Section 3 Administering to Participants

Data collection can proceed through three main avenues, described in brief below.

3.1 Website Administration

If you wish to take full advantage of the Silcton measures, setting up a lab account with the Virtual Silcton website is the way to go.

You’ll have access to the [Silcton][#Silcton Measures] and [Other][#Other Measures]; your data will be stored and accessible via the cloud; you’ll be able to customize your studies (which partition your data); and you can run all studies online.

However, your data will be public (for participants who agree, after a maximum of 3 years upon beginning the study) and accessible to all other website users.

You also have limited customization options.

3.2 Standalone Builds

If you are concerned about data security, a stable internet connection, or want to have a non-internet backup for the study, we provide the following measures as standalone Unity builds:

  • Main routes
  • Connecting routes
  • Free exploration
  • Onsite pointing task

See the OSF page for details: https://osf.io/fykr7/

Note: The navigation logs and onsite pointing data will automatically export to your /Documents folder (Windows) or your Home folder (Mac).

We also provide analysis code for the onsite pointing data on our Github page: https://github.com/smweis/Virtual_Silcton_Analysis

3.3 Unity Files

If you’d like something besides the encoding or retrieval measures we provide, we also have the Unity files available as a Github repository: http://github.com/Scann-Lab/VirtualSilctonUnity/

There are two branches:

  • Master: The standard Unity scenes for the website and Standalone
  • SilctonViveVR: The Unity scenes for use with the HTC Vive VR headset and Virtuix Omnidirectional treadmill.

Our ability to provide support for using these files is extremely limited.

3.4 Canonical Silcton

The “canonical Silcton” setup is as follows:

  • SBSOD
  • Virtual Silcton Route Learning (Main Routes)
  • Virtual Silcton Route Learning (Main Routes)
  • Virtual Silcton Route Learning (Connecting Routes)
  • Virtual Silcton Route Learning (Connecting Routes)
  • Onsite Pointing
  • Model building