# FaReT - FaReT's official repository is in GitHub: <https://github.com/fsotoc/FaReT> - The files are also directly accessible from the "Files" section of this OSF page - For instructions on how to install and use the toolkit, see the [README document](https://osf.io/6v5w8/). ## Validation Study ### Survey - A printed version of the survey is available in the "Files" section of this OSF page. The file name is `printed_survey.pdf`. To keep the size small, the file does not include any images, but the stimulus presented is identified through a simple system: - Each stimulus defines a different "block" - The block identifiers start with two letters and a number: - AM_1 is average male - AF_1 is average female - AI_1 is global average - CM_1, CM_2, etc., are male identity 1, 2, etc. - CF_1, CF_2, etc., are female identity 1, 2, etc. - The last part of the identifier is simply the name of the expression shown in the stimulus (i.e., afraid, surprised, etc.) - A Qualtrics Survey File (QSF) that can be imported into Qualtrics to re-create the survey is also available. The file name is `qualtrics_survey.qsf` ### Stimuli - Scripts to obtain the stimuli used in the survey using FaReT include [`json_maker_code.py`][1] and [make_gif_plugin.py][2] (the latter being a plugin for GIMP). The json maker generated by the first script requires *.mhm and *.mhpose files (like those included in our model and expression database). The JSON files it produces can be loaded by the Interpolate Render plugin in MakeHuman, which can be converted to GIFs in GIMP using the make_gif_plugin.py. ### Data - Raw data from the validation study are available in the "Files" section of this OSF page. The file name is `raw_data_full.csv` - Each row includes all data from a single participant. The columns represent answers to different questions (see paper for full description of procedures): - The `id` column represents a random identifier. - The `Sex`, `Age_1`, and `Race` columns are reported demographics. - The following columns represent ratings given by the participant to stimuli. Each column has a unique 6-digit numeric identifier. - The first three digits identify the stimulus presented to the participant. The stimuli are numbered from 000 to 083, and the file `printed_survey.pdf` includes all the information necessary to determine what face models and expression pose models correspond to each stimulus number. - The last three digits identify what the participant was asked to rate. In order, the participants were asked to rate the extent to which the faces appeared: - threatening (001) - attractive (002) - baby-faced (003) - trustworthy (004) - masculine (005) - fearful (006) - sad (007) - angry (008) - happy (009) - surprised (010) - disgusted (011) - unusual (012) - eurocentric vs. afrocentric (013) - The last 4 columns represent responses to "catch" questions. Correct answers are: 5, 3, 3, 2. [1]: https://osf.io/vrdp8/ [2]: https://osf.io/kyztd/