Study description

This study looks at how different reverbs effect us in an object finding task in VR.

Your goal is to be as accurate as possible while finding invisible objects in a room. You must use the audio to help you find these, move around the room and when you think you are standing where the object would be physically located,  press the back trigger on either of your controllers. You’ll hear a small sound to confirm, the object will move and you must try to find it again.

Controls: Left stick to move.  Look around using your head, or right stick for quicker movement where needed.
Back triggers to confirm placement.

Participant requirements

An Oculus VR headset and is required for this study.
You should also use headphones or earphones, in the questionnaire you will be asked to note the model used. Oculus link must be used for Oculus Quest Devices for now.

Please download the game file below, unzip this and in the folder you will find a .exe to launch.
After this you will be asked to play through an object-finding game with eight levels on your headset. At the end of this, a questionnaire will automatically pop up on your PC for you to fill in.

Please do not rush, the first level is only to get you acquainted with the game controls and to sort your local audio levels. After this we will be collecting data on how long it takes for you to find these.

You can control your own volume to make it comfortable for you, however please keep it consistent afteryou’ve finished the first level.

NOTE: 

If the questionnaire does not immediately pop up, or you have any other issues, please email me at l.bryce@qmul.ac.uk

We are also collecting some timing data, this is completely anonymous.

EDIT 6pm GMT (25 Jan):

We have now reached payment capacity! Thank you everyone for your interest, we would love to be able to pay absolutely everyone but sadly we have a limit.

If you have already played you will absolutely be paid. If you wish to play without being paid please email me!

Thank you!

Duration

Medium (20 - 44 mins)

Compensation

Participants are uncompensated

Recruitment ends

February 15, 2020