Research Project - VR Environments

Task 9 Elevator

In this task, users need to pay attention to the text message that will show the right floor that they need to go for the interview. Once they receive the message, they will need to press the right floor. Users will have the option to see again the text message as many times as they want to by pressing the button of the controller.

Aims:
To understand users ability to focus on a divided attention task, their visual memory, their response strategy, and motor impulsivity.

Groups of participants:
-Controls
-People with ADHD/ADHD traits
-People who stutter

Task Details:
In this task, two human characters will be having a conversation with each other. There will be elevator music sounds, human characters talking sounds, sounds from elevator movement and sounds of the opening/closing door of the elevator. There will be a time limit of 10 minutes. Approximately this task can take 2 minutes.

Questionnaire:
Q1: How many floors did the building have? (Right answer 30)
Q2: The other human avatars were distracting me to focus on the task.
Q3: I think I did very well in completing this task.
Q4: I think I didn’t do very well in completing this task.
Q5: The task was interesting and was similar to a scenario that can happen in our day-to-day life.
Q6: I felt present and involved in VR.

Data Collected:
-From the task (we save username, phone pressed (how many times they pressed the button to see the phone with the text message), accuracy (low, medium, or high depending on the time pressing the right button on the elevator and how many times they pressed the button to show the phone), reaction time (from the point when we show the floor number that users need to go to till the task is completed), timestamp)
-Eye tracker VR Add on (Pupil Labs)
-EEG VR Add on (Looxid Link)
-From the questionnaire

Hardware:
-Alienware m15 Gaming Laptop
-HTC Vive Pro
-Fovitec 2x 7'6" Light Stand VR Compatible Kit
-Pupil Labs
-Looxid Link

Software:
-Unity
-Unity Asset Store
-Daz3D
-Blender
-IBM TTS Api

Programming Languages used:
-C#
-Python using Spyder in Anaconda
-Jupyter Notebook
-MySQL
-PHP API