 87 recordings collected from participants at the experiment's 2nd-stage.

(First stage was a Virtual Simulation Sickness test which results are also provided).

 

1. The file named as "Demog.csv" contains the demographic information of all participants, organized but columns as follows:

   Column 1: Participant number

   Column 2: Group (A = Virtual presence variations, B = Difficulty variations)

   Column 3: Age (years)

   Column 4: Gender

   Column 5: Weight (kg)

   Column 6: Height (m)

   Column 7: Starting hour (24h format)

   Column 8: VSSQ test result

 

2. The second file, called "UnityDataSet.txt" contains the results obtained from the Virtual Reality environment for all 87 participants, and it is organized as follows:

   Column 1: Order of scenes (1-5 correspond to group A, whereas 6-10 correspond to group B)

   Column 2: Game Score (0-100 scale)

   Column 3: Self-reported Valence (From unpleasant to pleasant, in a 1-9 scale)

   Column 4: Self-reported Arousal (From calm to excited, in a 1-9 scale)

   Column 5: Self-reported Dominance (From dominated to dominant, in a 1-9 scale)

 

3. The 174 remaining *.txt files are the electrophysiological signals data. 

   The name refers to the participant coded number, being the stage #2, and if it was the actual experiment or the previous resting measurement (baseline)

   e.g. "P2_14" or "P2_86_Rest"  ("P2_1_Rest" was intentionally removed due to corrupted data)

 

   Each file is organized as follows (Raw Data):

   Column 1: Sample number (Sampling frequency = 1 kHz)

   Column 2: Electrocardiogram

   Column 3: Skin Conductance

   Column 4: Respiration

 

4. The following is the rationale to obtain each of the 5 timelines from the dataset:

 

   Each experiment was organized as [Trial1 + Test + Trial2 + Test + Trial3 + Test + Trial4 + Test + Trial5]

   - Each "Test" lasted 30s and correspond to the time when the participant was sef-reporting. This MUST removed.

   - Each "Trial" duration was depending of the scene played and the score obtained, described as:

         Trial_time = ExpectedTime-(100-score)/20;                     * Score displaying was time consuming

                , where ExpectedTime = 89s if "Scene=8" or "Scene=9" (first column of file "UnityDataSet.txt")     * These levels were shorter

                                     = 141.2s at all other cases

 

5. The following are the transfer functions to treat raw data:

 

  Given by manufacturer to ECG(mV)

  https://www.biosignalsplux.com/datasheets/ECG_Sensor_Datasheet.pdf

  VCC=3; % Operating Voltage

  n=16; % Number of bits of the Channel

  G=1000; % Sensor gain

  ECG=1000*(ECG_raw/n^2)-0.5)*VCC/G;

 

  Given by manufacturer to SC(uS)

  http://biosignalsplux.com/datasheets/EDA_Sensor_Datasheet.pdf

  VCC=3; % Operating Voltage

  n=16; % Number of bits of the Channel

  G=0.12; % Sensor gain

  SC=(SC_raw*VCC/n^2)/G;

 

  Given by manufacturer to RSP(% of displacement - chest strap)

  https://www.biosignalsplux.com/datasheets/PZT_Sensor_Datasheet.pdf

  n=16; % Number of bits of the Channel

  RSP=(RSP_raw/n^2-0.5)*100;