# 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 . ## Authors ESS Work Package 8 team: - Joost Kappelhoff - Roberto Briceno-Rosas - May Doušak Original concept and programming: - May Doušak