# Project Overview
- **Title**: Facial Ambiguity and Perception: How Face-Likeness Affects Breaking Time in Continuous Flash Suppression
- **Description**: Our research aims to analyze the relationship of breaking time and facelikness using continuous flash suppression. Here, this project includes data preprocessing, statistical analysis, and likeness evaluations.
- **Contributors**: Michael Makoto Martinsen, Yoshino Kairi, Yuya Kinzuka, Fumiaki Sato, Hideki Tamura, Tetsuto Minami, Shigeki Nakauchi
# Data
## Raw Data
- **Description**: The raw data consists of breakting time, face likeness score, objetc likeness score data in csv files
- **BT data location**: analysis\raw\experiment_main
- **Survey data location**: analysis\raw\experiment_survey
- **mondrian mask**:analysis\raw\experiment_survey
# Analysis Code
## Code Overview
- **Description**: The projects inclues R Markdown files and their corresponding HTML outputs detailing the steps of the analysis.
- **Dependencies**: Requires R 4.3.2
- **Setup Instructions**:
1. Install R from [R Project](https://www.r-project.org/).
2. Install necessary packages using in the Rmd files
3. Open the R Markdown files in RStudio and knit them to generate the HTML outputs.
## Scripts
- **analysis_part0.Rmd**
- **Description**: Initial setup and preliminary analysis.
- **analysis_part1_preprocess.Rmd**
- **Description**: Data preprocessing steps.
- **Usage**: This script cleans and preprocesses the raw data for further analysis.
- **analysis_part2_stats.Rmd**
- **Description**: Statistical analysis.
- **Usage**: Executes statistical tests and summarizes the results.
- **analysis_part3_likeness.Rmd**
- **Description**: Likeness evaluation.
- **Usage**: Evaluates likeness measures and generates relevant plots.
- **analysis_part4_targetID.Rmd**
- **Description**: Target identification.
- **Usage**: Identifies targets based on predefined criteria and analysis.
# Figure Location
- Figures can be found in \analysis\results\figures
# Contact
- **Contact Information**: Michael Makoto Martinsen (michael.makoto.martinsen.cz@tut.jp)
