# personality_questionnaire
[](LICENSE)
[](https://www.python.org)
[](https://www.mypy-lang.org/)
Personality and general questionnaire processing methods for various experiments.
# Supported Questionnaires
* BFI-2
* VAS-F
## Inputs
Questionnaire answers are...
* read via command line interface
* ints in a numpy ndarray (.npy)
* ints in a csv file (.csv)
* strings in a csv file (.csv)
## Outputs
For BFI-2, the OCEAN and FACET values are scaled to the range [0..1] per participant.
For VAS-F, the relative values are calculated.
# Setup
### Install package from PyPI
```
pip install personality_questionnaire
```
### Install package for development
```
git clone https://github.com/fodorad/personality_questionnaire
cd personality_questionnaire
pip install .
pip install -U -r requirements.txt
python -m unittest discover -s test
```
# Quick start
### Run interactive BFI-2 questionnaire
If you installed it via pip:
```
personality_questionnaire --participant_id test --questionnaire bfi2
```
alternative call:
```
python personality_questionnaire/api.py --participant_id test --questionnaire bfi2
```
### Run interactive VAS-F (pre- and post-)questionnaires
If you installed it via pip:
```
personality_questionnaire --participant_id test --questionnaire vasf --vasf_tag pre
personality_questionnaire --participant_id test --questionnaire vasf --vasf_tag post
```
alternative call:
```
python personality_questionnaire/api.py --participant_id test --questionnaire vasf --vasf_tag pre
python personality_questionnaire/api.py --participant_id test --questionnaire vasf --vasf_tag post
```
# Projects using exordium
### (2022) PersonalityLinMulT
LinMulT is trained for Big Five personality trait estimation using the First Impressions V2 dataset and sentiment estimation using the MOSI and MOSEI datasets.
* paper: Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures ([pdf](https://proceedings.mlr.press/v173/fodor22a/fodor22a.pdf), [website](https://proceedings.mlr.press/v173/fodor22a.html))
* code: https://github.com/fodorad/PersonalityLinMulT
# What's next
* Add support for the following questionnaires: HEXACO
# Updates
* 1.1.0: Add support for VAS-F and interactive CMD interface.
* 1.0.0: Add support for BFI-2 and PyPI publish.
# Contact
* Ádám Fodor (foauaai@inf.elte.hu)
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