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README.md
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# VIRTUAL SURROUNDING IMPRESSION TOOL
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This is the code that generates virtual surrounding impressions that can be used to detect undesired interviewer behaviour, such as:
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- conducting multiple interviews at the same location (read: faking at their place)
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- 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;...)
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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.
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## The code
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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.
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**Using the Python version is recommended for first-time use**
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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.
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**Requirements**
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- Linux:
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No special packages aside the usually installed stuff: BASH, NetworkManager, any hashing algo (example uses xxhsum)
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- Mac:
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No additional packages
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- Windows:
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WinFii from https://github.com/changyuheng/winwifi should be installed to enable non-admin users to scan for WIFI networks.
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## License
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All code is released under GNU GPL V2:
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This program is free software: you can redistribute it and/or modify it
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under the terms of the GNU General Public License as published by the Free
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Software Foundation, either version 3 of the License, or (at your option)
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any later version.
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This program is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE.
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See the GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along with
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this program. If not, see <https://www.gnu.org/licenses/>.
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## Authors
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ESS Work Package 8 team:
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- Joost Kappelhoff
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- Roberto Briceno-Rosas
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- May Doušak
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Original concept and programming:
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- May Doušak
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