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VirtualSurroundingImpression/README.md
MAY 953ba1b28f first commit
2023-01-18 09:21:42 +01:00

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VIRTUAL SURROUNDING IMPRESSION TOOL

This is the code that generates virtual surrounding impressions that can be used to detect undesired interviewer behaviour, such as:

  • conducting multiple interviews at the same location (read: faking at their place)
  • changing location while conducting a single interview (read: trying to fool the time stamps by responding slowly while in car; filling in the gaps at home;...)

Please not this is only a single indicator and must always be taken with grain of salt. It is possible for a single interviewer to conduct multiple interviews at the same location (e.g. at the office, at the bar,..), but they should be able to explain it.

The code

A full solution that works on all three major computer operating systems (Windows, Mac, Linux) is available in Python/ folder. To run it, you should habe Python V3 or later installed.

Using the Python version is recommended for first-time use

If you have at least basic understanding of computer scripting, you can also use individual code snippets for Win, Lin or Mac in the appropriate subfolders.

Requirements

  • Linux:
    No special packages aside the usually installed stuff: BASH, NetworkManager, any hashing algo (example uses xxhsum)

  • Mac:
    No additional packages

  • Windows: WinFii from https://github.com/changyuheng/winwifi should be installed to enable non-admin users to scan for WIFI networks.

License

All code is released under GNU GPL V2:

This program is free software: you can redistribute it and/or modify it  
under the terms of the GNU General Public License as published by the Free  
Software Foundation, either version 3 of the License, or (at your option)  
any later version.  

This program is distributed in the hope that it will be useful, but WITHOUT  
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or  
FITNESS FOR A PARTICULAR PURPOSE.  
See the GNU General Public License for more details.  

You should have received a copy of the GNU General Public License along with   
this program. If not, see <https://www.gnu.org/licenses/>.

Authors

ESS Work Package 8 team:

  • Joost Kappelhoff
  • Roberto Briceno-Rosas
  • May Doušak

Original concept and programming:

  • May Doušak